IDREF3408 false 2025-04-20T12:25:12.2648426+02:00 NonProductionDataflow true Air Emissions Accounts Air Emissions Accounts NonProductionDataflow true SDG Country Global Dataflow Reporting and dissemination dataflow for non-harmonized global SDG indicators reported by countries. NonProductionDataflow true SDG Harmonized Global Dataflow Reporting and dissemination dataflow for harmonized global SDG indicators. NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=NLD+NL001F+NL002F+NL003F+NL005F+NL006F+NL007F+NL008F+NL009F+NL010F+NL011F+NL012F+NL013F+NL014F+NL015F+NL016F+NL017F+NL018F+NL022F+NL025F+NL028F+NL029F+NL030F+NL031F+NL032F+NL033F+NL035F+NL037F+NL038F+NL039F+NL040F+NL041F+NL042F+NL043F+NL044F+NL047F,RET_PERIOD=Y_100,MEASURE=CF_POP_EXP,TIME_PERIOD_START=2000 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Coastal flooding - Cities and FUAs Inondations côtières - Villes et FUA <p align="justify">This dataset provides indicators of population and built-up exposure to coastal floods.</p> <h3>Data sources and methodology</h3> <p align="justify">Coastal flooding indicators are estimated using the Global coastal flood hazard maps <a href=https://doi.org/10.1038/ncomms11969>(Muis, S. et al., 2016)</a>. This dataset provides the extent of coastal floods for different return periods (10 to 100 years) with a 1-kilometre resolution. A return period corresponds to the estimated time interval between floods of similar intensity. Built-up area exposure to coastal floods is computed by intersecting this map with Copernius annual land cover data <a href=https://doi.org/10.24381/cds.006f2c9a>(Copernicus Climate Change Service, Climate Data Store, 2019)</a> and population exposure is computed using the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1da">Coastal flooding - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides indicators of population and built-up exposure to coastal floods.</p> <h3>Data sources and methodology</h3> <p align="justify">Coastal flooding indicators are estimated using the Global coastal flood hazard maps <a href=https://doi.org/10.1038/ncomms11969>(Muis, S. et al., 2016)</a>. This dataset provides the extent of coastal floods for different return periods (10 to 100 years) with a 1-kilometre resolution. A return period corresponds to the estimated time interval between floods of similar intensity. Built-up area exposure to coastal floods is computed by intersecting this map with Copernius annual land cover data <a href=https://doi.org/10.24381/cds.006f2c9a>(Copernicus Climate Change Service, Climate Data Store, 2019)</a> and population exposure is computed using the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1da">Coastal flooding - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,MEASURE=FIRE_LAND_EXP DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Wildfires - Cities and FUAs Feux de forêt - Villes et FUA <p align="justify">This dataset provides indicators of population and land exposure to wildfires.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicators use the JRC's Global wildfire dataset of fire regimes and fire behaviours <a href=https://doi.org/10.1038/s41597-019-0312-2>(Artés, T. et al., 2019)</a>, providing monthly individual fire perimeters for 2000-2023. Burnt areas are aggregated by year to obtain the total burnt land for each year. Built-up area exposure to wildfire is computed by intersecting the total burnt area with Copernius annual land cover data <a href=https://doi.org/10.24381/cds.006f2c9a>(Copernicus Climate Change Service, Climate Data Store, 2019)</a>. For population exposure, a 5-km buffer was added to the wildfire perimeters before intersecting with the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d7">Wildfires - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides indicators of population and land exposure to wildfires.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicators use the JRC's Global wildfire dataset of fire regimes and fire behaviours <a href=https://doi.org/10.1038/s41597-019-0312-2>(Artés, T. et al., 2019)</a>, providing monthly individual fire perimeters for 2000-2023. Burnt areas are aggregated by year to obtain the total burnt land for each year. Built-up area exposure to wildfire is computed by intersecting the total burnt area with Copernius annual land cover data <a href=https://doi.org/10.24381/cds.006f2c9a>(Copernicus Climate Change Service, Climate Data Store, 2019)</a>. For population exposure, a 5-km buffer was added to the wildfire perimeters before intersecting with the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d7">Wildfires - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,HEAT_STRESS=GE32 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Heat stress - Cities and FUAs Stress thermique - Villes et FUA <p align="justify">This dataset provides an indicator of population exposure to heat stress.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses the Universal Thermal Comfort Index (UTCI). The UTCI enables to assess the impact of atmospheric conditions on the human body by considering air temperature, wind, radiation and humidity. UTCI values from 32°C to 38°C are considered as strong heat stress, from 38°C to 46°C as very strong heat stress, and above 46°C as extreme heat stress. Population exposure to heat stress was computed using the hourly thermal comfort indices grids from the Copernicus Climate Data Store <a href=https://doi.org/10.24381/cds.553b7518>(Di Napoli C. et al.)</a>. For each 0.25° by 0.25° grid cell, the number of days for which the maximum UTCI value is above each heat stress threshold (32°C, 38°C and 46°C) is computed. FUA and city level indicators correspond to the population-weighted average number of days above each heat stress threshold, obtained by intersecting the computed grid with the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d8">Heat stress - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides an indicator of population exposure to heat stress.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses the Universal Thermal Comfort Index (UTCI). The UTCI enables to assess the impact of atmospheric conditions on the human body by considering air temperature, wind, radiation and humidity. UTCI values from 32°C to 38°C are considered as strong heat stress, from 38°C to 46°C as very strong heat stress, and above 46°C as extreme heat stress. Population exposure to heat stress was computed using the hourly thermal comfort indices grids from the Copernicus Climate Data Store <a href=https://doi.org/10.24381/cds.553b7518>(Di Napoli C. et al.)</a>. For each 0.25° by 0.25° grid cell, the number of days for which the maximum UTCI value is above each heat stress threshold (32°C, 38°C and 46°C) is computed. FUA and city level indicators correspond to the population-weighted average number of days above each heat stress threshold, obtained by intersecting the computed grid with the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d8">Heat stress - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Precipitation - FUAs Précipitations - FUAs <p align="justify">This dataset provides indicators of total precipitation and extreme precipitation days in Functional Urban Areas (FUAs).</p> <h3>Data sources and methodology</h3> <p align="justify">The indicators use <a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR">ERA5-Land</a> data. Total precipitation is the sum of all liquid and frozen water—such as rain and snow—that reaches the Earth's surface each year. It excludes fog, dew, and any precipitation that evaporates before reaching the ground. Extreme precipitation days are defined as days with more than 20 mm of total precipitation.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d6">Precipitations - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides indicators of total precipitation and extreme precipitation days in Functional Urban Areas (FUAs).</p> <h3>Data sources and methodology</h3> <p align="justify">The indicators use <a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR">ERA5-Land</a> data. Total precipitation is the sum of all liquid and frozen water—such as rain and snow—that reaches the Earth's surface each year. It excludes fog, dew, and any precipitation that evaporates before reaching the ground. Extreme precipitation days are defined as days with more than 20 mm of total precipitation.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d6">Precipitations - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,RET_PERIOD=Y_100,MEASURE=RF_POP_EXP,TIME_PERIOD_START=2000 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée River flooding - Cities and FUAs Inondations fluviales - Villes et FUA <p align="justify">This dataset provides indicators of population and built-up exposure to river floods.</p> <h3>Data sources and methodology</h3> <p align="justify">River flooding indicators use the River Flood Hazard Maps at European and Global Scales datasets <a href=https://doi.org/10.2905/1D128B6C-A4EE-4858-9E34-6210707F3C81>(Dottori, F. et al., 2021)</a>, which provide the extent of river floods for different return periods (10 to 100 years). A return period corresponds to the estimated time interval between floods of similar intensity. For OECD countries located in Europe and the Mediterranean Basin, the regional 250-metre resolution map was used. For the remaining OECD countries, the global map with a spatial granularity of 1 km was used. Built-up area exposure to river floods is computed by intersecting this map with Copernius annual land cover data <a href=https://doi.org/10.24381/cds.006f2c9a>(Copernicus Climate Change Service, Climate Data Store, 2019)</a> and population exposure is computed using the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d9 ">River flooding - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides indicators of population and built-up exposure to river floods.</p> <h3>Data sources and methodology</h3> <p align="justify">River flooding indicators use the River Flood Hazard Maps at European and Global Scales datasets <a href=https://doi.org/10.2905/1D128B6C-A4EE-4858-9E34-6210707F3C81>(Dottori, F. et al., 2021)</a>, which provide the extent of river floods for different return periods (10 to 100 years). A return period corresponds to the estimated time interval between floods of similar intensity. For OECD countries located in Europe and the Mediterranean Basin, the regional 250-metre resolution map was used. For the remaining OECD countries, the global map with a spatial granularity of 1 km was used. Built-up area exposure to river floods is computed by intersecting this map with Copernius annual land cover data <a href=https://doi.org/10.24381/cds.006f2c9a>(Copernicus Climate Change Service, Climate Data Store, 2019)</a> and population exposure is computed using the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d9 ">River flooding - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Air temperature, hot days, tropical nights and icing days - FUAs Température de l'air, journées chaudes, nuits tropicales et jours de gel - FUAs <p align="justify">This dataset provides indicators of air temperature, hot days, tropical nights and icing days.</p> <h3>Data sources and methodology</h3> <p align="justify">Indicators are estimated using <a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR">ERA5-Land</a> data. Air temperature indicators correspond to the average annual air temperature at a height of 2 meters. Hot days correspond to the number of days when the maximum temperature exceeds 35°C. Tropical nights correspond to the days when the minimum temperature is above 20°C, and icing days to the number of days when the maximum temperature is below 0°C.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d5">Air temperature, hot days, tropical nights and icing days - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides indicators of air temperature, hot days, tropical nights and icing days.</p> <h3>Data sources and methodology</h3> <p align="justify">Indicators are estimated using <a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR">ERA5-Land</a> data. Air temperature indicators correspond to the average annual air temperature at a height of 2 meters. Hot days correspond to the number of days when the maximum temperature exceeds 35°C. Tropical nights correspond to the days when the minimum temperature is above 20°C, and icing days to the number of days when the maximum temperature is below 0°C.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d5">Air temperature, hot days, tropical nights and icing days - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,AGE=_T,SEX=_T DEFAULT AGE:OECD.CFE.EDS:HCL_AGE(1.0).H HIER_CONTEXT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Population by age and sex - Cities and FUAs Population par sexe et groupe d'âges - Villes et FUA <p align="justify">This dataset provides population counts by 5-year age groups and sex for OECD Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Population by age and sex data is collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available at <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21612592-67a6-4718-baf5-23c7f832ffed>this link</a>.<br /><br /> When population by age and sex data is not available at such granular level, FUA and city level indicators are estimated by adjusting the regional (OECD TL3 regions) values to the FUA and city boundaries, based on the population distribution in each region. Regional values (population by age and sex) in TL3 regions are used as data inputs and combined with gridded total population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA and city boundaries are intersected with TL3 borders and coefficients are computed for each region, based on the share of the regional population that lives within the FUA/city. These coefficients are then applied to the variables of interest (e.g. population by age groups) and allocated to the FUA/city. In case several regions intersect the FUA/city, the adjusted values of intersecting regions are summed. This approach assumes that the variables of interest have the same spatial distribution as the total population. Therefore, the modelled indicators should be interpreted with caution.<br /><br /> </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1dr>Population by age and sex - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides population counts by 5-year age groups and sex for OECD Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Population by age and sex data is collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available at <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21612592-67a6-4718-baf5-23c7f832ffed>this link</a>.<br /><br /> When population by age and sex data is not available at such granular level, FUA and city level indicators are estimated by adjusting the regional (OECD TL3 regions) values to the FUA and city boundaries, based on the population distribution in each region. Regional values (population by age and sex) in TL3 regions are used as data inputs and combined with gridded total population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA and city boundaries are intersected with TL3 borders and coefficients are computed for each region, based on the share of the regional population that lives within the FUA/city. These coefficients are then applied to the variables of interest (e.g. population by age groups) and allocated to the FUA/city. In case several regions intersect the FUA/city, the adjusted values of intersecting regions are summed. This approach assumes that the variables of interest have the same spatial distribution as the total population. Therefore, the modelled indicators should be interpreted with caution.<br /><br /> </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1dr>Population by age and sex - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Dependency ratio - Cities and FUAs Taux de dépendance - Villes et FUA <p align="justify">This dataset provides an indicator of dependency ratios for OECD Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Dependency ratios are derived from population by age and sex data collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available at <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21612592-67a6-4718-baf5-23c7f832ffed>this link</a>.<br /><br /> When population by age and sex data is not available at such granular level, FUA and city level indicators are estimated by adjusting the regional (OECD TL3 regions) values to the FUA and city boundaries, based on the population distribution in each region. Regional values (population by age and sex) in TL3 regions are used as data inputs and combined with gridded total population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA and city boundaries are intersected with TL3 borders and coefficients are computed for each region, based on the share of the regional population that lives within the FUA/city. These coefficients are then applied to the variables of interest (e.g. population by age groups) and allocated to the FUA/city. In case several regions intersect the FUA/city, the adjusted values of intersecting regions are summed. This approach assumes that the variables of interest have the same spatial distribution as the total population. Therefore, the modelled indicators should be interpreted with caution.<br /><br /> </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1ds>Dependency ratio - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides an indicator of dependency ratios for OECD Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Dependency ratios are derived from population by age and sex data collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available at <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21612592-67a6-4718-baf5-23c7f832ffed>this link</a>.<br /><br /> When population by age and sex data is not available at such granular level, FUA and city level indicators are estimated by adjusting the regional (OECD TL3 regions) values to the FUA and city boundaries, based on the population distribution in each region. Regional values (population by age and sex) in TL3 regions are used as data inputs and combined with gridded total population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA and city boundaries are intersected with TL3 borders and coefficients are computed for each region, based on the share of the regional population that lives within the FUA/city. These coefficients are then applied to the variables of interest (e.g. population by age groups) and allocated to the FUA/city. In case several regions intersect the FUA/city, the adjusted values of intersecting regions are summed. This approach assumes that the variables of interest have the same spatial distribution as the total population. Therefore, the modelled indicators should be interpreted with caution.<br /><br /> </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1ds>Dependency ratio - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Foreign-born population - Cities and FUAs Population née à l'étranger - Villes et FUA <p align="justify">This dataset provides population counts for native and foreign-born population in OECD Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Population by origin data is collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available at <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21612592-67a6-4718-baf5-23c7f832ffed>this link</a>.<br /><br /> For more details on data sources for each country, please see <a href=https://doi.org/10.1787/a79b007d-en>Astruc-Le Souder et al. (2024)</a>. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/yy">Foreign-born population - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides population counts for native and foreign-born population in OECD Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Population by origin data is collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available at <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21612592-67a6-4718-baf5-23c7f832ffed>this link</a>.<br /><br /> For more details on data sources for each country, please see <a href=https://doi.org/10.1787/a79b007d-en>Astruc-Le Souder et al. (2024)</a>. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/yy">Foreign-born population - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,MEASURE=DOWN_SPEED DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Internet speed - Cities and FUAs Vitesse de connexion Internet - Villes et FUA <p align="justify">This dataset provides an indicator of internet speed (downloading and uploading speeds) in FUAs and cities compared to the national values.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses quarterly data from Speedtest® by Ookla® Global Fixed and Mobile Network Performance Maps, based on analysis by Ookla of Speedtest Intelligence® data for 2019-2024. The indicator is derived from internet speed tests taken from mobile devices with GPS-quality location and a non-cellular connection type (e.g. WiFi, ethernet). Yearly values are based on the weighted average of quarterly values, using the number of speed tests performed.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1df">Internet speed - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides an indicator of internet speed (downloading and uploading speeds) in FUAs and cities compared to the national values.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses quarterly data from Speedtest® by Ookla® Global Fixed and Mobile Network Performance Maps, based on analysis by Ookla of Speedtest Intelligence® data for 2019-2024. The indicator is derived from internet speed tests taken from mobile devices with GPS-quality location and a non-cellular connection type (e.g. WiFi, ethernet). Yearly values are based on the weighted average of quarterly values, using the number of speed tests performed.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1df">Internet speed - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F,MEASURE=LAB_PROD DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Economy - FUAs Économie - FUA <p align="justify">This dataset provides economic indicators for FUAs of more than 250 000 inhabitants, including GDP, GDP per capita, jobs and labour productivity.</p> <h3>Data sources and methodology</h3> <p align="justify"> When economic statistics are unavailable at a more granular level than the FUA (e.g. municipal level), indicators are estimated by adjusting regional (OECD TL2 and TL3 regions) values to FUA boundaries, based on the population distribution in each region. Regional values (GDP and jobs) in TL3 regions are used as data inputs and combined with gridded population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA boundaries are intersected with TL3 borders to compute the share of the regional population that lives within FUAs in each region. This share is then applied to the variable of interest (e.g. GDP) and allocated to the FUA. In case several regions intersect the FUA, the adjusted values of intersecting regions are summed. For countries where TL3-level data is not available, data for TL2 regions is used. This approach assumes that the variable of interest has the same spatial distribution as population. Therefore, the modelled indicators should be interpreted with caution.<br /><br /> When a more granular level is available, data is aggregated for each FUA. For example in the United States, GDP estimates are available at the county-level (<a href=https://www.bea.gov/data/employment/employment-county-metro-and-other-areas>US Bureau of Economic Analysis</a>), and then aggregated by FUA. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1e5">Economy - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides economic indicators for FUAs of more than 250 000 inhabitants, including GDP, GDP per capita, jobs and labour productivity.</p> <h3>Data sources and methodology</h3> <p align="justify"> When economic statistics are unavailable at a more granular level than the FUA (e.g. municipal level), indicators are estimated by adjusting regional (OECD TL2 and TL3 regions) values to FUA boundaries, based on the population distribution in each region. Regional values (GDP and jobs) in TL3 regions are used as data inputs and combined with gridded population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA boundaries are intersected with TL3 borders to compute the share of the regional population that lives within FUAs in each region. This share is then applied to the variable of interest (e.g. GDP) and allocated to the FUA. In case several regions intersect the FUA, the adjusted values of intersecting regions are summed. For countries where TL3-level data is not available, data for TL2 regions is used. This approach assumes that the variable of interest has the same spatial distribution as population. Therefore, the modelled indicators should be interpreted with caution.<br /><br /> When a more granular level is available, data is aggregated for each FUA. For example in the United States, GDP estimates are available at the county-level (<a href=https://www.bea.gov/data/employment/employment-county-metro-and-other-areas>US Bureau of Economic Analysis</a>), and then aggregated by FUA. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1e5">Economy - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,MEASURE=HDD DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Cooling and heating degree days - Cities and FUAs Degrés-jours de chauffage et de refroidissement - Villes et FUA <p align="justify">This dataset provides indicators of Cooling and Heating Degree Days (CDDs and HDDs) for FUAs and cities. CDDs and HDDs are measurements used to estimate energy usage based on outdoor temperature. CDD measures the demand for cooling, while HDD measures the demand for heating, both calculated relative to a baseline temperature.</p> <h3>Data sources and methodology</h3> <p align="justify"> The indicators use 0.1-degree resolution grids from the <a href=https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR>ERA5-Land dataset</a>. Annual CDDs are the sum over a year of the differences between the daily mean outdoor air temperature and the threshold temperature when the outdoor temperature is above the threshold temperature. HDDs are the sum over a year of the differences between the threshold temperature and the daily mean outdoor air temperature when the outdoor temperature is below the threshold temperature. Threshold temperatures are set to 22°C for CDDs and 15°C for HDDs.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dj">Cooling and heating degree days - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides indicators of Cooling and Heating Degree Days (CDDs and HDDs) for FUAs and cities. CDDs and HDDs are measurements used to estimate energy usage based on outdoor temperature. CDD measures the demand for cooling, while HDD measures the demand for heating, both calculated relative to a baseline temperature.</p> <h3>Data sources and methodology</h3> <p align="justify"> The indicators use 0.1-degree resolution grids from the <a href=https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR>ERA5-Land dataset</a>. Annual CDDs are the sum over a year of the differences between the daily mean outdoor air temperature and the threshold temperature when the outdoor temperature is above the threshold temperature. HDDs are the sum over a year of the differences between the threshold temperature and the daily mean outdoor air temperature when the outdoor temperature is below the threshold temperature. Threshold temperatures are set to 22°C for CDDs and 15°C for HDDs.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dj">Cooling and heating degree days - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F,UNIT_MEASURE=M2_PS DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Green areas - FUAs Espaces verts - FUA <p align="justify">This dataset provides an indicator of the availability of green areas in urban centres of Functional Urban Areas (FUAs).</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses ESA Worldcover data <a href="https://zenodo.org/record/5571936">(Zanaga et al., 2021)</a>, providing worldwide land cover data for 2020 at a 10 metre resolution. Green areas include trees, shrublands and grasslands. To ensure comparability across FUAs, only urban centres as defined by the degree of urbanisation are considered.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1di">Green areas - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides an indicator of the availability of green areas in urban centres of Functional Urban Areas (FUAs).</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses ESA Worldcover data <a href="https://zenodo.org/record/5571936">(Zanaga et al., 2021)</a>, providing worldwide land cover data for 2020 at a 10 metre resolution. Green areas include trees, shrublands and grasslands. To ensure comparability across FUAs, only urban centres as defined by the degree of urbanisation are considered.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1di">Green areas - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,UNIT_MEASURE=MCG_M3,MEASURE=PM25_POP_EXP DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Air pollution - Cities and FUAs Pollution de l'air - Villes et FUA <p align="justify">This dataset provides indicators of PM2.5, PM10 (particulate matter), ozone and nitrogen dioxide air pollution in FUAs and cities.</p> <h3>Data sources and methodology</h3> <p align="justify">Air pollution indicators use PlumLabs ( “Plume Labs by AccuWeather: Accurate Historical, Live, and Forecast Air Quality Data.” Plume Labs by AccuWeather: Accurate Historical, Live, and Forecast Air Quality Data, plumelabs.com/en/forecast-api/) gridded data. The available 0.1° by 0.1° resolution grids provide the estimated mean concentration of PM2.5, PM10, ozone and nitrogen dioxide. Indicators provide an estimate of the population-weighted average pollutant concentration and the share of the population living in areas where pollutant concentrations exceed World Health Organization guidelines (5 μg/m³ for PM2.5, 15 μg/m³ for PM10, 60 μg/m³ for ozone, and 10 μg/m³ for nitrogen dioxide).</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dg">Air pollution - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides indicators of PM2.5, PM10 (particulate matter), ozone and nitrogen dioxide air pollution in FUAs and cities.</p> <h3>Data sources and methodology</h3> <p align="justify">Air pollution indicators use PlumLabs ( “Plume Labs by AccuWeather: Accurate Historical, Live, and Forecast Air Quality Data.” Plume Labs by AccuWeather: Accurate Historical, Live, and Forecast Air Quality Data, plumelabs.com/en/forecast-api/) gridded data. The available 0.1° by 0.1° resolution grids provide the estimated mean concentration of PM2.5, PM10, ozone and nitrogen dioxide. Indicators provide an estimate of the population-weighted average pollutant concentration and the share of the population living in areas where pollutant concentrations exceed World Health Organization guidelines (5 μg/m³ for PM2.5, 15 μg/m³ for PM10, 60 μg/m³ for ozone, and 10 μg/m³ for nitrogen dioxide).</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dg">Air pollution - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AT001F+AT002F+AT003F+AT004F+AT005F+AT006F,TIME_SEASON=DAY_SUMMER DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Urban heat island - FUAs Îlot de chaleur urbain - FUA <p align="justify">This dataset provides an indicator of the urban heat island intensity in FUAs. Cities often record higher temperatures than their surrounding areas due to the urban heat island effect. This phenomenon results from high building density, heat generated by human activities, building materials and limited vegetation.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator is defined as the difference between the mean temperature for urban lands and the mean temperature for non-urban lands. Following the International Geoshpere-Biosphere Programme (IGBP) classification, urban lands correspond to the "urban and built-up lands" class from the <a href="https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD12Q1">MODIS yearly land cover data</a>, and non-urban lands correspond to the remaining classes, except "water bodies". Land surface temperature is derived from <a href="https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD11A1">MODIS Terra</a> and <a href="https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD11A1">Aqua</a> land surface temperature daily datasets. The mean temperature is computed for both urban and non-urban lands for the whole year and for summer only (1 June to 31 August for the Northern Hemisphere and 1 December to 28 February for the Southern hemisphere). More details can be found in <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2022_14108660-en/full-report/component-36.html#section-d1e18979">Regions and Cities at a Glance 2022</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dh">Urban heat island - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides an indicator of the urban heat island intensity in FUAs. Cities often record higher temperatures than their surrounding areas due to the urban heat island effect. This phenomenon results from high building density, heat generated by human activities, building materials and limited vegetation.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator is defined as the difference between the mean temperature for urban lands and the mean temperature for non-urban lands. Following the International Geoshpere-Biosphere Programme (IGBP) classification, urban lands correspond to the "urban and built-up lands" class from the <a href="https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD12Q1">MODIS yearly land cover data</a>, and non-urban lands correspond to the remaining classes, except "water bodies". Land surface temperature is derived from <a href="https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD11A1">MODIS Terra</a> and <a href="https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD11A1">Aqua</a> land surface temperature daily datasets. The mean temperature is computed for both urban and non-urban lands for the whole year and for summer only (1 June to 31 August for the Northern Hemisphere and 1 December to 28 February for the Southern hemisphere). More details can be found in <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2022_14108660-en/full-report/component-36.html#section-d1e18979">Regions and Cities at a Glance 2022</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dh">Urban heat island - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true TIME_PERIOD LAYOUT_COLUMN PATENT_TECH LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=DNK+DK001F+DK002F+DK003F+DK004 DEFAULT PATENT_TECH:OECD.CFE.EDS:HCL_PATENT_TECH(1.0).H HIER_CONTEXT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Total and environment-related patents - FUAs Brevets totaux et brevets liés à l'environnement - FUAs <p align="justify">This dataset provides indicators on total and environment-related patents in Functional Urban Areas (FUAs). The indicator is defined as the fractional count of (environment-related) patent applications.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses patent applications filled under the Patent Cooperation Treaty (PCT) at the World International Property Organisation (WIPO) from the OECD, STI Micro-data Lab Intellectual Property Database, <a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a>. <br /><br /> Patents are allocated to FUAs based on the postal addresses of inventors. The year refers to the date the patent application was filed. <br /><br /> Patents are classified as environment-related following their technology domain, obtained from the methodology of the <a href="https://data-explorer.oecd.org/vis?lc=en&fs[0]=Topic%2C1%7CScience%252C%20technology%20and%20innovation%23INT%23%7CIntellectual%20property%23INT_PRP%23&pg=0&fc=Topic&bp=true&snb=8&vw=ov&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_PATENTS%40DF_PATENTS_ENVIROMENT&df[ag]=OECD.STI.PIE&df[vs]=1.0&dq=.A...PRIORITY...INVENTOR..._T&pd=2020%2C2021&to[TIME_PERIOD]=false">Environment-related technologies patents</a> national-level dataset (<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=125cb3c8-3023-4ddc-940e-6ab627068740">database documentation</a>). Environment-related patents include patents on climate change mitigation, environmental management, sustainable ocean economy and climate change adaptation technologies. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1dn>Environment-related patents - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides indicators on total and environment-related patents in Functional Urban Areas (FUAs). The indicator is defined as the fractional count of (environment-related) patent applications.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses patent applications filled under the Patent Cooperation Treaty (PCT) at the World International Property Organisation (WIPO) from the OECD, STI Micro-data Lab Intellectual Property Database, <a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a>. <br /><br /> Patents are allocated to FUAs based on the postal addresses of inventors. The year refers to the date the patent application was filed. <br /><br /> Patents are classified as environment-related following their technology domain, obtained from the methodology of the <a href="https://data-explorer.oecd.org/vis?lc=en&fs[0]=Topic%2C1%7CScience%252C%20technology%20and%20innovation%23INT%23%7CIntellectual%20property%23INT_PRP%23&pg=0&fc=Topic&bp=true&snb=8&vw=ov&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_PATENTS%40DF_PATENTS_ENVIROMENT&df[ag]=OECD.STI.PIE&df[vs]=1.0&dq=.A...PRIORITY...INVENTOR..._T&pd=2020%2C2021&to[TIME_PERIOD]=false">Environment-related technologies patents</a> national-level dataset (<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=125cb3c8-3023-4ddc-940e-6ab627068740">database documentation</a>). Environment-related patents include patents on climate change mitigation, environmental management, sustainable ocean economy and climate change adaptation technologies. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1dn>Environment-related patents - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F,MEASURE=EMP_RATIO,AGE=Y15T64 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Labour market - FUAs Marché du travail - FUA <p align="justify">This dataset provides labour market indicators for FUAs of more than 250 000 inhabitants, including labour force, participation rate, employment, employment to population ratio, unemployment and unemployment rate.</p> <h3>Data sources and methodology</h3> <p align="justify"> When labour statistics are unavailable at a more granular level than FUAs (e.g. municipal level), the indicators are estimated by adjusting the regional (OECD TL2 and TL3 regions) values to the FUA boundaries, based on the population distribution in each region. Regional values (labour force, employment and unemployment) in TL3 regions are used as data inputs and combined with gridded population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA boundaries are intersected with TL3 borders to compute the share of the regional population that lives within FUAs in each region. This share is then applied to the variable of interest (e.g. employment) and allocated to the FUA. In case several regions intersect the FUA, the adjusted values of intersecting regions are summed. For countries where TL3-level data is not available, data for TL2 regions is used. This approach assumes that the variable of interest has the same spatial distribution as population. Therefore, the modelled indicators should be interpreted with caution.<br /><br /> When a more granular level is available, data is aggregated for each FUA. For example in the United States, labour market data is available at the county-level (<a href=https://www.bls.gov/lau/#cntyaa>US Bureau of Labor Statistics</a>), and then aggregated by FUA. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dx">Labour market - FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides labour market indicators for FUAs of more than 250 000 inhabitants, including labour force, participation rate, employment, employment to population ratio, unemployment and unemployment rate.</p> <h3>Data sources and methodology</h3> <p align="justify"> When labour statistics are unavailable at a more granular level than FUAs (e.g. municipal level), the indicators are estimated by adjusting the regional (OECD TL2 and TL3 regions) values to the FUA boundaries, based on the population distribution in each region. Regional values (labour force, employment and unemployment) in TL3 regions are used as data inputs and combined with gridded population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA boundaries are intersected with TL3 borders to compute the share of the regional population that lives within FUAs in each region. This share is then applied to the variable of interest (e.g. employment) and allocated to the FUA. In case several regions intersect the FUA, the adjusted values of intersecting regions are summed. For countries where TL3-level data is not available, data for TL2 regions is used. This approach assumes that the variable of interest has the same spatial distribution as population. Therefore, the modelled indicators should be interpreted with caution.<br /><br /> When a more granular level is available, data is aggregated for each FUA. For example in the United States, labour market data is available at the county-level (<a href=https://www.bls.gov/lau/#cntyaa>US Bureau of Labor Statistics</a>), and then aggregated by FUA. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dx">Labour market - FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,MEASURE=POP_DEN,TIME_PERIOD_START=2010 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Population and built-up density - Cities and FUAs Densité de population et de la surface bâtie - Villes et FUA <p align="justify">This dataset provides indicators of population density and built-up area in FUAs and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> FUA and city surfaces are calculated from FUA and city shapefiles, using GIS tools. Built-up data uses GHS built-up surface grids <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. Population counts are extracted from the <a href=https://data-explorer.oecd.org/vis?df[ds]=Design&df[id]=DSD_FUA_DEMO%40DF_AGE_SEX&df[ag]=OECD.CFE.EDS>Population by age and sex - FUAs and cities</a> dataset. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1e6">Population and built-up density - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides indicators of population density and built-up area in FUAs and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> FUA and city surfaces are calculated from FUA and city shapefiles, using GIS tools. Built-up data uses GHS built-up surface grids <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. Population counts are extracted from the <a href=https://data-explorer.oecd.org/vis?df[ds]=Design&df[id]=DSD_FUA_DEMO%40DF_AGE_SEX&df[ag]=OECD.CFE.EDS>Population by age and sex - FUAs and cities</a> dataset. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1e6">Population and built-up density - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,MEASURE=LAU_C DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Local administrative units - Cities and FUAs Collectivités locales - Villes et FUA <p align="justify">This dataset provides an indicator of the number of local administrative units (LAUs) in FUAs and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Local administrative units (LAUs) are mapped to FUAs and cities using GIS techniques. The correspondence table between LAUs and FUAs/cities is available following <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21612592-67a6-4718-baf5-23c7f832ffed>this link</a>.<br /><br /> Information on population is extracted from the <a href=https://data-explorer.oecd.org/vis?df[ds]=Design&df[id]=DSD_FUA_DEMO%40DF_AGE_SEX&df[ag]=OECD.CFE.EDS>Population by age and sex - FUAs and cities</a> dataset. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1e4">Local administrative units - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides an indicator of the number of local administrative units (LAUs) in FUAs and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Local administrative units (LAUs) are mapped to FUAs and cities using GIS techniques. The correspondence table between LAUs and FUAs/cities is available following <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21612592-67a6-4718-baf5-23c7f832ffed>this link</a>.<br /><br /> Information on population is extracted from the <a href=https://data-explorer.oecd.org/vis?df[ds]=Design&df[id]=DSD_FUA_DEMO%40DF_AGE_SEX&df[ag]=OECD.CFE.EDS>Population by age and sex - FUAs and cities</a> dataset. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1e4">Local administrative units - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS16F+AUS17F+AUS15F+AUS13F+AUS12F+AUS11F+AUS10F+AUS08F+AUS07F+AUS06F+AUS05F+AUS04F+AUS03F+AUS01F DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Access to public transport - FUAs Accès aux transports publics - FUA <p align="justify">This dataset provides an indicator of accessibility to public transport stops in Functional Urban Areas (FUAs). The indicator is defined as the share of the FUA population living within a specific walking travel time to the nearest public transport stop.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses: <ul> <li>public transport stops' location from General Transit Feed Specification (GTFS) data;</li> <li>OpenStreetMap (OSM) road network data;</li> <li>the <a href="https://github.com/conveyal/r5">R5 routing engine</a> and its r5py Python wrapper <a href="https://doi.org/10.5281/zenodo.7060438">(Fink, C., 2022)</a>; and</li> <li>the Global Human Settlement Layer's population grid for 2020 <a href="https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE">(Schiavina, M. et al., 2023)</a>.</li> </ul> A detailed description of the methodology and data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e26384-2fdc5c3ec1">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1db">Access to public transport - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides an indicator of accessibility to public transport stops in Functional Urban Areas (FUAs). The indicator is defined as the share of the FUA population living within a specific walking travel time to the nearest public transport stop.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses: <ul> <li>public transport stops' location from General Transit Feed Specification (GTFS) data;</li> <li>OpenStreetMap (OSM) road network data;</li> <li>the <a href="https://github.com/conveyal/r5">R5 routing engine</a> and its r5py Python wrapper <a href="https://doi.org/10.5281/zenodo.7060438">(Fink, C., 2022)</a>; and</li> <li>the Global Human Settlement Layer's population grid for 2020 <a href="https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE">(Schiavina, M. et al., 2023)</a>.</li> </ul> A detailed description of the methodology and data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e26384-2fdc5c3ec1">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1db">Access to public transport - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true SERVICE LAYOUT_COLUMN TRAVEL_TIME LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=BE001F+BE002F+BE003F+BE004F+BE005F+BE006F+BE007F+BE009F+BE010F+BE011F+BE012F+BE013F+BE014F+BE015F,TRAVEL_TIME=MN_LE15 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Access to services - FUAs Accès aux services - FUAs <p align="justify">This dataset provides an indicator of accessibility to essential services in Functional Urban Areas (FUAs). The indicator is defined as the share of the FUA population that lives within a specific walking travel time to at least one pharmacy, primary school, or childcare facility.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses: <ul> <li>service location data from national sources;</li> <li>OpenStreetMap (OSM) road network data;</li> <li>the <a href="https://github.com/conveyal/r5">R5 routing engine</a> and its r5py Python wrapper <a href="https://doi.org/10.5281/zenodo.7060438">(Fink, C., 2022)</a>; and</li> <li>the Global Human Settlement Layer's population grid for 2020 <a href="https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE">(Schiavina, M. et al., 2023)</a>.</li> </ul> A detailed description of the methodology and data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e26384-2fdc5c3ec1">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dc">Access to services - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides an indicator of accessibility to essential services in Functional Urban Areas (FUAs). The indicator is defined as the share of the FUA population that lives within a specific walking travel time to at least one pharmacy, primary school, or childcare facility.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses: <ul> <li>service location data from national sources;</li> <li>OpenStreetMap (OSM) road network data;</li> <li>the <a href="https://github.com/conveyal/r5">R5 routing engine</a> and its r5py Python wrapper <a href="https://doi.org/10.5281/zenodo.7060438">(Fink, C., 2022)</a>; and</li> <li>the Global Human Settlement Layer's population grid for 2020 <a href="https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE">(Schiavina, M. et al., 2023)</a>.</li> </ul> A detailed description of the methodology and data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e26384-2fdc5c3ec1">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dc">Access to services - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true TRAN_MODE LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED UNIT_MEASURE=PT_WR,REF_AREA=CAN01F+CAN02F+CAN03F+CAN04F+CAN05F+CAN06F+CAN07F+CAN08F+CAN09F+CAN10F+CAN11F+CAN12F+CAN13F+CAN14F+CAN15F+CAN16F+CAN17F+CAN18F+CAN19F+CAN20F+CAN21F+CAN22F+CAN23F+CAN24F+CAN25F+CAN26F DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Main mode of transport to work - FUAs Principal mode de transport pour se rendre au travail - FUAs <p align="justify">This dataset provides an indicator of the main mode of transport to work in Functional Urban Areas (FUAs). The indicator is defined as the share of people using a given mode to commute to work. Modes of transport include car, scooter, public transport (including company buses), bicycle, walking and other. The indicator excludes employed people working from home.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses data extracted from the <a href="https://ec.europa.eu/eurostat/databrowser/view/urb_ltran__custom_9023242/default/table?lang=en">Eurostat database</a> for European countries. For non-European countries, data is collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. A detailed description of the data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/sources-and-data-description_1e03fb78.html#title-bbc272424c">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dd">Main mode of transport to work - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides an indicator of the main mode of transport to work in Functional Urban Areas (FUAs). The indicator is defined as the share of people using a given mode to commute to work. Modes of transport include car, scooter, public transport (including company buses), bicycle, walking and other. The indicator excludes employed people working from home.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses data extracted from the <a href="https://ec.europa.eu/eurostat/databrowser/view/urb_ltran__custom_9023242/default/table?lang=en">Eurostat database</a> for European countries. For non-European countries, data is collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. A detailed description of the data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/sources-and-data-description_1e03fb78.html#title-bbc272424c">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dd">Main mode of transport to work - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href="https://regions-cities-atlas.oecd.org">OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=KOR01F+USA01F+USA02F+UK001F+FR001F+MEX01F+USA03F+USA04F+COL01F+CAN01F+ES001F+CL011F+DE006F+USA05F+DE001F+ES002F+IT002F+CAN02F+AUS01F+IT001F+DE002F+BE001F+PL001F+UK002F+SE001F+NL001F+DE003F+AT001F DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Transport performance - FUAs Performance des transports - FUAs <p align="justify">This dataset provides an indicator of public transport performance in Functional Urban Areas (FUAs). The indicator is defined as the ratio of accessibility, defined as the number of people reachable within 30 minutes by public transport to proximity, defined as the number of people in the area that could be reached in a 30-minute traffic-free car journey.</p> <h3>Data sources and methodology</h3> <p align="justify">The methodology follows the OECD-International Transport Forum/European Commission Urban Access Framework (UAF) <a href=https://doi.org/10.1787/4b1f722b-en>(ITF, 2019)</a>. The indicator uses: <ul> <li>General Transit Feed Specification (GTFS) data on travel times and stops;</li> <li>OpenStreetMap (OSM) road network data;</li> <li>the <a href=https://github.com/conveyal/r5>R5 routing engine</a> and its r5r R wrapper <a href=https://doi.org/10.32866/001c.21262>(Pereira et al., 2021)</a> and the Global Human Settlement Layer's population grid for 2020 <a href=https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE>(Schiavina, M. et al., 2023)</a>; and</li> <li>the Global Human Settlement Layer's population grid for 2020 <a href=https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE>(Schiavina, M. et al., 2023)</a>.</li> </ul> A detailed description of the methodology and data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e26205-2fdc5c3ec1">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1de>Transport performance - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href=mailto:RegionStat@oecd.org>RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href=https://regions-cities-atlas.oecd.org>OECD Regions and Cities Statistical Atlas</a> web-tool.</p> <p align="justify">This dataset provides an indicator of public transport performance in Functional Urban Areas (FUAs). The indicator is defined as the ratio of accessibility, defined as the number of people reachable within 30 minutes by public transport to proximity, defined as the number of people in the area that could be reached in a 30-minute traffic-free car journey.</p> <h3>Data sources and methodology</h3> <p align="justify">The methodology follows the OECD-International Transport Forum/European Commission Urban Access Framework (UAF) <a href=https://doi.org/10.1787/4b1f722b-en>(ITF, 2019)</a>. The indicator uses: <ul> <li>General Transit Feed Specification (GTFS) data on travel times and stops;</li> <li>OpenStreetMap (OSM) road network data;</li> <li>the <a href=https://github.com/conveyal/r5>R5 routing engine</a> and its r5r R wrapper <a href=https://doi.org/10.32866/001c.21262>(Pereira et al., 2021)</a> and the Global Human Settlement Layer's population grid for 2020 <a href=https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE>(Schiavina, M. et al., 2023)</a>; and</li> <li>the Global Human Settlement Layer's population grid for 2020 <a href=https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE>(Schiavina, M. et al., 2023)</a>.</li> </ul> A detailed description of the methodology and data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e26205-2fdc5c3ec1">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1de>Transport performance - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href=mailto:RegionStat@oecd.org>RegionStat@oecd.org</a><br /><br />FUA and City Statistics can be further explored with the interactive <a href=https://regions-cities-atlas.oecd.org>OECD Regions and Cities Statistical Atlas</a> web-tool.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,DD_DIM=_T,POLLUTANT=PM2_5 DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Exposure to air pollution - Local areas Exposition à la pollution de l'air - Zones locales <p>This dataset provides estimates on the exposure to air pollution in OECD Local Areas. </p> <p> Air pollution exposure is estimated using Plume Labs air pollution exposure grids for 3 air pollutants: nitrogen dioxide (NO2), fine particulate matters (PM2.5) and coarse particulate matters (PM10). The OECD obtained this dataset thanks to the Development Data Partnership, a collaboration between international organisations and technology companies, facilitating the efficient and responsible use of third-party data in international development. Average population exposure to air pollution is estimated at the local scale by computing the population-weighted average air pollutant concentration, using the Global Human Settlement Layer population grid (GHS-POP).</p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fce45f30-54a0-4847-9f7a-e1be9ef88c0d">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/methodology.html?indicator=NO2_POP_W_MEAN&topic=environment" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,DD_DIM=_T,MEASURE=AIR_TEMP2M DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Air temperature trends - Local areas Tendances de la température de l'air - Zones locales <p>This dataset provides air temperature trends in OECD Local Areas. </p> <p> Temperature trends are estimated using ERA5-Land data and correspond to the average annual air temperature at a height of 2 meters. Changes in air temperature (in °C) are calculated relative to the average air temperature over the period from 1981 to 2010. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=69f7c1f3-b0cf-4fdc-be9e-442e47da70fb">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/methodology.html?topic=climate&indicator=AIR_TEMP2M" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Coastal flooding - Local areas Inondations côtières - Zones locales <p>This dataset provides estimates on the share of population exposed to coastal flooding in OECD Local Areas. </p> <p> Population exposure to coastal flooding is assessed using a 100-year return period, which corresponds to the average duration between two flooding events of the same intensity. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=63d25327-49ea-47aa-8a8f-b05b0ef234d0">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/methodology.html?topic=climate&indicator=COASTAL_FLOOD_RP100_POP_SH" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,DD_DIM=_T,MEASURE=HDD DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Cooling and heating degree days - Local areas Degrés-jours de refroidissement et de chauffage - Zones locales <p> This dataset provides municipal and local area statistics on Cooling and Heating Degree Days (CDDs and HDDs)</p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <p> CDDs measure the intensity (in °C) and the length (in days) of cooling needs. Annual CDDs are the sum over a year of the differences between the daily mean outdoor air temperature and the threshold temperature (22°C). Similarly, HDDs measure heating needs, and correspond to the sum over a year of the differences between the threshold temperature and the daily mean outdoor air temperature when the outdoor temperature is below the threshold temperature (15°C). Cooling Degree Days are assessed based on ERA5-Land using the average annual air temperature at 2 meters height. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=731a697d-185a-4da3-8272-3efd8d0421f2">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/methodology.html?topic=energy&indicator=CDD_T_22C" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,UNIT_MEASURE,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Degree of urbanisation - Local areas <p>This dataset provides the degree of urbanisation in OECD Local Areas. </p> <p> The Degree of Urbanisation classification is an international framework to categorise areas based on population density, contiguity, and settlement size, offering a consistent approach to defining cities, towns, suburbs and rural areas. The dataset presents this classification at Level 1. It distinguishes between three broad types: cities, towns and semi-dense areas, and rural areas. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 count. </p> <b>The full dataset can be downloaded here: <a href="">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/?indicator=DEGURBA_L1&topic=ghsl" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,UNIT_MEASURE,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Population density - Local areas <p>This dataset provides population density values in OECD Local Areas. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 estimate. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d3c865d8-ace7-4e3e-83b0-8bd7e0380f84">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/?indicator=POP_DENS&topic=ghsl" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2020,DD_DIM=_T,SEX=_T,AGE=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,SEX,AGE,OBS_VALUE DRILLDOWN_CONCEPTS Population by age and sex - Local areas Population par âge et sexe - Zones locales <p>This dataset provides population counts by age and sex groups in OECD Local Areas. </p> <p>The population by age group is provided by sex for 3 age groups: younger than 14 years old, between 15 and 64 years old, and older than 65 years old.</p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 estimate. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a088d14a-3c21-470d-908b-4ea0741dd550">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/index.html?indicator=WORKAGE_SH&topic=demography" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> <p>Cet ensemble de données fournit des chiffres de population par tranche d'âge dans les zones locales de l'OCDE. </p> <p>La population par tranche d'âge est fournie par sexe pour 3 tranches d'âge : moins de 14 ans, entre 15 et 64 ans et plus de 65 ans.</p> <p style="color: #0965c1; font-weight: bold;"> Les données sont organisées au niveau territorial 2 (TL2). Pour visualiser les données au niveau de la Zone Locale, cliquez sur l'estimation TL2 correspondante. </p> <b>L'ensemble de données complet peut être téléchargé ici : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a088d14a-3c21-470d-908b-4ea0741dd550">Télécharger Microdonnées </a></b> <h3>Sources de données et méthodologie</h3> Consultez le <a href="https://localdatahub-pp.oecd.org/index.html?indicator=WORKAGE_SH&topic=demography" >Local Data Portal</a> pour plus d'informations. <h3>Plus d'informations</h3> Pour toute question ou commentaire, veuillez écrire à <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Green areas - Local areas Espaces verts - Zones locales <p>This dataset provides green areas estimates for OECD Local Areas. </p> <p>Green areas are defined as the sum of WorldCover land cover classes: trees, shrubland and grassland. The indicators displayed are the share of green areas (in % of the total area) and green areas per capita (in m2 per capita).</p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=406372e4-a2fe-42ae-b1f3-8a5b0b8ec64d">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/?indicator=GREEN_AREA_SHARE&topic=environment" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> <p>Cet ensemble de données fournit des estimations des zones vertes pour les zones locales de l'OCDE. </p> <p>Les zones vertes estimées sont définies comme la somme des classes de couverture terrestre WorldCover : arbres, arbustes et prairies. Les indicateurs affichés sont la part des espaces verts (en % de la superficie totale) et des espaces verts par habitant (en m2 par habitant)</p> <p style="color: #0965c1; font-weight: bold;"> Les données sont organisées au niveau territorial 2 (TL2). Pour visualiser les données au niveau de la Zone Locale, cliquez sur l'estimation TL2 correspondante. </p> <b>L'ensemble de données complet peut être téléchargé ici : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=406372e4-a2fe-42ae-b1f3-8a5b0b8ec64d">Télécharger Microdonnées </a></b> <h3>Sources de données et méthodologie</h3> Consultez le <a href="https://localdatahub-pp.oecd.org/index.html?indicator=WORKAGE_SH&topic=demography" >Local Data Portal</a> pour plus d'informations. <h3>Plus d'informations</h3> Pour toute question ou commentaire, veuillez écrire à <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Land Cover - Local areas Couverture terrestre - Zones locales <p>This dataset provides land cover estimates for OECD Local Areas. </p> <p>The land use and land cover indicators are based on the WorldCover dataset. The land cover classes available are: <ul> <li>Bare area</li> <li>Built-up area</li> <li>Inland water</li> <li>Natural and semi-natural vegetated land</li> <li>Agricultural area’ and ‘Wetland’</li> </ul></p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=56512f84-b55f-4e92-b7ff-e1c2822072ee">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/index.html?indicator=WORKAGE_SH&topic=demography" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> <p>Cet ejeu de données contient des estimations de la couverture terrestre pour les zones locales de l'OCDE. </p> <p>Les indicateurs d'utilisation et de couverture des terres sont basés sur l'ensemble de données WorldCover. Les classes de couverture terrestre disponibles sont : <ul> <li>Zone nue</li> <li>Zone bâtie</li> <li>Eaux intérieures</li> <li>Terrain végétalisé naturel et semi-naturel</li> <li>Zone agricole" et "Zone humide"</li> </ul></p> <p style="color: #0965c1; font-weight: bold;"> Les données sont organisées au niveau territorial 2 (TL2). Pour visualiser les données au niveau de la Zone Locale, cliquez sur l'estimation TL2 correspondante. </p> <b>L'ensemble de données complet peut être téléchargé ici : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=56512f84-b55f-4e92-b7ff-e1c2822072ee">Télécharger Microdonnées </a></b> <h3>Sources de données et méthodologie</h3> Consultez le <a href="https://localdatahub-pp.oecd.org/?indicator=MAIN_WORLDCOVER&topic=environment" >Local Data Portal</a> pour plus d'informations. <h3>Plus d'informations</h3> Pour toute question ou commentaire, veuillez écrire à <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT11+AT12+AT13+AT21+AT22+AT31+AT32+AT33+AT34+AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8,TIME_PERIOD_START=2023,DD_DIM=_T,MEASURE=HD DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Extreme temperatures - Local areas Températures extrêmes - Zones locales <p>This dataset provides extreme temperature trends, such as hot and icing days and tropical nights in OECD Local Areas. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <p> Hot days are defined as days during which the maximum temperature is higher than 35°C. Tropical nights refer to nights during which the minimum temperature is higher than 20°C. Icing days are defined as days during which the maximum temperature is lower than 0°C. Anomalies are calculated relative to the average air temperature over the period from 1981 to 2010. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=386fd368-c006-45db-aa7b-45e25f9a0354">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/methodology.html?topic=climate&indicator=HOT_DAYS" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Share of burned areas - Local areas Part des zones brûlées - Zones locales <p>This dataset provides estimates on the shared of burned areas in OECD Local Areas. </p> <p> Burned areas are identified using the Globfire Fire Perimeters dataset, derived from the MODIS MCD64A1 burned area data product. The data displays the share of area burned in the 5 years from the period 2019-2023. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/methodology.html?indicator=FIRE_TOTAL_AREA_SH" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,UNIT_MEASURE,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,MEASURE=SURFACE,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Land cover built up area - Local areas Couverture terrestre zone bâtie - Zones locales <p>This dataset provides land cover built up area estimates for OECD Local Areas. </p> <p>The land cover built up area indicators are based on the Global Human Settlement Layer (GHSL) dataset. The following classes of surface and volume are available: <ul> <li>Residential built-up</li> <li>Non-residential built-up</li> <li>Total built-up</li> </ul> </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=26074925-ed9e-46f5-bf83-f73a80d42c80">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/?indicator=BUILT_S__T&topic=ghsl" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> <p>Ce jeu de données fournit des estimations de l'occupation des sols sont basés pour les zones locales de l'OCDE. </p> <p>Les indicateurs de zones bâties de l'occupation des sols sont basés sur le jeu de données du Global Human Settlement Layer (GHSL). Les classes suivantes de surface et de volume sont disponibles : <ul> <li>Zone bâtie résidentielle</li> <li>Zone bâtie non résidentielle</li> <li>Total de la zone bâtie</li> </ul> </p> <p style="color: #0965c1; font-weight: bold;"> Les données sont organisées au Niveau Territorial 2 (TL2). Pour visualiser les données au niveau des zones locales, cliquez sur l'indicateur TL2 correspondant. </p> <b>Le jeu de données complet peut être téléchargé ici : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=26074925-ed9e-46f5-bf83-f73a80d42c80">Télécharger les microdonnées</a></b> <h3>Sources des données et méthodologie</h3> Voir le <a href="https://localdatahub-pp.oecd.org/?indicator=BUILT_S__T&topic=ghsl">Portail de Données Locales</a> pour plus d'informations. <h3>Informations supplémentaires</h3> Pour toute question ou commentaire, veuillez écrire à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,UNIT_MEASURE,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,MEASURE=ELEC,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Energy used for heating in dwellings - Local areas <p>This dataset provides estimates on the energy used for heating in dwellings for OECD Local Areas. </p> <p>The energy sources used for heating in dwellings include electricity, natural gas, district heating, fuel oil, coal, biomass, and other sources. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=df1c8463-a5d5-49a2-8a5d-a5d923153f87">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/?indicator=MAIN_ENER_HEAT&topic=housing" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,SEX=_T,AGE=Y15T64,MEASURE=EMP_RATIO,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Employment by age group and sex - Local Areas Emploi par groupe d'âge et sexe - Zones locales <p>This dataset provides employment rates and number of employed people by age and sex for OECD Local Areas. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a97376ae-a556-42e5-8512-ba18f3f6b5a2">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/index.html?indicator=WORKAGE_SH&topic=demography" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> <p>Ce jeu de données contient les taux d'emploi et le nombre de personnes occupées par âge et sexe pour les zones locales de l'OCDE. </p> <p style="color: #0965c1; font-weight: bold;"> Les données sont organisées au niveau territorial 2 (TL2). Pour visualiser les données au niveau de la Zone Locale, cliquez sur l'estimation TL2 correspondante. </p> <b>L'ensemble de données complet peut être téléchargé ici : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a97376ae-a556-42e5-8512-ba18f3f6b5a2">Télécharger Microdonnées </a></b> <h3>Sources de données et méthodologie</h3> Consultez le <a href="https://localdatahub-pp.oecd.org/?indicator=MAIN_WORLDCOVER&topic=environment" >Local Data Portal</a> pour plus d'informations. <h3>Plus d'informations</h3> Pour toute question ou commentaire, veuillez écrire à <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0,UNIT_MEASURE=MM NOT_DISPLAYED TIME_PERIOD_START=2022,DD_DIM=_T,MEASURE=PRECIP_SUM DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Precipitation - Local areas Précipitations - Zones locales <p>This dataset provides trends on total precipitation and extreme precipitation days in OECD Local Areas. </p> <p> Total precipitation is the sum of all liquid and frozen water—such as rain and snow—that reaches the Earth's surface each year. It excludes fog, dew, and any precipitation that evaporates before reaching the ground. Extreme precipitation days are defined as days with more than 20 mm of total precipitation. Changes in total precipitation and extreme precipitation days are reported relative to the 1981–2010 baseline average. All values are given in millimetres (mm). </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/methodology.html?topic=climate&indicator=PRECIP_SUM" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,DD_DIM=_T,UNIT_MEASURE=KM2 DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Protected areas - Local areas Aires protégées - Zones locales <p>This dataset provides estimates on the share and coverage of Protected Areas in OECD Local Areas. </p> <p> Protected areas are delineated using the World Database on Protected Areas - WDPA (UNEP-WCMC and IUCN, 2024), a comprehensive global database on terrestrial and marine protected areas. It is a joint project between UN Environment Programme and the International Union for Conservation of Nature (IUCN), and is managed by UN Environment Programme World Conservation Monitoring Centre (UNEPWCMC), in collaboration with governments, non-governmental organisations, academia and industry. Marine protected areas are excluded in the dataset.</p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d9aad517-be11-4115-8980-8f292db6dcc0">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/methodology.html?topic=environment&indicator=PROTECTED_AREA_SH" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS River flooding - Local areas Inondations fluviales - Zones locales <p>This dataset provides estimates on the share of population exposed to river flooding in OECD Local Areas. </p> <p> Population exposure to river flooding is assessed using a 100-year return period, which corresponds to the average duration between two flooding events of the same intensity. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dbddc178-9a8b-42ee-ba2c-3cec23ff4047">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/methodology.html?indicator=RIVER_FLOOD_RP100_POP_SH" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,DD_DIM=_T,MEASURE=HDD DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Soil moisture - Local areas Humidité du sol - Zones locales <p>This dataset provides soil moisture trends in OECD Local Areas. </p> <p> Soil moisture refers to the volume of water in the top soil layer (0 to 7 cm). This dataset provides annual soil moisture estimates in percentage points, along with changes in soil moisture. These soil moisture change estimates compares yearly data to the 1981-2010 reference period. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6ae348a8-be2a-4a9c-a923-2e9f09a7be43">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/methodology.html?indicator=SOIL_MOIST_L1_CH_1981_2010" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,MEASURE=COMMUT_PUBLIC_TRANSPORT,UNIT_MEASURE=PT_WR,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Main mode of transport to work - Local Areas Principal moyen de transport pour se rendre au travail - Zones locales <p>This dataset provides mode of transport to work estimates for OECD Local Areas. </p> <p>The main modes of transport used by workers for commuting to work are categorised into 5 types: car, scooter, public transport (including company buses), bicycle or walking. Workers working from home are excluded from this indicator.</p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fdbc4949-8839-4572-8bd6-2c15cde3843d">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/index.html?indicator=WORKAGE_SH&topic=demography" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> <p>Cet ensemble de données fournit des estimations du mode de transport pour se rendre au travail pour les zones locales de l'OCDE. </p> <p> Les principaux modes de transport utilisés par les travailleurs pour se rendre au travail sont classés en 5 types : voiture, scooter, transports en commun (y compris les bus d'entreprise), vélo ou marche. Les travailleurs travaillant à domicile sont exclus de cet indicateur.</p> <p style="color: #0965c1; font-weight: bold;"> Les données sont organisées au niveau territorial 2 (TL2). Pour visualiser les données au niveau de la Zone Locale, cliquez sur l'estimation TL2 correspondante. </p> <b>L'ensemble de données complet peut être téléchargé ici : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fdbc4949-8839-4572-8bd6-2c15cde3843d">Télécharger Microdonnées </a></b> <h3>Sources de données et méthodologie</h3> Consultez le <a href="https://localdatahub-pp.oecd.org/?indicator=MAIN_WORLDCOVER&topic=environment" >Local Data Portal</a> pour plus d'informations. <h3>Plus d'informations</h3> Pour toute question ou commentaire, veuillez écrire à <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION NOT_DISPLAYED MEASURE=HDD+CDD,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Cooling and heating degree days - Regions Degrés-jours de chauffage et de refroidissement - Régions <p style="text-align: justify;">This dataset provides subnational statistics on Cooling and Heating Degree Days (CDDs and HDDs), in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">CDDs measure the intensity (in &deg;C) and the length (in days) of cooling needs. More precisely, annual CDDs are the sum over a year of the differences between the daily mean outdoor air temperature and the threshold temperature (22&deg;C). Similarly, HDDs measure heating needs, and correspond to the sum over a year of the differences between the threshold temperature and the daily mean outdoor air temperature when the outdoor temperature is below the threshold temperature (15&deg;C). The source of the data is based on Global Land Data Acquisition System <a href="https://doi.pangaea.de/10.1594/PANGAEA.903123">(GLDAS)</a>, using a 0.25 degree resolution global gridded dataset of monthly and annual cooling and heating degree-days (1970-2018).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="&quot;https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques infranationales sur les Jours de Degré de Refroidissement et de Chauffage (CDD et HDD), dans les régions de grande taille (TL2) et de petite taille (TL3).</p> <p><strong>Définition des données et source</strong></p> <p style="text-align: justify;">Les CDD mesurent l'intensité (en &deg;C) et la durée (en jours) des besoins de refroidissement. Plus précisément, les CDD annuels sont la somme, sur une année, des différences entre la température moyenne quotidienne de l'air extérieur et la température seuil (22&deg;C). De manière similaire, les HDD mesurent les besoins de chauffage et correspondent à la somme, sur une année, des différences entre la température seuil et la température moyenne quotidienne de l'air extérieur lorsque la température extérieure est inférieure à la température seuil (15&deg;C). La source des données est basée sur le Global Land Data Acquisition System <a href="https://doi.pangaea.de/10.1594/PANGAEA.903123">(GLDAS)</a>, utilisant un jeu de données global en grille de résolution de 0,25 degré des Jours de Degré de Refroidissement et de Chauffage mensuels et annuels (1970-2018).</p> <p><strong>Définition des régions</strong></p><p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION NOT_DISPLAYED REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8 DEFAULT Climate hasard statistics - Regions Statistiques sur le changment climatique - Regions <p style="text-align: justify;">This dataset provides subnationaltional statistics on environment and climate, in small and large regions.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">This dataset provides subnationaltional statistics on environment and climate, in small and large regions.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION NOT_DISPLAYED MEASURE=FIRE_POP_EXP,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Wildfires - Regions Feux de forêts - Régions <p style="text-align: justify;">This dataset provides regional statistics on exposure to wildfires, in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">Exposure to wildfire indicators are derived from JRC's Global wildfire dataset for the analysis of fire regimes and fire behaviours.See the <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&amp;_csp_=355ee23bb469df35bc8b9adb40cbfd3d&amp;itemIGO=oecd&amp;itemContentType=book#section-d1e19157">methodology</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="&quot;https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques régionales sur l'exposition aux incendies de forêt, dans les régions de grande taille (TL2) et de petite taille (TL3).</p> <p><strong>Définition des données et source</strong></p> <p style="text-align: justify;">Les indicateurs d'exposition aux incendies de forêt sont dérivés du jeu de données mondial sur les incendies de forêt du JRC pour l'analyse des régimes d'incendie et des comportements d'incendie. Voir la <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&amp;_csp_=355ee23bb469df35bc8b9adb40cbfd3d&amp;itemIGO=oecd&amp;itemContentType=book#section-d1e19157">méthodologie</a>.</p> <p><strong>Définition des régions</strong></p><p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION NOT_DISPLAYED MEASURE=RF_AREA_EXP,CF_AREA_EXP,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée River and coastal flooding - Regions Inondations côtières et fluviales - Regions <p style="text-align: justify;">This dataset provides subnational statistics on exposure to coastal and river flooding, in TL2 and TL3 regions.&nbsp;</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">Exposure to flooding indicators are based on the extent of flood events of different return periods (10 to 100 years). A return period corresponds to the estimated time interval between floods of similar intensity. River flooding indicators are estimated using the River Flood Hazard Maps at European and Global Scales, see the <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&amp;_csp_=355ee23bb469df35bc8b9adb40cbfd3d&amp;itemIGO=oecd&amp;itemContentType=book#section-d1e19190">methodology</a>. Coastal flooding indicators are estimated using the Global coastal flood hazard maps <a>(Muis, S. et al., 2016)</a>. This dataset provides the extent of coastal floods for different return periods (10 to 100 years) with a 1-kilometre resolution. Built-up area exposure to coastal floods is computed by intersecting this map with Copernius annual land cover data (Copernicus Climate Change Service, Climate Data Store, 2019) and population exposure is computed using the Global Human Settlement Population layer (European Commission, GHSL Data Package 2023).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="&quot;https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques infranationales sur l'exposition aux inondations côtières et fluviales, dans les régions TL2 et TL3.&nbsp;</p> <p><strong>Définition des données et source</strong></p> <p style="text-align: justify;">Les indicateurs d'exposition aux inondations sont basés sur l'ampleur des événements d'inondation de différents intervalles de retour (10 à 100 ans). Un intervalle de retour correspond à l'intervalle de temps estimé entre les inondations de similarité d'intensité. Les indicateurs d'inondation fluviale sont estimés à l'aide des cartes de risque d'inondation fluviale à l'échelle européenne et mondiale, voir la <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&amp;_csp_=355ee23bb469df35bc8b9adb40cbfd3d&amp;itemIGO=oecd&amp;itemContentType=book#section-d1e19190">méthodologie</a>. Les indicateurs d'inondation côtière sont estimés à l'aide des cartes mondiales de risque d'inondation côtière <a>(Muis, S. et al., 2016)</a>. Ce jeu de données fournit l'étendue des inondations côtières pour différents intervalles de retour (10 à 100 ans) avec une résolution d'1 kilomètre. L'exposition des zones urbanisées aux inondations côtières est calculée en croisant cette carte avec les données annuelles de couverture terrestre Copernicus (Copernicus Climate Change Service, Climate Data Store, 2019) et l'exposition de la population est calculée en utilisant la couche de population des établissements humains mondiaux (Commission européenne, Ensemble de données GHSL 2023).</p> <p><strong>Définition des régions</strong></p><p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION NOT_DISPLAYED MEASURE=UTCI_POP_EXP,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Heat stress - Regions Exposition au stress thermique - Régions <p style="text-align: justify;">This dataset provides regional statistics on population exposure to heat stress, in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p>Heat stress is estimated using the Universal Thermal Comfort Index (UTCI). The UTCI enables to assess the impact of atmospheric conditions on the human body by considering air temperature, wind, radiation and humidity. UTCI values from 32&deg;C to 38&deg;C are considered as strong heat stress, from 38&deg;C to 46&deg;C as very strong heat stress, and above 46&deg;C as extreme heat stress. Population exposure to heat stress was computed using the hourly thermal comfort indices grids from the Copernicus Climate Data Store. See the <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&amp;_csp_=355ee23bb469df35bc8b9adb40cbfd3d&amp;itemIGO=oecd&amp;itemContentType=book#section-d1e19204">methodology</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="&quot;https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques régionales sur l'exposition de la population au stress thermique, dans les régions de grande taille (TL2) et de petite taille (TL3).</p> <p><strong>Définition des données et source</strong></p> <p>Le stress thermique est estimé en utilisant l'Indice Universel de Confort Thermique (UTCI). L'UTCI permet d'évaluer l'impact des conditions atmosphériques sur le corps humain en tenant compte de la température de l'air, du vent, du rayonnement et de l'humidité. Les valeurs d'UTCI de 32 °C à 38 °C sont considérées comme un fort stress thermique, de 38 °C à 46 °C comme un stress thermique très fort, et au-dessus de 46 °C comme un stress thermique extrême. L'exposition de la population au stress thermique a été calculée à l'aide des grilles horaires des indices de confort thermique de Copernicus Climate Data Store. Voir la <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&amp;_csp_=355ee23bb469df35bc8b9adb40cbfd3d&amp;itemIGO=oecd&amp;itemContentType=book#section-d1e19204">méthodologie</a>.</p> <p><strong>Définition des régions</strong></p><p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED SEX=_T,AGE=_T,MEASURE=POP+DEPEND_RATIO,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Deaths by by 5-year age groups - Regions Décès par tranche d'âge de 5 ans - Régions <p>This dataset provides regional satistics on deaths and mortality rates, in large regions (TL2) and small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Deaths by 5-year age group</strong> are reported according to the last place of residence of the deceased person.</li> <li><strong>Crude death rate</strong> is the number of deaths per 1 000 population.</li> <li><strong>Age-adjusted mortality rates</strong> eliminate the difference in mortality rates due to a population&rsquo;s age profile and are comparable across countries and regions. Age-adjusted mortality rates are calculd by applying the age-specific death rates of one region to the age distribution of a standard population. Here, the standard population is represented by the OECD area population in 2010, and the adjusted mortality rate is based on deaths in five-year age groups.</li> </ul> <p>Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p>When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de donn&eacute;es fournit des statistiques r&eacute;gionales sur les d&eacute;c&egrave;s et les taux de mortalit&eacute;, dans les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p><strong>D&eacute;finition des donn&eacute;es et source</strong></p> <ul> <li>Les<strong> d&eacute;c&egrave;s par tranche d'&acirc;ge quinquennale</strong> sont rapport&eacute;s en fonction du dernier lieu de r&eacute;sidence de la personne d&eacute;c&eacute;d&eacute;e.</li> <li>Le <strong>taux brut de mortalit&eacute;</strong> est le nombre de d&eacute;c&egrave;s pour 1 000 habitants.</li> <li style="text-align: justify;">Les<strong> taux de mortalit&eacute; ajust&eacute;s</strong> selon l'&acirc;ge sont calcul&eacute;s en appliquant les taux de mortalit&eacute; d'une population standard, ici repr&eacute;sent&eacute;e par la population de la zone de l'OCDE en 2010.</li> </ul> <p>Les donn&eacute;es sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_dem) pour les pays de l'UE et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par les d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et &agrave; partir des sites Web des instituts nationaux de statistique.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">L'OCDE classifie les r&eacute;gions (unit&eacute;s subnationales) &agrave; deux niveaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des donn&eacute;es sur les petites r&eacute;gions</strong></p> <p style="text-align: justify;">Lorsque les donn&eacute;es d&eacute;mographiques sont analys&eacute;es conjointement avec des donn&eacute;es &eacute;conomiques au niveau TL3, il est conseill&eacute; d'agr&eacute;g&eacute;rer les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Voir la liste des r&eacute;gions m&eacute;tropolitaines de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> et la m&eacute;thodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p>Les petites r&eacute;gions TL3 sont cat&eacute;goris&eacute;es en fonction de caract&eacute;ristiques communes en typologies r&eacute;gionales, avec des indicateurs agr&eacute;g&eacute;s au niveau national selon la typologie territoriale d'acc&egrave;s aux Villes <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et selon la typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et villes de l'OCDE</a></li> <li>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></li> </ul> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED SEX=_T,AGE=_T,MEASURE=POP+DEPEND_RATIO,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Demography statistics - Regions (for 'Developer API') Statistiques démographiques - Régions (pour 'dévelopeurs API') <p style="text-align: justify;">This dataset provides the whole set of OECD regional demographic data and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the &lsquo;Developer API query builder&rsquo;, click on the &lsquo;Developer API&rsquo; button above.</p> <p style="text-align: justify;">The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left.<br /><br />To get started check the&nbsp;<a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a></p> <p style="text-align: justify;"><strong>Indicators covered</strong></p> <p style="text-align: justify;">This dataset provides all data on regional demography: population and deaths by 5-year and aggregrated age groups, depdendency rates, mortality rates, fertility rates, population mobility within and across countries.</p> <p><strong>Data definition and sources</strong></p> <p style="text-align: justify;">Population data refer to the usual resident population on January 1st for EU countries, Iceland, Israel, Norway, Switzerland and T&uuml;rkiye. Mid-year population estimates for Australia, Canada, Chile, Colombia, Costa Rica, Korea, Mexico, New Zeland, United Kingdom and the United States. October 1st for Japan. Data are collected from Eurostat (reg_dem) for EU countries and from the delegates of the OECD Working Party on Territorial Indicators (WPTI) for OECD non-EU countries.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit l'ensemble des données démographiques régionales de l'OCDE et est recommandé pour les utilisateurs qui souhaitent interroger une grande quantité de données. Il n'est pas conçu pour visualiser les résultats en utilisant les boutons Tableau et Graphique. Pour accéder au &lsquo;Générateur de requêtes API pour développeur&rsquo;, cliquez sur le bouton &lsquo;API pour développeur&rsquo; ci-dessus.</p> <p style="text-align: justify;">L'interface de programmation d'application (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant des options d'en-tête URL et HTTP RESTful simples pour divers choix de formats de réponse, y compris JSON. Le filtre de requête est généré en fonction de la sélection de données actuelle. Pour modifier la sélection de données, utilisez les filtres à gauche.<br /><br />Pour commencer, consultez la&nbsp;<a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation API</a></p> <p style="text-align: justify;"><strong>Indicateurs couverts</strong></p> <p style="text-align: justify;">Ce jeu de données fournit toutes les données sur la démographie régionale : population et décès par groupes d'âge de 5 ans et groupes d'âge agrégés, taux de dépendance, taux de mortalité, taux de fécondité, mobilité de la population au sein et entre les pays.</p> <p><strong>Définition des données et sources</strong></p> <p style="text-align: justify;">Les données de population se réfèrent à la population résidente habituelle au 1er janvier pour les pays de l'UE, l'Islande, Israël, la Norvège, la Suisse et la Turquie. Estimations de la population en milieu d'année pour l'Australie, le Canada, le Chili, la Colombie, le Costa Rica, la Corée, le Mexique, la Nouvelle-Zélande, le Royaume-Uni et les États-Unis. 1er octobre pour le Japon. Les données sont collectées auprès d'Eurostat (reg_dem) pour les pays de l'UE et des délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (GTIT) pour les pays non membres de l'UE de l'OCDE.</p> <p><strong>Régions et niveaux territoriaux</strong></p> <p style="text-align: justify;">Les régions sont des unités infranationales situées en dessous des frontières nationales et correspondent à des divisions administratives définies de manière autonome par les pays selon différents critères. L'OCDE classe les régions en deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Cette classification facilite une plus grande comparabilité des unités géographiques au même niveau territorial.</p> <p>La liste et les cartes des régions sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des Régions et Villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <p>Les statistiques infranationales peuvent être explorées davantage avec :</p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des Régions et Villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorma des Régions et Villes de l'OCDE</a></li> </ul> <p>Contact: <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED UNIT_MEASURE=PS_KM2,TERRITORIAL_LEVEL=CTRY+TL2+TL3,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Population density - Regions Densité de population - Régions <p>This dataset provides regional data on population density and land areas, for large regions (TL2) and small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">Population density per land area excludes inland water bodies. This indicator measures the number of people residing in small TL3 and large TL2 regions per square kilometers. Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p style="text-align: justify;">When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de données fournit des données régionales sur la densité de population et les superficies, pour les grandes régions (TL2) et les petites régions (TL3).</p> <p><strong>Définition des données et source</strong></p> <p style=""text-align: justify;"">La densité de population par superficie exclut les étendues d'eau intérieures. Cet indicateur mesure le nombre de personnes résidant dans les petites régions TL3 et les grandes régions TL2 par kilomètre carré. Les données sur la population et les superficies sont collectées auprès d'Eurostat (reg_dem) pour les pays de l'UE, et complétées par des données recueillies par les délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et à partir des sites Web des instituts nationaux de statistique.</p> <p><strong>Définition des régions</strong></p> <p style=""text-align: justify;"">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href=""https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9"">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href=""&quot;https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1"">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des données sur les petites régions (TL3)</strong></p> <p style=""text-align: justify;"">Lorsque les données démographiques sont analysées en conjonction avec des données économiques au niveau TL3, il est conseillé d'agrégater les données au niveau de la région métropolitaine lorsque plusieurs régions TL3 sont associées à la même région métropolitaine. Les régions métropolitaines regroupent les régions TL3 lorsque 50 % ou plus de la population régionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions créées par les déplacements domicile-travail, voir la liste des régions métropolitaines de l'OCDE <a href=""&quot;https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1"">(xlsx)</a> et la méthodologie de l'UE <a href=""https://ec.europa.eu/eurostat/web/metropolitan-regions/background"">(lien)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p style=""text-align: justify;"">Les petites régions (TL3) sont catégorisées en fonction de caractéristiques communes en typologies régionales. Consultez les indicateurs démographiques agrégés au niveau national selon la typologie territoriale d'accès de la population aux aires urbaines fonctionnelles (<a href=""https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&df[ag]=OECD.CFE.EDS&df[vs]=1.0"">lien</a>) et selon la typologie urbaine-rurale (<a href=""https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&df[ag]=OECD.CFE.EDS&df[vs]=1.0"">lien</a>).&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE&nbsp;<a href=""http://oe.cd/geostats"">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href=""https://regions-cities-atlas.oecd.org/"">Atlas statistique des régions et villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href=""https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm"">Panorama des Régions et Villes de l'OCDE</a></li> </ul> <p>Contact :&nbsp;<a href=""mailto:RegionStat@oecd.org"">RegionStat@oecd.org</a></p>" NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,AGE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED TERRITORIAL_LEVEL=CTRY+2+3,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Dependency rates - Regions Taux de dépendance - Régions <p>This dataset provides regional data on dependency rates, for large regions (TL2) and small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">The dependency ratio is a demographic indicator that measures the ratio of dependents (typically defined as those too young or too old to work) to the working-age population. The most common age ranges used for the working-age population are 20-64 and 15-64. Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p style="text-align: justify;">When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p><p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de donn&eacute;es fournit des donn&eacute;es r&eacute;gionales sur les taux de d&eacute;pendance, pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p><strong>D&eacute;finition des donn&eacute;es et source</strong></p> <p>Le ratio de d&eacute;pendance est un indicateur d&eacute;mographique qui mesure le rapport entre les personnes d&eacute;pendantes (g&eacute;n&eacute;ralement d&eacute;finies comme celles trop jeunes ou trop &acirc;g&eacute;es pour travailler) et la population en &acirc;ge de travailler. Les tranches d'&acirc;ge les plus couramment utilis&eacute;es pour la population en &acirc;ge de travailler sont de 20 &agrave; 64 ans et de 15 &agrave; 64 ans. Les donn&eacute;es de population sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_dem) pour les pays de l'UE, et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par les d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et &agrave; partir des sites Web des instituts nationaux de statistique.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l'OCDE ont deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des donn&eacute;es sur les petites r&eacute;gions</strong></p> <p>Lorsque les donn&eacute;es d&eacute;mographiques sont analys&eacute;es conjointement avec des donn&eacute;es &eacute;conomiques en utilisant le niveau TL3, il est conseill&eacute; d'agr&eacute;g&eacute;rer les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine. Voir la liste des r&eacute;gions m&eacute;tropolitaines de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> et la m&eacute;thodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p>Les petites r&eacute;gions (TL3) sont cat&eacute;goris&eacute;es en fonction de caract&eacute;ristiques communes en typologies r&eacute;gionales. Consultez les indicateurs d&eacute;mographiques agr&eacute;g&eacute;s au niveau national selon la typologie territoriale d'acc&egrave;s de la population aux aires urbaines fonctionnelles <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et selon la typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des R&eacute;gions et Villes de l'OCDE</a></li> </ul> <p>Contact :&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true MEASURE,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN AGE,SEX,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Fertility - Regions Fécondité - Régions <p>This dataset provides regional statistics on births and fertility, in large regions (TL2) and small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <ul> <li style="text-align: justify;">Fertility rates: the total fertility rate in a specific year is defined as the total number of children that would be born to each woman if she were to live to the end of her child-bearing years and give birth to children in alignment with the prevailing age-specific fertility rates. It is calculated by totalling the age-specific fertility rates as defined over five-year intervals for women aged 15 to 49.</li> <li>Live births are registered at the usual place fo residence of the mother. Crude live birth rate is expressed for 1000 population.</li> <li>Child-to-woman ratio&nbsp;is the number of children aged 0 to 4 in over women aged 15 to 49.</li> </ul> <p>Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p>When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p><p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de donn&eacute;es fournit des statistiques r&eacute;gionales sur les naissances et la f&eacute;condit&eacute;, dans les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p><strong>D&eacute;finition des donn&eacute;es et source</strong></p> <ul> <li style="text-align: justify;"><strong>Taux de f&eacute;condit&eacute;</strong> : le taux de f&eacute;condit&eacute; total au cours d'une ann&eacute;e sp&eacute;cifique est d&eacute;fini comme le nombre total d'enfants qui na&icirc;traient &agrave; chaque femme si elle devait vivre jusqu'&agrave; la fin de ses ann&eacute;es de procr&eacute;ation et donner naissance &agrave; des enfants conform&eacute;ment aux taux de f&eacute;condit&eacute; sp&eacute;cifiques &agrave; chaque tranche d'&acirc;ge pr&eacute;valents. Il est calcul&eacute; en totalisant les taux de f&eacute;condit&eacute; sp&eacute;cifiques &agrave; chaque tranche d'&acirc;ge d&eacute;finis sur des intervalles de cinq ans pour les femmes &acirc;g&eacute;es de 15 &agrave; 49 ans.</li> <li><strong>Les naissances vivantes</strong> sont enregistr&eacute;es au lieu de r&eacute;sidence habituel de la m&egrave;re. Le taux brut de natalit&eacute; est exprim&eacute; pour 1000 habitants.</li> <li><strong>Le ratio enfant-femme</strong> est le nombre d'enfants de 0 &agrave; 4 ans par rapport aux femmes de 15 &agrave; 49 ans.</li> </ul> <p>Les donn&eacute;es sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_dem) pour les pays de l'UE et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par les d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et &agrave; partir des sites Web des instituts nationaux de statistique.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es dans les fronti&egrave;res nationales. L'OCDE classifie les r&eacute;gions &agrave; deux niveaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Typologies territoriales</strong></p> <p>Les petites r&eacute;gions TL3 sont cat&eacute;goris&eacute;es en fonction de caract&eacute;ristiques communes en typologies r&eacute;gionales, avec des indicateurs agr&eacute;g&eacute;s au niveau national selon la typologie territoriale d'acc&egrave;s aux Villes <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et selon la typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et villes de l'OCDE</a></li> <li>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></li> </ul> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED TERRITORIAL_LEVEL=CTRY+2+3,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Life expectancy - Regions Espérance de vie - Régions <p>This dataset provides regional data on on life expectancy at birth, for large regions (TL2) and small regions (TL3) when available.</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">Life expectancy at birth is defined as how long, on average, a newborn can expect to live, if current death rates do not change. However, the actual age-specific death rate of any particular birth cohort cannot be known in advance. If rates fall (or rise), actual life expectancy will be higher (or lower) than the life expectancy calculated on the basis of current mortality rates. Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p><p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de donn&eacute;es fournit des donn&eacute;es r&eacute;gionales sur l'esp&eacute;rance de vie &agrave; la naissance, pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3) lorsque disponibles.</p> <p><strong>D&eacute;finition des donn&eacute;es et source</strong></p> <p style="text-align: justify;">L'esp&eacute;rance de vie &agrave; la naissance est d&eacute;finie comme la dur&eacute;e moyenne qu'un nouveau-n&eacute; peut s'attendre &agrave; vivre, si les taux de mortalit&eacute; actuels ne changent pas. Cependant, le taux de mortalit&eacute; sp&eacute;cifique &agrave; chaque cohorte de naissance ne peut pas &ecirc;tre connu &agrave; l'avance. Si les taux baissent (ou augmentent), l'esp&eacute;rance de vie r&eacute;elle sera plus &eacute;lev&eacute;e (ou plus basse) que l'esp&eacute;rance de vie calcul&eacute;e sur la base des taux de mortalit&eacute; actuels. Les donn&eacute;es sur l'esp&eacute;rance de vie sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_dem) pour les grandes r&eacute;gions (TL2) des pays de l'UE, et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par les d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et &agrave; partir des sites Web des instituts nationaux de statistique.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l'OCDE ont deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Typologies territoriales</strong></p> <p style=""text-align: justify;"">Les petites régions (TL3) sont catégorisées en fonction de caractéristiques communes en typologies régionales. Consultez les indicateurs démographiques agrégés au niveau national selon la typologie territoriale d'accès de la population aux aires urbaines fonctionnelles <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et selon la typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.&nbsp;</p><p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des R&eacute;gions et Villes de l'OCDE</a></li> </ul> <p>Contact :&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED TERRITORIAL_LEVEL=CTRY+TL2+TL3,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8++AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée International migration flows - Regions Flux de migration internationale - Régions <p style="text-align: justify;">This dataset provides regional statistics on annual international population migration flows to and from sub-national regions, for large regions (TL2) and small regions (TL3).</p> <p style="text-align: justify;"><strong>Data source</strong></p> <p style="text-align: justify;">Data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p style="text-align: justify;">When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p><p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Cet ensemble de donn&eacute;es fournit des statistiques sur les migrations internationales de la population, en provenance ou &agrave; destination des grandes r&eacute;gions (TL2) et des petites r&eacute;gions (TL3).</p> <p style="text-align: justify;"><strong>Source des donn&eacute;es</strong></p> <p style="text-align: justify;">Les donn&eacute;es sont collect&eacute;es par l'interm&eacute;diaire des d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et compl&eacute;t&eacute;es &agrave; partir des sites Web des instituts nationaux de statistique.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es dans les fronti&egrave;res nationales. L'OCDE classifie les r&eacute;gions &agrave; deux niveaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des donn&eacute;es sur les petites r&eacute;gions</strong></p> <p style="text-align: justify;">Lorsque les donn&eacute;es d&eacute;mographiques sont analys&eacute;es conjointement avec des donn&eacute;es &eacute;conomiques au niveau TL3, il est conseill&eacute; d'agr&eacute;g&eacute;rer les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Voir la liste des r&eacute;gions m&eacute;tropolitaines de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> et la m&eacute;thodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p>Les petites r&eacute;gions TL3 sont cat&eacute;goris&eacute;es en fonction de caract&eacute;ristiques communes en typologies r&eacute;gionales, avec des indicateurs agr&eacute;g&eacute;s au niveau national selon la typologie territoriale d'acc&egrave;s de la population aux aires urbaines fonctionnelles <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et selon la typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et villes de l'OCDE</a></li> <li>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></li> </ul> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED SEX=_T,AGE=_T,MEASURE=INMOB+OUTMOB+NETMOB,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Population mobility within the country - Regions Mobilité de la population à l'intérieur du pays - Régions <p style="text-align: justify;">This dataset provides regional mobility statistics of population within the same country, from or to subnational regions, for large regions (TL2) and small regions (TL3).</p> <p style="text-align: justify;"><strong>Data source</strong></p> <p style="text-align: justify;">Data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p style="text-align: justify;">When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p><p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de donn&eacute;es fournit des statistiques r&eacute;gionales sur la mobilit&eacute; de la population &agrave; l'int&eacute;rieur du m&ecirc;me pays, depuis ou vers des r&eacute;gions subnationales, pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p style="text-align: justify;"><strong>Source des donn&eacute;es</strong></p> <p style="text-align: justify;">Les donn&eacute;es sont collect&eacute;es par l'interm&eacute;diaire des d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et compl&eacute;t&eacute;es &agrave; partir des sites Web des instituts nationaux de statistique.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es dans les fronti&egrave;res nationales. L'OCDE classifie les r&eacute;gions &agrave; deux niveaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des donn&eacute;es sur les petites r&eacute;gions</strong></p> <p style="text-align: justify;">Lorsque les donn&eacute;es d&eacute;mographiques sont analys&eacute;es conjointement avec des donn&eacute;es &eacute;conomiques au niveau TL3, il est conseill&eacute; d'agr&eacute;g&eacute;rer les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Voir la liste des r&eacute;gions m&eacute;tropolitaines de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> et la m&eacute;thodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p>Les petites r&eacute;gions TL3 sont cat&eacute;goris&eacute;es en fonction de caract&eacute;ristiques communes en typologies r&eacute;gionales, avec des indicateurs agr&eacute;g&eacute;s au niveau national selon la typologie territoriale d'acc&egrave;s aux Villes <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et selon la typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et villes de l'OCDE</a></li> <li>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></li> </ul> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,AGE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED SEX=_T,AGE=_T,MEASURE=POP+DEPEND_RATIO,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Population by 5-year age groups - Regions Population par tranche d'âge de 5 ans - Régions <p style="text-align: justify;">This dataset provides regional population counts by sex and 5-year age groups, for large regions (TL2) and small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">Population data refer to the usual resident population on January 1st for EU countries, Iceland, Israel, Norway, Switzerland and T&uuml;rkiye. Mid-year population estimates for Australia, Canada, Chile, Colombia, Costa Rica, Korea, Mexico, New Zeland, United Kingdom and the United States. October 1st for Japan. Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p style="text-align: justify;">When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p><p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de donn&eacute;es fournit des d&eacute;nombrements de la population par sexe et par tranches d'&acirc;ge quinquennales, pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p><strong>D&eacute;finition des donn&eacute;es et sources</strong></p> <p style="text-align: justify;">Les donn&eacute;es de population se rapportent &agrave; la population r&eacute;sidente habituelle au 1er janvier pour les pays de l'UE, l'Islande, Isra&euml;l, la Norv&egrave;ge, la Suisse et la Turquie. Les estimations de la population &agrave; mi-ann&eacute;e pour l'Australie, le Canada, le Chili, la Colombie, le Costa Rica, la Cor&eacute;e, le Mexique, la Nouvelle-Z&eacute;lande, le Royaume-Uni et les &Eacute;tats-Unis. Au 1er octobre pour le Japon. Les donn&eacute;es sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_dem) pour les pays de l'UE et aupr&egrave;s des d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) pour les pays de l'OCDE hors UE.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es dans les fronti&egrave;res nationales. L'OCDE classifie les r&eacute;gions &agrave; deux niveaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des donn&eacute;es sur les petites r&eacute;gions</strong></p> <p style="text-align: justify;">Lorsque les donn&eacute;es d&eacute;mographiques sont analys&eacute;es conjointement avec des donn&eacute;es &eacute;conomiques au niveau TL3, il est conseill&eacute; d'agr&eacute;g&eacute;rer les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Voir la liste des r&eacute;gions m&eacute;tropolitaines de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> et la m&eacute;thodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p>Les petites r&eacute;gions TL3 sont cat&eacute;goris&eacute;es en fonction de caract&eacute;ristiques communes en typologies r&eacute;gionales, avec des indicateurs agr&eacute;g&eacute;s au niveau national selon la typologie territoriale d'acc&egrave;s aux Villes <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et selon la typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et villes de l'OCDE</a></li> <li>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></li> </ul> NonProductionDataflow true MEASURE,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,AGE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED SEX=_T,AGE=_T,MEASURE=POP,TERRITORIAL_LEVEL=CTRY+TL2+TL3,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Population by broad age groups - Regions Population par grands groupes d'âge - Régions <p style="text-align: justify;">This dataset provides regional population counts by broad age groups (0-14,15-64, 65 and older),&nbsp;for large regions (TL2) and small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">Population data refer to the usual resident population on January 1st for EU countries, Iceland, Israel, Norway, Switzerland and T&uuml;rkiye. Mid-year population estimates for Australia, Canada, Chile, Colombia, Costa Rica, Korea, Mexico, New Zeland, United Kingdom and the United States. October 1st for Japan. Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p style="text-align: justify;">When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p><p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de donn&eacute;es fournit des donn&eacute;es r&eacute;gionales sur le nombre de la population par groupes d'&acirc;ge larges (0-14, 15-64, 65 ans et plus), pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p><strong>D&eacute;finition des donn&eacute;es et source</strong></p> <p style="text-align: justify;">Les donn&eacute;es de population se rapportent &agrave; la population r&eacute;sidente habituelle au 1er janvier, sauf&nbsp;pour l'Australie, le Canada, le Chili, la Colombie, le Costa Rica, la Cor&eacute;e, le Mexique, la Nouvelle-Z&eacute;lande, le Royaume-Uni et les &Eacute;tats-Unis (mi-ann&eacute;e), et le Japon (1er octobre). Les donn&eacute;es sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_dem) pour les pays de l'UE et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par les d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et &agrave; partir des sites Web des instituts nationaux de statistique.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es dans les fronti&egrave;res nationales. L'OCDE classifie les r&eacute;gions &agrave; deux niveaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des donn&eacute;es sur les petites r&eacute;gions</strong></p> <p style="text-align: justify;">Lorsque les donn&eacute;es d&eacute;mographiques sont analys&eacute;es conjointement avec des donn&eacute;es &eacute;conomiques au niveau TL3, il est conseill&eacute; d'agr&eacute;g&eacute;rer les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Voir la liste des r&eacute;gions m&eacute;tropolitaines de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> et la m&eacute;thodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p>Les petites r&eacute;gions TL3 sont cat&eacute;goris&eacute;es en fonction de caract&eacute;ristiques communes en typologies r&eacute;gionales, avec des indicateurs agr&eacute;g&eacute;s au niveau national selon la typologie territoriale d'acc&egrave;s aux Villes <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et selon la typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et villes de l'OCDE</a></li> <li>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></li> NonProductionDataflow true TERRITORIAL_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,TERRITORIAL_LEVEL,MEASURE,UNIT_MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED SEX=_T,AGE=_T,MEASURE=POP,UNIT_MEASURE=PT_POP DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_TERRITORIAL_TYPE:TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_TERRITORIAL_TYPE:Territorial typology;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_TERRITORIAL_TYPE:Typologie territoriale;COMBINED_UNIT_MEASURE:Unité de mesure combinée Demographic indicators by access to city typology Indicateurs démographiques par typologie d'accès à la ville <p>This data set provides demographic indicators aggregated at national level and broken down by territorial typology according to the population's access to cities.</p> <p><strong>Data source and definition</strong></p> <p>The data by typology includes share of population, dependency rates, fertility and mortality rates, population mobility within and outside countries. Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p>The indicators are aggregated data at the national level, using the typology of small (TL3) regions to calculate totals or averages for all metropolitan large regions, metropolitan midsize regions, near a midsize/large FUA regions, near a small FUA regions and remote regions.</p> <p><strong> Territorial typology on population's access to cities</strong></p> <p style="text-align: justify;">Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region.&nbsp;The OECD territorial typology on access to cities uses the concept of functional urban areas (FUA) &ndash; composed of urban centres and their commuting areas &ndash; and classifies small (TL3) regions (<a>Fadic et al., 2019</a>) according to the following criteria:</p> <ul> <li>Metropolitan regions, if more than half of the population live in a FUA. Metropolitan regions are further classified into: <em><strong>metropolitan large</strong></em>, if more than half of the population live in a (large) FUA of at least 1.5 million inhabitants; and <em><strong>metropolitan midsize</strong></em>, if more than half of the population live in a (midsize) FUA of at 250 000 to 1.5 million inhabitants.</li> <li>Non-metropolitan regions, if less than half of the population live in a midsize/large FUA. These regions are further classified according to their level of access to FUAs of different sizes: <em><strong>near a midsize/large FUA</strong></em> if more than half of the population live within a 60-minute drive from a midsize/large FUA (of more than 250 000 inhabitants) or if the TL3 region contains more than 80% of the area of a midsize/large FUA; <em><strong>near a small FUA</strong></em> if the region does not have access to a midsize/large FUA and at least half of its population have access to a small FUA (i.e. between 50 000 and 250 000 inhabitants) within a 60-minute drive, or contains 80% of the area of a small FUA; and <em><strong>remote</strong></em>, otherwise.</li> </ul> <p>List of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a>(xlsx)</a>. Maps of OECD regions are presented in the OECD Territorial grid <a>(pdf)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a>http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a>OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a>OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a>RegionStat@oecd.org</a></p> <p>Ce jeu de donn&eacute;es fournit des indicateurs d&eacute;mographiques agr&eacute;g&eacute;s au niveau national et d&eacute;taill&eacute;s par typologie territoriale selon l'acc&egrave;s à la ville.</p> <p style="text-align: justify;"><strong>Source des donn&eacute;es et d&eacute;finition</strong></p> <p style="text-align: justify;">Les donn&eacute;es d&eacute;mographiques par typologie comprennent la part de la population, les taux de d&eacute;pendance, les taux de f&eacute;condit&eacute; et de mortalit&eacute;, la mobilit&eacute; de la population &agrave; l'int&eacute;rieur et &agrave; l'ext&eacute;rieur des pays.&nbsp;Les donn&eacute;es des petites r&eacute;gions TL3 sont agr&eacute;g&eacute;es au niveau national selon la typologie d'acc&egrave;s de la population aux aires urbaines fonctionnelles</p> <p><strong>Typologie territoriale selon l'acc&egrave;s de la population aux aires urbaines fonctionnelles</strong></p> <p>Les typologies territoriales aident &agrave; &eacute;valuer les diff&eacute;rences dans les tendances socio-&eacute;conomiques dans les r&eacute;gions, &agrave; la fois au sein et entre les pays, et &agrave; mettre en &eacute;vidence les probl&egrave;mes sp&eacute;cifiques rencontr&eacute;s par chaque type de r&eacute;gion.</p> <p>La typologie territoriale de l'OCDE sur l'acc&egrave;s aux zones urbaines fonctionnelles utilise le concept de aires urbaines fonctionnelles et classe les petites r&eacute;gions (TL3) (<a href="https://doi.org/10.1787/b902cc00-en">Fadic et al., 2019</a>) selon les crit&egrave;res suivants :</p> <ul> <li>R&eacute;gions m&eacute;tropolitaines, si plus de la moiti&eacute; de la population vit dans une FUA. Les r&eacute;gions m&eacute;tropolitaines sont ensuite class&eacute;es en : <em><strong>m&eacute;tropolitaines de grande taille</strong></em>, si plus de la moiti&eacute; de la population vit dans une FUA d'au moins 1,5 million d'habitants ; et <em><strong>m&eacute;tropolitaines de taille moyenne</strong></em>, si plus de la moiti&eacute; de la population vit dans une FUA de 250 000 &agrave; 1,5 million d'habitants.</li> <li>R&eacute;gions non m&eacute;tropolitaines: <em><strong>pr&egrave;s d'une FUA de taille moyenne/grande</strong></em> si plus de la moiti&eacute; de la population vit &agrave; moins de 60 minutes en voiture d'une FUA de plus de 250 000 habitants ou si la r&eacute;gion TL3 contient plus de 80% de la superficie d'une FUA de taille moyenne/grande ; <em><strong>pr&egrave;s d'une petite FUA</strong></em> si la r&eacute;gion n'a pas acc&egrave;s &agrave; une FUA de taille moyenne/grande et que plus de la moiti&eacute; de sa population a acc&egrave;s &agrave; une FUA entre 50 000 et 250 000 habitants &agrave; moins de 60 minutes en voiture, ou si elle contient 80% de la superficie d'une petite FUA ; et <em><strong>&eacute;loign&eacute;es</strong></em>, sinon.</li> </ul> <p>La liste des r&eacute;gions de l'OCDE et les typologies sont pr&eacute;sent&eacute;es dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>. Les cartes des r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></li> </ul> NonProductionDataflow true TERRITORIAL_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,TERRITORIAL_LEVEL,MEASURE,UNIT_MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED SEX=_T,AGE=_T,MEASURE=POP,UNIT_MEASURE=PT_POP DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_TERRITORIAL_TYPE:TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_TERRITORIAL_TYPE:Territorial typology;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_TERRITORIAL_TYPE:Typologie territoriale;COMBINED_UNIT_MEASURE:Unité de mesure combinée Demographic indicators by urban-rural typology Indicateurs démographiques par typologie urbain-rurale <p>This dataset provides demographic indicators aggregated at national level and broken down by regional urban-rural typology.</p> <p style="text-align: justify;"><strong>Data source and definition</strong></p> <p style="text-align: justify;">The data by typology includes share of population, dependency rates, fertility and mortality rates, population mobility within and outside countries. Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p style="text-align: justify;">The indicators are aggregated data within a country based on the typology of small (TL3) regions to calculate a total or average for all predominantly rural regions, intermediate regions or predominantly urban regions.</p> <p style="text-align: justify;"><strong> Territorial typology based on urban-rural population</strong></p> <p style="text-align: justify;">Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region.&nbsp;Traditionally the OECD has classified small (TL3) regions as predominantly urban, intermediate, or predominantly rural regions. Predominantly rural regions can be further broken down as 'Close to city' and 'Remote', see the methodology <a href="https://www.oecd.org/cfe/regionaldevelopment/OECD_regional_typology_Nov2012.pdf">(pdf)</a>. This typology remains of interest for users, although the Access to City typology is now the one used by OECD analysts.</p> <p style="text-align: justify;">List of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>. Maps of OECD regions are presented in the OECD Territorial grid&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p style="text-align: justify;"><strong>Cite this dataset</strong></p> <p style="text-align: justify;">OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p style="text-align: justify;"><strong>Further information</strong></p> <ul style="text-align: justify;"> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p style="text-align: justify;">Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de donn&eacute;es fournit des indicateurs d&eacute;mographiques agr&eacute;g&eacute;s au niveau national et d&eacute;taill&eacute;s par typologie territoriale urbaine-rurale.</p> <p style="text-align: justify;"><strong>Source des donn&eacute;es et d&eacute;finition</strong></p> <p style="text-align: justify;">Les donn&eacute;es par typologie comprennent la part de la population, les taux de d&eacute;pendance, les taux de f&eacute;condit&eacute; et de mortalit&eacute;, la mobilit&eacute; de la population &agrave; l'int&eacute;rieur et &agrave; l'ext&eacute;rieur des pays. Les donn&eacute;es sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_dem) pour les pays de l'UE et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par les d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et &agrave; partir des sites Web des instituts nationaux de statistique.</p> <p style="text-align: justify;">Les indicateurs sont des donn&eacute;es agr&eacute;g&eacute;es au sein d'un pays en fonction de la typologie des petites r&eacute;gions (TL3) pour calculer un total ou une moyenne pour l'ensemble des r&eacute;gions principalement rurales, des r&eacute;gions interm&eacute;diaires ou des r&eacute;gions principalement urbaines.</p> <p style="text-align: justify;"><strong>Typologie territoriale bas&eacute;e sur la population urbaine-rurale</strong></p> <p>Les typologies territoriales aident &agrave; &eacute;valuer les diff&eacute;rences dans les tendances socio-&eacute;conomiques dans les r&eacute;gions, &agrave; la fois au sein et entre les pays, et &agrave; mettre en &eacute;vidence les probl&egrave;mes sp&eacute;cifiques rencontr&eacute;s par chaque type de r&eacute;gion.</p> <p style="text-align: justify;">Traditionnellement, l'OCDE a class&eacute; les petites r&eacute;gions (TL3) comme des r&eacute;gions principalement urbaines, interm&eacute;diaires ou principalement rurales. Les r&eacute;gions principalement rurales peuvent &ecirc;tre subdivis&eacute;es en 'Proches de la ville' et '&Eacute;loign&eacute;es', voir la m&eacute;thodologie <a href="https://www.oecd.org/cfe/regionaldevelopment/OECD_regional_typology_Nov2012.pdf">(pdf)</a>. Cette typologie reste d'int&eacute;r&ecirc;t pour les utilisateurs, bien que la typologie territoriale selon l'Accès a la Ville soit d&eacute;sormais pr&eacute;f&eacute;r&eacute;e par les analystes territoriaux de l'OCDE.</p> <p style="text-align: justify;">La liste des r&eacute;gions de l'OCDE et les typologies sont pr&eacute;sent&eacute;es dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>. Les cartes des r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p style="text-align: justify;"><strong>Citer ce jeu de donn&eacute;es</strong></p> <p style="text-align: justify;">Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p style="text-align: justify;"><strong>Informations suppl&eacute;mentaires</strong></p> <ul style="text-align: justify;"> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et des villes de l'OCDE</a></li> </ul> <p style="text-align: justify;">Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z NOT_DISPLAYED MEASURE=GDP,UNIT_MEASURE=USD_PPP_PS+USD_PPP,PRICE=Q,'REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_REF_AREA:Zone géographique combinée Economic statistics - Regions (for 'Developer API') Statistiques économiques - Régions (pour 'dévelopeurs API') <p style="text-align: justify;">This dataset provides statistics on gross domestic product and gross domestic product per capita, for large regions (TL2) and small regions (TL3).</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">This dataset provides statistics on gross domestic product and gross domestic product per capita, by region.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=EMP,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Employment by main economic activity - Regions Emploi selon l'activité économique - Régions <p>This dataset provides statistics on employment by 10 broad activities and labour utlisation, for large regions (TL2) and small regions (TL3).</p> <p><strong>Data source and definition</strong></p> <p style="text-align: justify;">Employment data is collected from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. Employment is measured at place of work. Labour utilisation is measured by the number of employment at place of work per capita, for total activity.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.&nbsp;</p> <p style="text-align: justify;">Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&df[ag]=OECD.CFE.EDS&df[vs]=1.0">link</a>) and by urban-rural typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&df[id]=DSD_REG_ECO%40DF_REGION_TYPE_RURB&df[ag]=OECD.CFE.EDS&df[vs]=1.0">link</a>).&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de données fournit des statistiques sur l'emploi par 10 grandes activités et l'utilisation de la main-d'œuvre, pour les grandes régions (TL2) et les petites régions (TL3).</p> <p><strong>Source de données et définition</strong></p> <p style="text-align: justify;">Les données sur l'emploi sont collectées auprès d'Eurostat (reg_eco10) pour les pays de l'UE et complétées par des données recueillies par les délégués du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et auprès des sites Web des offices statistiques nationaux. L'emploi est mesuré sur le lieu de travail. L'utilisation de la main-d'œuvre est mesurée par le nombre d'emplois sur le lieu de travail par habitant, pour l'activité totale.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des données économiques sur les petites régions (TL3)</strong></p> <p style="text-align: justify;">Lorsque des analyses économiques sont effectuées au niveau TL3, il est conseillé d'agrégater les données au niveau de la région métropolitaine lorsque plusieurs régions TL3 sont associées à la même région métropolitaine. Les régions métropolitaines regroupent les régions TL3 lorsque 50 % ou plus de la population régionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions créées par les déplacements domicile-travail, voir la liste des régions métropolitaines de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> et la méthodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.&nbsp;</p> <p style="text-align: justify;">Les petites régions sont également catégorisées en fonction de caractéristiques communes en typologies régionales agrégées au niveau du pays. Consultez les ensembles de données économiques par typologie territoriale sur l'accès aux zones urbaines fonctionnelles (<a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ;df[id]=DSD_REG_ECO%40DF_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">lien</a>) et par typologie rurale/urbaine (<a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ;df[id]=DSD_REG_ECO%40DF_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">lien</a>).&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données de l'OCDE sur les régions et les villes&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <ul> <li>L'outil Web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=GDP,UNIT_MEASURE=USD_PPP_PS,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Gross domestic product - Regions Produit intérieur brut - Régions <p>This dataset provides statistics on gross domestic product and gross domestic product per capita, for large regions (TL2) and small regions (TL3).</p> <p><strong>Data source and definition</strong></p> <p style="text-align: justify;">Regional gross domestic product data is collected at current prices, in millions of national currency from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, data in current prices are transformed into constant prices and PPP measures (<a href="https://data.oecd.org/conversion/purchasing-power-parities-ppp.htm">link</a>). Regional GDP per capita is calculated by dividing the regional GDP by the average annual population of the region.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.&nbsp;</p> <p style="text-align: justify;">Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&df[ag]=OECD.CFE.EDS&df[vs]=1.0">link</a>) and by urban-rural typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&df[id]=DSD_REG_ECO%40DF_REGION_TYPE_RURB&df[ag]=OECD.CFE.EDS&df[vs]=1.0">link</a>).&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de donn&eacute;es fournit des statistiques sur le produit int&eacute;rieur brut (PIB) et le PIB par habitant pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p><strong>Source de donn&eacute;es et d&eacute;finition</strong></p> <p>Les donn&eacute;es sur le produit int&eacute;rieur brut r&eacute;gional sont collect&eacute;es &agrave; des niveaux, &agrave; des prix courants, en millions de monnaie nationale &agrave; partir d'Eurostat (reg_eco10) pour les pays de l'Union europ&eacute;enne, et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par des d&eacute;l&eacute;gu&eacute;s du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux.</p> <p>Afin de permettre la comparabilit&eacute; dans le temps et entre les pays, les donn&eacute;es &agrave; prix courants sont transform&eacute;es en prix constants et en mesures de parit&eacute; de pouvoir d'achat (<a href="https://data.oecd.org/conversion/purchasing-power-parities-ppp.htm">lien</a>). Le PIB par habitant r&eacute;gional est calcul&eacute; en divisant le PIB r&eacute;gional par la population annuelle moyenne de la r&eacute;gion.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l'OCDE ont deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Utilisation des donn&eacute;es &eacute;conomiques sur les petites r&eacute;gions (TL3)</strong></p> <p>Lorsque des analyses &eacute;conomiques sont effectu&eacute;es au niveau TL3, il est conseill&eacute; d'agr&eacute;gater les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Les r&eacute;gions m&eacute;tropolitaines regroupent les r&eacute;gions TL3 lorsque 50% ou plus de la population r&eacute;gionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions cr&eacute;&eacute;es par les d&eacute;placements domicile-travail, voir la m&eacute;thodologie de l'UE appliqu&eacute;e aux r&eacute;gions TL3 de l'OCDE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil Web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=GVA,UNIT_MEASURE=USD_PPP,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Gross value added by main economic activity - Regions Valeur ajoutée par activité économique - Régions <p>This dataset provides statistics on gross value added by broad 10 activities, for large regions (TL2) and small regions (TL3).</p> <p><strong>Data source and definition</strong></p> <p style="text-align: justify;">Regional gross value added data is collected at current prices, in millions of national currency from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, data in current prices are transformed into constant prices and PPP measures (<a href="https://data.oecd.org/conversion/purchasing-power-parities-ppp.htm">link</a>).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.&nbsp;</p> <p style="text-align: justify;">Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&df[ag]=OECD.CFE.EDS&df[vs]=1.0">link</a>) and by urban-rural typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&df[id]=DSD_REG_ECO%40DF_REGION_TYPE_RURB&df[ag]=OECD.CFE.EDS&df[vs]=1.0">link</a>).&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de données fournit des statistiques sur la valeur ajoutée brute par 10 grandes activités, pour les grandes régions (TL2) et les petites régions (TL3).</p> <p><strong>Source de données et définition</strong></p> <p style="text-align: justify;">Les données sur la valeur ajoutée brute régionale sont collectées à des niveaux, à des prix courants, en millions de monnaie nationale à partir d'Eurostat (reg_eco10) pour les pays de l'Union européenne, et complétées par des données recueillies par des délégués du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux. Afin de permettre la comparabilité dans le temps et entre les pays, les données à prix courants sont transformées en prix constants et en mesures de parité de pouvoir d'achat (<a href="https://data.oecd.org/conversion/purchasing-power-parities-ppp.htm">lien</a>).</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des données économiques sur les petites régions (TL3)</strong></p> <p style="text-align: justify;">Lorsque des analyses économiques sont effectuées au niveau TL3, il est conseillé d'agrégater les données au niveau de la région métropolitaine lorsque plusieurs régions TL3 sont associées à la même région métropolitaine. Les régions métropolitaines regroupent les régions TL3 lorsque 50 % ou plus de la population régionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions créées par les déplacements domicile-travail, voir la liste des régions métropolitaines de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> et la méthodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.&nbsp;</p> <p style="text-align: justify;">Les petites régions sont également catégorisées en fonction de caractéristiques communes en typologies régionales agrégées au niveau du pays. Consultez les ensembles de données économiques par typologie territoriale sur l'accès aux zones urbaines fonctionnelles (<a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ;df[id]=DSD_REG_ECO%40DF_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">lien</a>) et par typologie rurale/urbaine (<a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ;df[id]=DSD_REG_ECO%40DF_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">lien</a>).&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données de l'OCDE sur les régions et les villes&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <ul> <li>L'outil Web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Regions and Cities at a glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=B6N,UNIT_MEASURE=USD_PPP_PS,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Income - Regions Revenu - Régions <p style="text-align: justify;">This dataset provides statistics on disposable income and primary income, for large regions (TL2) and small regions (TL3) when available.&nbsp;</p> <p><strong>Data source a</strong><strong>nd definition</strong></p> <p style="text-align: justify;">Income here is measured from the macro perspective produced by the regional accounts. Income data is collected from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, income in current prices are transformed into constant prices and PPP measures (<a href="https://data.oecd.org/conversion/purchasing-power-parities-ppp.htm">link</a>). For the income series, the deflator retained is the 'implicit national price index of households final consumption expenditure', which is the deflator used in SNA for the transaction P31S14.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.&nbsp;</p> <p style="text-align: justify;">Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&df[ag]=OECD.CFE.EDS&df[vs]=1.0">link</a>) and by urban-rural typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&df[id]=DSD_REG_ECO%40DF_REGION_TYPE_RURB&df[ag]=OECD.CFE.EDS&df[vs]=1.0">link</a>).&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de donn&eacute;es fournit des statistiques sur le revenu disponible et le revenu primaire, pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3) lorsque disponibles.</p> <p><strong>Source de donn&eacute;es et d&eacute;finition</strong></p> <p>Le revenu est mesur&eacute; ici du point de vue macro-&eacute;conomique produit par les comptes r&eacute;gionaux. Les donn&eacute;es sur le revenu sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_eco10) pour les pays de l'Union europ&eacute;enne, et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par des d&eacute;l&eacute;gu&eacute;s du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux. Afin de permettre la comparabilit&eacute; dans le temps et entre les pays, les donn&eacute;es de revenu &agrave; prix courants sont transform&eacute;es en prix constants et en mesures de parit&eacute; de pouvoir d'achat. Pour la s&eacute;rie de revenus, le d&eacute;flateur retenu est l'&laquo; indice implicite des prix nationaux de la consommation finale des m&eacute;nages &raquo;, qui est le d&eacute;flateur utilis&eacute; dans le SNA pour la transaction P31S14.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l'OCDE ont deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des donn&eacute;es &eacute;conomiques sur les petites r&eacute;gions (TL3)</strong></p> <p>Lorsque des analyses &eacute;conomiques sont effectu&eacute;es au niveau TL3, il est conseill&eacute; d'aggr&eacute;ger les donn&eacute;es lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Cette approche corrige les distorsions cr&eacute;&eacute;es par les d&eacute;placements domicile-travail, voir la liste des r&eacute;gions m&eacute;tropolitaines de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> et la m&eacute;thodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.&nbsp;</p> <p>Les petites r&eacute;gions sont &eacute;galement cat&eacute;goris&eacute;es selon des typologies territoriale agr&eacute;g&eacute;es au niveau du pays: par typologie territoriale sur l'acc&egrave;s aux zones urbaines fonctionnelles (<a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ;df[id]=DSD_REG_ECO%40DF_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">lien</a>) et par typologie rurale/urbaine (<a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ;df[id]=DSD_REG_ECO%40DF_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">lien</a>).&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil Web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=LAB_PROD,UNIT_MEASURE=USD_PPP_WR,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Labour productivity by main economic activity - Regions Productivité du travail par activité économique - Régions <p>This dataset provides statistics on labour productivity, for large regions (TL2) and small regions (TL3).</p> <p><strong>Data source and definition</strong></p> <p style="text-align: justify;">Labour productivity is measured as gross value added per employment at place of work by main economic activity. Regional gross value added and employment data are collected from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, labour productivity data in current prices are transformed into constant prices and PPP measures (<a href="https://data.oecd.org/conversion/purchasing-power-parities-ppp.htm">link</a>).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.&nbsp;</p> <p style="text-align: justify;">Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&df[ag]=OECD.CFE.EDS&df[vs]=1.0">link</a>) and by urban-rural typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&df[id]=DSD_REG_ECO%40DF_REGION_TYPE_RURB&df[ag]=OECD.CFE.EDS&df[vs]=1.0">link</a>).&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de données fournit des statistiques sur la productivité du travail, pour les grandes régions (TL2) et les petites régions (TL3).</p> <p><strong>Source de données et définition</strong></p> <p style="text-align: justify;">La productivité du travail est mesurée comme la valeur ajoutée brute par emploi sur le lieu de travail par grande activité économique. Les données régionales sur la valeur ajoutée brute et l'emploi sont collectées auprès d'Eurostat (reg_eco10) pour les pays de l'Union européenne, et complétées par des données recueillies par des délégués du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux. Afin de permettre la comparabilité dans le temps et entre les pays, les données de productivité du travail à prix courants sont transformées en prix constants et en mesures de parité de pouvoir d'achat (<a href="https://data.oecd.org/conversion/purchasing-power-parities-ppp.htm">lien</a>).</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des données économiques sur les petites régions (TL3)</strong></p> <p style="text-align: justify;">Lorsque des analyses économiques sont effectuées au niveau TL3, il est conseillé d'agrégater les données au niveau de la région métropolitaine lorsque plusieurs régions TL3 sont associées à la même région métropolitaine. Les régions métropolitaines regroupent les régions TL3 lorsque 50 % ou plus de la population régionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions créées par les déplacements domicile-travail, voir la liste des régions métropolitaines de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> et la méthodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.&nbsp;</p> <p style="text-align: justify;">Les petites régions sont également catégorisées en fonction de caractéristiques communes en typologies régionales agrégées au niveau du pays. Consultez les ensembles de données économiques par typologie territoriale sur l'accès aux zones urbaines fonctionnelles (<a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ;df[id]=DSD_REG_ECO%40DF_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">lien</a>) et par typologie rurale/urbaine (<a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ;df[id]=DSD_REG_ECO%40DF_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">lien</a>).&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données de l'OCDE sur les régions et les villes&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <ul> <li>L'outil Web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Regions and Cities at a glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,UNIT_MEASURE=XDC,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=X,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée International trade - Regions Commerce international - Régions <p style="text-align: justify;">This dataset provides statistics on international trade in goods, for large regions (TL2) and small regions (TL3).</p> <p><strong>Data source and definition</strong></p> <p style="text-align: justify;">Regional international trade in goods data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, trade data in current prices are transformed into constant prices and PPP measures (<a href="https://data.oecd.org/conversion/purchasing-power-parities-ppp.htm">link</a>) and expressed a share of the regional gross domestic product.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.&nbsp;</p> <p style="text-align: justify;">Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&df[ag]=OECD.CFE.EDS&df[vs]=1.0">link</a>) and by urban-rural typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&df[id]=DSD_REG_ECO%40DF_REGION_TYPE_RURB&df[ag]=OECD.CFE.EDS&df[vs]=1.0">link</a>).&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur le commerce international de biens, pour les grandes régions (TL2) et les petites régions (TL3).</p> <p><strong>Source de données et définition</strong></p> <p style="text-align: justify;">Les données régionales sur le commerce international de biens sont collectées par l'intermédiaire des délégués du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux. Afin de permettre la comparabilité dans le temps et entre les pays, les données commerciales à prix courants sont transformées en prix constants et en mesures de parité de pouvoir d'achat (<a href="https://data.oecd.org/conversion/purchasing-power-parities-ppp.htm">lien</a>) et exprimées en pourcentage du produit intérieur brut régional.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des données économiques sur les petites régions (TL3)</strong></p> <p style="text-align: justify;">Lorsque des analyses économiques sont effectuées au niveau TL3, il est conseillé d'agrégater les données au niveau de la région métropolitaine lorsque plusieurs régions TL3 sont associées à la même région métropolitaine. Les régions métropolitaines regroupent les régions TL3 lorsque 50 % ou plus de la population régionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions créées par les déplacements domicile-travail, voir la liste des régions métropolitaines de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> et la méthodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.&nbsp;</p> <p style="text-align: justify;">Les petites régions sont également catégorisées en fonction de caractéristiques communes en typologies régionales agrégées au niveau du pays. Consultez les ensembles de données économiques par typologie territoriale sur l'accès aux zones urbaines fonctionnelles (<a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ;df[id]=DSD_REG_ECO%40DF_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">lien</a>) et par typologie rurale/urbaine (<a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ;df[id]=DSD_REG_ECO%40DF_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">lien</a>).&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données de l'OCDE sur les régions et les villes&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <ul> <li>L'outil Web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true TERRITORIAL_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,TERRITORIAL_LEVEL,MEASURE,ACTIVITY,UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=GDP,UNIT_MEASURE=USD_PPP_PS,PRICES=Q,REF_AREA=AUT+BEL+CHE+CHL+COL+CZE+DEU+DNK+ESP+EST+FIN+FRA+GBR+GRC+HUN+IRL+ITA+JPN+KOR+LTU+LUX+LVA+NLD+NOR+NZL+POL+PRT+SVK+SVN+SWE+TUR+USA DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_TERRITORIAL_TYPE:TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_TERRITORIAL_TYPE:Territorial typology;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_TERRITORIAL_TYPE:Typologie territoriale;COMBINED_UNIT_MEASURE:Unité de mesure combinée Economic indicators by access to city typology Indicateurs économiques par typologie d'accès à la ville <p>This dataset provides economic indicators aggregated at national level and broken down by territorial typology according to the population's access to cities.</p> <p style="text-align: justify;"><strong>Data source and definition</strong></p> <p style="text-align: justify;">The indicators include GDP, GDP per capita, gross value added, employment at place of work and labour productivity by type of territory. Data is collected from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p>The indicators are aggregated data at the national level, using the typology of small (TL3) regions to calculate totals or averages for all metropolitan large regions, metropolitan midsize regions, near a midsize/large FUA regions, near a small FUA regions and remote regions.</p> <p><strong> Territorial typology on the population's access to cities</strong></p> <p>Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region.&nbsp;</p> <p>The OECD territorial typology on access to cities uses the concept of functional urban areas (FUA) &ndash; composed of urban centres and their commuting areas &ndash; and classifies small (TL3) regions (<a href="https://doi.org/10.1787/b902cc00-en">Fadic et al., 2019</a>) according to the following criteria:</p> <ul> <li>Metropolitan regions, if more than half of the population live in a FUA. Metropolitan regions are further classified into: <em><strong>metropolitan large</strong></em>, if more than half of the population live in a (large) FUA of at least 1.5 million inhabitants; and <em><strong>metropolitan midsize</strong></em>, if more than half of the population live in a (midsize) FUA of at 250 000 to 1.5 million inhabitants.</li> <li>Non-metropolitan regions, if less than half of the population live in a midsize/large FUA. These regions are further classified according to their level of access to FUAs of different sizes: <em><strong>near a midsize/large FUA</strong></em> if more than half of the population live within a 60-minute drive from a midsize/large FUA (of more than 250 000 inhabitants) or if the TL3 region contains more than 80% of the area of a midsize/large FUA; <em><strong>near a small FUA</strong></em> if the region does not have access to a midsize/large FUA and at least half of its population have access to a small FUA (i.e. between 50 000 and 250 000 inhabitants) within a 60-minute drive, or contains 80% of the area of a small FUA; and <em><strong>remote</strong></em>, otherwise.</li> </ul> <p>List of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>. Maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Cet ensemble de donn&eacute;es fournit des indicateurs &eacute;conomiques par typologie territoriale selon l'acc&egrave;s à la ville. Les indicateurs comprennent le PIB, le PIB par habitant, la valeur ajout&eacute;e brute, l'emploi sur le lieu de travail et la productivit&eacute; du travail.</p> <p><strong>Source des donn&eacute;es et d&eacute;finition</strong></p> <p style="text-align: justify;">Les donn&eacute;es sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_eco10) pour les pays de l'UE, et compl&eacute;t&eacute;es par des donn&eacute;es collect&eacute;es par les d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et &agrave; partir des sites Web des offices statistiques nationaux. Les indicateurs sont des donn&eacute;es agr&eacute;g&eacute;es bas&eacute;es sur la typologie des petites r&eacute;gions (TL3) pour calculer un total ou une moyenne par type de territoire.</p> <p><strong>Typologie territoriale selon l'acc&egrave;s aux aires urbaines fonctionnelles</strong></p> <p>La typologie territoriale de l'OCDE sur l'acc&egrave;s aux villes utilise le concept des aires urbaines fonctionnelles (FUA) et classe les petites r&eacute;gions (TL3) en r&eacute;gions m&eacute;tropolitaines et non m&eacute;tropolitaines (<a href="https://doi.org/10.1787/b902cc00-en">Fadic et al., 2019</a>) selon les crit&egrave;res suivants :</p> <ul> <li>R&eacute;gions m&eacute;tropolitaines, si plus de la moiti&eacute; de la population vit dans une FUA. Les r&eacute;gions m&eacute;tropolitaines sont ensuite class&eacute;es en : <em><strong>m&eacute;tropolitaines grandes</strong></em>, si plus de la moiti&eacute; de la population vit dans une FUA d'au moins 1,5 million d'habitants ; et <em><strong>m&eacute;tropolitaines de taille moyenne</strong></em>, si plus de la moiti&eacute; de la population vit dans une FUA de 250 000 &agrave; 1,5 million d'habitants.</li> <li>R&eacute;gions non m&eacute;tropolitaines class&eacute;es en fonction de leur niveau d'acc&egrave;s aux FUA de diff&eacute;rentes tailles : <em><strong>proches d'une FUA de taille moyenne/grande</strong></em> si plus de la moiti&eacute; de la population vit dans un rayon de 60 minutes d'une ZUF de taille moyenne/grande (de plus de 250 000 habitants) ou si la r&eacute;gion TL3 contient plus de 80% de la superficie d'une FUA de taille moyenne/grande ; <em><strong>proches d'une FUA de petite taille&nbsp;</strong></em>si la r&eacute;gion n'a pas acc&egrave;s &agrave; une FUA de taille moyenne/grande et que au moins la moiti&eacute; de sa population a acc&egrave;s &agrave; une FUA de petite taille (c'est-&agrave;-dire entre 50 000 et 250 000 habitants) dans un rayon de 60 minutes, ou contient 80% de la superficie d'une FUA de petite taille ; et <em><strong>&eacute;loign&eacute;es</strong></em>, sinon.</li> </ul> <p>Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le table de correspondance territoriale de l'OCDE <a href="&quot;https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Citer cet ensemble de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true TERRITORIAL_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,TERRITORIAL_LEVEL,MEASURE,ACTIVITY,UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=GDP,UNIT_MEASURE=USD_PPP_PS,PRICES=Q,REF_AREA=AUT+BEL+CHE+CHL+COL+CZE+DEU+DNK+ESP+EST+FIN+FRA+GBR+GRC+HUN+IRL+ITA+JPN+KOR+LTU+LUX+LVA+NLD+NOR+NZL+POL+PRT+SVK+SVN+SWE+TUR+USA DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_TERRITORIAL_TYPE:TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_TERRITORIAL_TYPE:Territorial typology;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_TERRITORIAL_TYPE:Typologie territoriale;COMBINED_UNIT_MEASURE:Unité de mesure combinée Economic indicators by urban-rural territorial typology Indicateurs économiques par typologie urbaine-rurale <p>This dataset provides economic indicators aggregated at national level and broken down by urban-rural territorial typology.</p> <p style="text-align: justify;"><strong>Data source and definition</strong></p> <p style="text-align: justify;">The indicators include GDP, GDP per capita, gross value added, employment at place of work and labour productivity by type of territory. Data is collected from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p style="text-align: justify;">The indicators are aggregated data within a country based on the typology of small (TL3) regions to calculate a total or average for all predominantly rural regions, intermediate regions or predominantly urban regions.</p> <p style="text-align: justify;"><strong> Territorial typology based on urban-rural population</strong></p> <p>Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region.&nbsp;</p> <p style="text-align: justify;">Traditionally the OECD has classified small (TL3) regions as predominantly urban, intermediate, or predominantly rural regions. Predominantly rural regions can be further broken down as 'Close to city' and 'Remote', see the methodology <a href="https://www.oecd.org/cfe/regionaldevelopment/OECD_regional_typology_Nov2012.pdf">(pdf)</a>. This typology remains of interest for users, although the Access to City typology is now the one used by OECD analysts.</p> <p style="text-align: justify;">List of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>. Maps of OECD regions are presented in the OECD Territorial grid&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p style="text-align: justify;"><strong>Cite this dataset</strong></p> <p style="text-align: justify;">OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p style="text-align: justify;"><strong>Further information</strong></p> <ul style="text-align: justify;"> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p style="text-align: justify;">Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Cet ensemble de donn&eacute;es fournit des indicateurs &eacute;conomiques selon la typologie territoriale rurale/urbaine. Les indicateurs comprennent le PIB, le PIB par habitant, la valeur ajout&eacute;e brute, l'emploi sur le lieu de travail et la productivit&eacute; du travail par type de territoire.</p> <p style="text-align: justify;"><strong>Source des donn&eacute;es et d&eacute;finition</strong></p> <p style="text-align: justify;">Les donn&eacute;es sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_eco10) pour les pays de l'UE, et compl&eacute;t&eacute;es par des donn&eacute;es collect&eacute;es par les d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et &agrave; partir des sites Web des offices statistiques nationaux.</p> <p style="text-align: justify;">Les indicateurs sont des donn&eacute;es agr&eacute;g&eacute;es au niveau d'un pays, bas&eacute;es sur la typologie des petites r&eacute;gions (TL3), afin de calculer un total ou une moyenne pour toutes les r&eacute;gions principalement rurales, les r&eacute;gions interm&eacute;diaires ou les r&eacute;gions principalement urbaines au sein d'un pays.</p> <p style="text-align: justify;"><strong>Typologie territoriale bas&eacute;e sur la population urbaine-rurale</strong></p> <p>Les typologies territoriales aident &agrave; &eacute;valuer les diff&eacute;rences dans les tendances socio-&eacute;conomiques dans les r&eacute;gions, &agrave; la fois au sein et entre les pays, et &agrave; mettre en &eacute;vidence les probl&egrave;mes sp&eacute;cifiques rencontr&eacute;s par chaque type de r&eacute;gion.&nbsp;</p> <p style="text-align: justify;">Traditionnellement, l'OCDE a class&eacute; les petites r&eacute;gions (TL3) en r&eacute;gions principalement urbaines, interm&eacute;diaires ou principalement rurales. Les r&eacute;gions principalement rurales peuvent &ecirc;tre d&eacute;compos&eacute;es davantage en 'Proches de la ville' et '&Eacute;loign&eacute;es', voir la m&eacute;thodologie <a href="https://www.oecd.org/cfe/regionaldevelopment/OECD_regional_typology_Nov2012.pdf">(pdf)</a>. Cette typologie reste d'int&eacute;r&ecirc;t pour les utilisateurs, bien que la typologie territoriale selon l'Accès a la Ville soit maintenant pr&eacute;f&eacute;r&eacute;e par les analystes de l'OCDE.</p> <p style="text-align: justify;">La liste des r&eacute;gions de l'OCDE et les typologies sont pr&eacute;sent&eacute;es dans le tableau de correspondance territoriale de l'OCDE <a href="&quot;https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>. Les cartes des r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p style="text-align: justify;"><strong>Citer cet ensemble de donn&eacute;es</strong></p> <p style="text-align: justify;">Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p style="text-align: justify;"><strong>Informations suppl&eacute;mentaires</strong></p> <ul style="text-align: justify;"> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Les r&eacute;gions et les villes de l'OCDE en un coup d'&oelig;il</a></li> </ul> <p style="text-align: justify;">Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z NOT_DISPLAYED MEASURE=GDP,UNIT_MEASURE=USD_PPP_PS+USD_PPP,PRICE=Q,'REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_REF_AREA:Zone géographique combinée Economic statistics ROPI-adjusted for inflation - Regions (for 'Developer API') Statistiques économiques corrigées de l'inflation avec déflateurs régionaux, ROPI - Régions (pour 'Developer API') <p style="text-align: justify;">This dataset provides economic statistics in real prices in regions - using regional output producer index (ROPI) when available - is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the &lsquo;Developer API query builder&rsquo;, click on the &lsquo;Developer API&rsquo; button above.</p> <p style="text-align: justify;">To get started check the&nbsp;<a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a></p> <p><strong>Dataflows covered</strong></p> <ul> <li>Real gross domestic product (ROPI-adjusted for inflation) - Regions</li> <li>Real gross value added by main economic activity (ROPI-adjusted for inflation) - Regions</li> <li>Real labour productivity by main economic activity (ROPI-adjusted for inflation) - Regions</li> </ul> <p>See method and detailed data sources in Regions and Cities at a Glance 2024, <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e21619-2fdc5c3ec1">Annex</a>.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Use of economic data on small regions</strong></p> <p>When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting. Correspondence between TL3 and metropolitan regions:<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p>Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>).&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org">Economic statistics ROPI-adjusted for inflation - Regions (for 'Developer API')</a>,&nbsp;<a href="\&quot;http://oe.cd/geostats\&quot;">http://oe.cd/geostats</a>.</p> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">This dataset provides economic statistics in constant prices in regions - using regional output producer index (ROPI) when available - is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the &lsquo;Developer API query builder&rsquo;, click on the &lsquo;Developer API&rsquo; button above.</p> <p style="text-align: justify;">To get started check the&nbsp;<a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a></p> <p><strong>Indicators covered</strong></p> <ul> <li>Real gross domestic product (ROPI-adjusted for inflation) - Regions</li> <li>Real gross value added by main economic activity (ROPI-adjusted for inflation) - Regions</li> <li>Real labour productivity by main economic activity (ROPI-adjusted for inflation) - Regions</li> </ul> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org">Society statistics - Regions</a>),&nbsp;<a href="\&quot;http://oe.cd/geostats\&quot;">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=GDP,UNIT_MEASURE=USD_PPP_PS,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Real gross domestic product (ROPI-adjusted for inflation) - Regions Produit intérieur brut réel (corrigé de l'inflation avec déflateurs régionaux, ROPI) - Régions <p>This dataset provides statistics on real gross domestic product (GDP) and real GDP per capita for subnational regions. Real values are deflation-adjusted using the Regional Producer Price Index (ROPI), where available.</p> <p>&nbsp;<strong>Data source and definition</strong></p> <p style="text-align: justify;">Regional gross domestic product data is collected at current prices, in millions of national currency from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p style="text-align: justify;">To allow comparability over time and between countries, data at current prices are transformed into constant prices and purchasing power parity measures. Regional GDP per capita is calculated by dividing regional GDP by the average annual population of the region.</p> <p style="text-align: justify;">See method and detailed data sources in Regions and Cities at a Glance 2024, <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e21619-2fdc5c3ec1">Annex</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting. Correspondence between TL3 and metropolitan regions:<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p style="text-align: justify;">Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>) and by urban-rural typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>).&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de donn&eacute;es fournit des statistiques sur le produit int&eacute;rieur brut (PIB) r&eacute;el et le PIB par habitant r&eacute;el pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3). Les valeurs r&eacute;elles sont ajust&eacute;es de la d&eacute;flation en utilisant l'indice des prix de production r&eacute;gionaux (ROPI) lorsque ces series sont disponibles.</p> <p><strong>Source de donn&eacute;es et d&eacute;finition</strong></p> <p>Les donn&eacute;es sur le produit int&eacute;rieur brut r&eacute;gional sont collect&eacute;es &agrave; des niveaux, &agrave; des prix courants, en millions de monnaie nationale &agrave; partir d'Eurostat (reg_eco10) pour les pays de l'Union europ&eacute;enne, et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par des d&eacute;l&eacute;gu&eacute;s du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux.</p> <p>Afin de permettre la comparabilit&eacute; dans le temps et entre les pays, les donn&eacute;es &agrave; prix courants sont transform&eacute;es en prix constants et en mesures de parit&eacute; de pouvoir d'achat (<a href="https://data.oecd.org/conversion/purchasing-power-parities-ppp.htm">lien</a>). Le PIB par habitant r&eacute;gional est calcul&eacute; en divisant le PIB r&eacute;gional par la population annuelle moyenne de la r&eacute;gion.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l'OCDE ont deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Utilisation des donn&eacute;es &eacute;conomiques sur les petites r&eacute;gions (TL3)</strong></p> <p>Lorsque des analyses &eacute;conomiques sont effectu&eacute;es au niveau TL3, il est conseill&eacute; d'agr&eacute;gater les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Les r&eacute;gions m&eacute;tropolitaines regroupent les r&eacute;gions TL3 lorsque 50% ou plus de la population r&eacute;gionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions cr&eacute;&eacute;es par les d&eacute;placements domicile-travail, voir la m&eacute;thodologie de l'UE appliqu&eacute;e aux r&eacute;gions TL3 de l'OCDE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil Web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Regions and Cities at a Glance</a></li> </ul> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=GVA,UNIT_MEASURE=USD_PPP,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Real gross value added by main economic activity (ROPI-adjusted for inflation) - Regions Valeur ajoutée brute réelle par activité économique principale (corrigé de l'inflation avec déflateurs régionaux, ROPI) - Régions <p>This dataset provides statistics on real gross value added by broad 10 activities for regions. Real values are deflation-adjusted using the Regional Producer Price Index (ROPI), where available.</p> <p><strong>Data source and definition</strong></p> <p style="text-align: justify;">Regional gross value added data is collected at current prices, in millions of national currency from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, data in current prices are transformed into constant prices and PPP measures.</p> <p>See method and detailed data sources in Regions and Cities at a Glance 2024, <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e21619-2fdc5c3ec1">Annex</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting. Correspondence between TL3 and metropolitan regions:<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p style="text-align: justify;">Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>) and by urban-rural typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>).&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de donn&eacute;es fournit des statistiques sur la valeur ajout&eacute;e brute r&eacute;elle par 10 grandes activit&eacute;s pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3). Les valeurs r&eacute;elles sont ajust&eacute;es de la d&eacute;flation en utilisant l'indice des prix de production r&eacute;gionaux (ROPI) lorsque ces series sont disponibles.</p> <p><strong>Source de donn&eacute;es et d&eacute;finition</strong></p> <p>Les donn&eacute;es sur la valeur ajout&eacute;e brute r&eacute;gionale sont collect&eacute;es &agrave; prix courants, en millions de monnaie nationale &agrave; partir d'Eurostat (reg_eco10) pour les pays de l'Union europ&eacute;enne, et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par des d&eacute;l&eacute;gu&eacute;s du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux.</p> <p>Afin de permettre la comparabilit&eacute; dans le temps et entre les pays, les donn&eacute;es &agrave; prix courants sont transform&eacute;es en prix constants et en mesures de parit&eacute; de pouvoir d'achat.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l'OCDE ont deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Utilisation des donn&eacute;es &eacute;conomiques sur les petites r&eacute;gions (TL3)</strong></p> <p>Lorsque des analyses &eacute;conomiques sont effectu&eacute;es au niveau TL3, il est conseill&eacute; d'agr&eacute;gater les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Les r&eacute;gions m&eacute;tropolitaines regroupent les r&eacute;gions TL3 lorsque 50% ou plus de la population r&eacute;gionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions cr&eacute;&eacute;es par les d&eacute;placements domicile-travail, voir la m&eacute;thodologie de l'UE appliqu&eacute;e aux r&eacute;gions TL3 de l'OCDE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil Web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Regions and Cities at a Glance</a></li> </ul> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=LAB_PROD,UNIT_MEASURE=USD_PPP_WR,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Real labour productivity by main economic activity (ROPI-adjusted for inflation) - Regions Productivité réelle du travail par activité économique principale (corrigé de l'inflation avec déflateurs régionaux, ROPI) - Régions <p>This dataset provides statistics on labour productivity for large and small regions. Real values are deflation-adjusted using the Regional Producer Price Index (ROPI), where available.</p> <p><strong>Data source and definition</strong></p> <p style="text-align: justify;">Labour productivity is measured as gross value added per employment at place of work by main economic activity. Regional gross value added and employment data are collected from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, data in current prices are transformed into constant prices and PPP measures.</p> <p>See method and detailed data sources in Regions and Cities at a Glance 2024, <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e21619-2fdc5c3ec1">Annex</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting. Correspondence between TL3 and metropolitan regions:<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p style="text-align: justify;">Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>) and by urban-rural typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>).&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de donn&eacute;es fournit des statistiques sur la productivit&eacute; du travail, pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3). Les valeurs r&eacute;elles sont ajust&eacute;es de la d&eacute;flation en utilisant l'indice des prix de production r&eacute;gionaux (ROPI) lorsque ces series sont disponibles.</p> <p><strong>Source de donn&eacute;es et d&eacute;finition</strong></p> <p>La productivit&eacute; du travail est mesur&eacute;e comme la valeur ajout&eacute;e brute par emploi sur le lieu de travail par grande activit&eacute; &eacute;conomique. Les donn&eacute;es r&eacute;gionales sur la valeur ajout&eacute;e brute et l'emploi sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_eco10) pour les pays de l'Union europ&eacute;enne, et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par des d&eacute;l&eacute;gu&eacute;s du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux.</p> <p>Afin de permettre la comparabilit&eacute; dans le temps et entre les pays, les donn&eacute;es &agrave; prix courants sont transform&eacute;es en prix constants et en mesures de parit&eacute; de pouvoir d'achat.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l'OCDE ont deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Utilisation des donn&eacute;es &eacute;conomiques sur les petites r&eacute;gions (TL3)</strong></p> <p>Lorsque des analyses &eacute;conomiques sont effectu&eacute;es au niveau TL3, il est conseill&eacute; d'agr&eacute;gater les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Les r&eacute;gions m&eacute;tropolitaines regroupent les r&eacute;gions TL3 lorsque 50% ou plus de la population r&eacute;gionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions cr&eacute;&eacute;es par les d&eacute;placements domicile-travail, voir la m&eacute;thodologie de l'UE appliqu&eacute;e aux r&eacute;gions TL3 de l'OCDE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil Web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Regions and Cities at a Glance</a></li> </ul> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,EDUCATION_LEV,SEX,AGE LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN NOT_DISPLAYED CL_AGGREGATION_OPERATION=MEAN,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;UNIT_MEASURE:Unité de mesure;COMBINED_REF_AREA:Zone géographique de référence combinée Educational attainment - Regions Niveau d'éducation - Régions <p>This dataset provides statistics on educational attainement in large regions (TL2).</p> <p><strong>Data definition and source</strong></p> <p>Educational attainment is defined as the highest grade completed within the most advanced level attended in the educational system of the country where the education was received. Educational attainments are internationally standardised through the <a href="http://www.uis.unesco.org/Education/Pages/international-standard-classification-of-education.aspx">ISCED 2011</a> classification used to define the levels of education:&nbsp;ISCED 0-2 (elementary), 3-4 (secondary), 5-8 (tertiary).</p> <p>Data are collected from Eurostat (reg_educ) for EU countries, and through delegates of the OECD Working Party on Territorial Indicators (WPTI) and the OECD Working Party on Education System Indicators (INES).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de données fournit des statistiques sur le niveau d'éducation dans de grandes régions (TL2).</p> <p><strong>Définition des données et source</strong></p> <p>Le niveau d'éducation est défini comme le plus haut niveau scolaire atteint dans le système éducatif du pays où l'éducation a été reçue. Les niveaux d'éducation sont normalisés à l'échelle internationale par la classification <a href="http://www.uis.unesco.org/Education/Pages/international-standard-classification-of-education.aspx">CITE 2011</a> utilisée pour définir les niveaux d'éducation : CITE 0-2 (élémentaire), 3-4 (secondaire), 5-8 (tertiaire).</p> <p>Les données sont collectées auprès d'Eurostat (reg_educ) pour les pays de l'UE, et par l'intermédiaire des délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et du Groupe de travail de l'OCDE sur les indicateurs du système éducatif (INES).</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et les villes de l'OCDE</a></li> </ul> <p>Contact :&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY NOT_DISPLAYED REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8,CL_AGGREGATION_OPERATION=MEAN DEFAULT Education statistics - Regions (for 'Developer API') Statistiques sur l'éducation - Régions (pour 'Developer API') <p style="text-align: justify;">This dataset provides the whole set of OECD regional education data and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the &lsquo;Developer API query builder&rsquo;, click on the &lsquo;Developer API&rsquo; button above.</p> <p style="text-align: justify;">The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left.<br /><br />To get started check the&nbsp;<a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a></p> <p style="text-align: justify;"><strong>Indicators covered</strong></p> <p style="text-align: justify;">This dataset provides statistics on education in regions, it includes population by educational attainment, employment rate by level of education, enrolment rates by age, adult training, NEET and early leavers rates.</p> <p>The list and maps of regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit l'ensemble des données régionales de l'OCDE sur l'éducation et est recommandé pour les utilisateurs souhaitant interroger une grande quantité de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Table et Graphique. Pour accéder au &lsquo;Générateur de requêtes API développeur&rsquo;, cliquez sur le bouton &lsquo;API développeur&rsquo; ci-dessus.</p> <p style="text-align: justify;">L'interface de programmation d'application (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant une simple URL RESTful et des options d'en-tête HTTP pour divers formats de réponse, y compris JSON. Le filtre de requête est généré en fonction de la sélection de données actuelle. Pour changer la sélection de données, utilisez les filtres sur la gauche.<br /><br />Pour commencer, consultez la&nbsp;<a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation de l'API</a></p> <p style="text-align: justify;"><strong>Indicateurs couverts</strong></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur l'éducation dans les régions, il inclut la population selon le niveau de formation, le taux d'emploi par niveau d'éducation, les taux de scolarisation par âge, la formation des adultes, les taux de NEET et d'abandon précoce.</p> <p>La liste et les cartes des régions sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <p>Les statistiques infranationales peuvent être explorées davantage avec :</p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Pour toute question ou tout commentaire, veuillez écrire à&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,EDUCATION_LEV,SEX,AGE LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN NOT_DISPLAYED CL_AGGREGATION_OPERATION=MEAN,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;UNIT_MEASURE:Unité de mesure;COMBINED_REF_AREA:Zone géographique de référence combinée Employment by level of education - Regions Emploi par niveau d'éducation - Régions <p>This dataset provides statistics on employment rates by level of education in large regions (TL2).</p> <p><strong>Data definition and source</strong></p> <p>Employment rate is measured by the number of persons employed aged 25 to 64 and 25-34 year-olds over the population of the respective age, broken down education level. The education level is defined as the highest grade completed within the most advanced level attended in the educational system of the country where the education was received. Educational attainments are internationally standardised with the <a href="http://www.uis.unesco.org/Education/Pages/international-standard-classification-of-education.aspx">ISCED-2011</a> classification: ISCED 0-2 (elementary), 3-4 (secondary), 5-8 (tertiary).&nbsp;</p> <p>Data are collected from Eurostat (reg_educ) for EU countries, and through delegates of the OECD Working Party on Territorial Indicators (WPTI) and the OECD Working Party on Education System Indicators (INES).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de données fournit des statistiques sur les taux d'emploi selon le niveau d'éducation dans de grandes régions (TL2).</p> <p><strong>Définition des données et source</strong></p> <p>Le taux d'emploi est mesuré par le nombre de personnes employées âgées de 25 à 64 ans et de 25 à 34 ans par rapport à la population de chaque tranche d'âge, ventilé par niveau d'éducation. Le niveau d'éducation est défini comme le plus haut niveau scolaire atteint dans le système éducatif du pays où l'éducation a été reçue. Les niveaux d'éducation sont normalisés à l'échelle internationale avec la classification <a href="http://www.uis.unesco.org/Education/Pages/international-standard-classification-of-education.aspx">CITE-2011</a> : CITE 0-2 (élémentaire), 3-4 (secondaire), 5-8 (tertiaire).&nbsp;</p><p>Les données sont collectées auprès d'Eurostat (reg_educ) pour les pays de l'UE, et par l'intermédiaire des délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et du Groupe de travail de l'OCDE sur les indicateurs du système éducatif (INES).</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et les villes de l'OCDE</a></li> </ul> <p>Contact :&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,EDUCATION_LEV,SEX,AGE LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN NOT_DISPLAYED CL_AGGREGATION_OPERATION=MEAN,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;UNIT_MEASURE:Unité de mesure;COMBINED_REF_AREA:Zone géographique de référence combinée Students enrolment - Regions Inscription des étudiants - Régions <p>This dataset provides statistics on enrolment rates by age in large regions (TL2).</p> <p><strong>Data definition and source</strong></p> <p>Enrolment rates are defined as the share of individuals of each age group enrolled in all types of schools and education institutions, including public, private and all other institutions that provide organised educational programmes according to the <a href="http://www.uis.unesco.org/Education/Pages/international-standard-classification-of-education.aspx">ISCED 2011</a> classification, regardless of education level enrolled in (share of individuals enrolled over the population of the same age group). Age groups are defined as 3-5, 6-14, 15-19, 20-29, 30-39 and &gt;40 year-olds.&nbsp;</p> <p>Data are collected from Eurostat (reg_educ) for EU countries, and through delegates of the OECD Working Party on Territorial Indicators (WPTI) and the OECD Working Party on Education System Indicators (INES).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de données fournit des statistiques sur les taux d'inscription par âge dans de grandes régions (TL2).</p> <p><strong>Définition des données et source</strong></p> <p>Les taux d'inscription sont définis comme la proportion d'individus de chaque tranche d'âge inscrits dans tous types d'écoles et d'institutions éducatives, y compris publiques, privées et toutes les autres institutions fournissant des programmes éducatifs organisés selon la classification <a href="http://www.uis.unesco.org/Education/Pages/international-standard-classification-of-education.aspx">CITE 2011</a>, indépendamment du niveau d'éducation suivi (part d'individus inscrits par rapport à la population de la même tranche d'âge). Les tranches d'âge sont définies comme 3-5, 6-14, 15-19, 20-29, 30-39 et >40 ans.</p> <p>Les données sont collectées auprès d'Eurostat (reg_educ) pour les pays de l'UE, et par l'intermédiaire des délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et du Groupe de travail de l'OCDE sur les indicateurs du système éducatif (INES).</p> <p><strong>Définition des régions</strong></p><p style="text-align: justify;">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et les villes de l'OCDE</a></li> </ul> <p>Contact :&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,EDUCATION_LEV,SEX,AGE LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN NOT_DISPLAYED CL_AGGREGATION_OPERATION=MEAN,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;UNIT_MEASURE:Unité de mesure;COMBINED_REF_AREA:Zone géographique de référence combinée Youth exclusion from education - Regions Exclusion des jeunes de l'éducation - Régions <p>This dataset provides statistics on the exclusion of young people from education, NEETs and early leavers in large regions (TL2).</p> <p><strong>Data definition and source</strong></p> <p>NEET rate is measure as the rate of young people not in employment and not in any education and training. The rate of early leavers from education and training refers to young people who have finished no more than a lower secondary education and are not involved in further education or training. The NEET and early leavers rates generally refer to persons aged 18 to 24, expressed as a percentage of the total population of the same age.</p> <p>Data are collected from Eurostat (reg_educ) for EU countries, and through delegates of the OECD Working Party on Territorial Indicators (WPTI) and the OECD Working Party on Education System Indicators (INES).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de données fournit des statistiques sur le niveau d'éducation dans de grandes régions (TL2).</p> <p><strong>Définition des données et source</strong></p> <p>Le niveau d'éducation est défini comme le plus haut niveau scolaire atteint dans le système éducatif du pays où l'éducation a été reçue. Les niveaux d'éducation sont normalisés à l'échelle internationale par la classification <a href="http://www.uis.unesco.org/Education/Pages/international-standard-classification-of-education.aspx">CITE 2011</a> utilisée pour définir les niveaux d'éducation : CITE 0-2 (élémentaire), 3-4 (secondaire), 5-8 (tertiaire).</p> <p>Les données sont collectées auprès d'Eurostat (reg_educ) pour les pays de l'UE, et par l'intermédiaire des délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et du Groupe de travail de l'OCDE sur les indicateurs du système éducatif (INES).</p> <p><strong>Définition des régions</strong></p><p style="text-align: justify;">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et les villes de l'OCDE</a></li> </ul> <p>Contact :&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,EDUCATION_LEV,SEX,AGE LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN NOT_DISPLAYED CL_AGGREGATION_OPERATION=MEAN,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;UNIT_MEASURE:Unité de mesure;COMBINED_REF_AREA:Zone géographique de référence combinée Adult training - Regions Formation des adultes - Régions <p>This dataset provides statistics on adult training in large regions (TL2).</p> <p><strong>Data definition and source</strong></p> <p>Adult training is measured here as a percentage of the population aged 25-64 participating in formal and/or non-formal education and training under two reference periods: in the past 4 weeks (source: Survey of Adult Skills PIAAC) and the past 12 months (source: Adult Education Survey (AES)).</p> <p>Data are collected from Eurostat (reg_educ) for EU countries, and through delegates of the OECD Working Party on Territorial Indicators (WPTI) and the OECD Working Party on Education System Indicators (INES).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de données fournit des statistiques sur le niveau d'éducation dans de grandes régions (TL2).</p> <p><strong>Définition des données et source</strong></p> <p>Le niveau d'éducation est défini comme le plus haut niveau scolaire atteint dans le système éducatif du pays où l'éducation a été reçue. Les niveaux d'éducation sont normalisés à l'échelle internationale par la classification <a href="http://www.uis.unesco.org/Education/Pages/international-standard-classification-of-education.aspx">CITE 2011</a> utilisée pour définir les niveaux d'éducation : CITE 0-2 (élémentaire), 3-4 (secondaire), 5-8 (tertiaire).</p> <p>Les données sont collectées auprès d'Eurostat (reg_educ) pour les pays de l'UE, et par l'intermédiaire des délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et du Groupe de travail de l'OCDE sur les indicateurs du système éducatif (INES).</p> <p><strong>Définition des régions</strong></p></p><p style="text-align: justify;">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et les villes de l'OCDE</a></li> </ul> <p>Contact :&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION NOT_DISPLAYED MEASURE=PM25_POP_EXP,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Exposure to air pollution - Regions Pollution de l'air - Régions <p style="text-align: justify;">This dataset provides statistics on air pollution in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p>Air pollution is measured by the annual average exposure of the population to PM2.5 fine particles. The source of the data is the OECD Environment database, using the concentration estimates from the Institute for Health Metrics and Evaluation Global Burden of Disease (IHME-GBD, 2019). See the methodology <a href="https://doi.org/10.1787/5jlsqs8g1t9r-en">(pdf)</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="&quot;https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur la pollution de l'air dans les grandes (TL2) et petites (TL3) régions.</p> <p><strong>Définition des données et source</strong></p> <p>La pollution de l'air est mesurée par l'exposition annuelle moyenne de la population aux particules fines PM2.5. La source des données est la base de données de l'OCDE sur l'environnement, utilisant les estimations de concentration provenant de l'Institute for Health Metrics and Evaluation Global Burden of Disease (IHME-GBD, 2019). Consultez la méthodologie <a href="https://doi.org/10.1787/5jlsqs8g1t9r-en">(pdf)</a>.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION NOT_DISPLAYED MEASURE=ELEC_CARB_INTENS,ELEC_TOTAL,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Electricity generation - Regions Production d'électricité - Régions <p style="text-align: justify;">This dataset provides statistics on electricity generation in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p>Electricity generation is estimated at the power plant level based on the relative capacity of each power plant from the Global Power Plant Database <a href="https://www.wri.org/research/global-database-power-plants">(GPPD)</a> and on the total national electricity generation form each energy source from the International Energy Agency database on Electricity Information<a href="&quot;https://www.oecd-ilibrary.org/sites/14">(IAE)</a>. See the <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&amp;_csp_=355ee23bb469df35bc8b9adb40cbfd3d&amp;itemIGO=oecd&amp;itemContentType=book#section-d1e19250">methodology</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="&quot;https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur la production d'électricité dans les grandes (TL2) et petites (TL3) régions.</p> <p><strong>Définition des données et source</strong></p> <p>La production d'électricité est estimée au niveau des centrales électriques en fonction de la capacité relative de chaque centrale électrique de la base de données mondiale des centrales électriques <a href="https://www.wri.org/research/global-database-power-plants">(GPPD)</a> et de la production totale d'électricité nationale à partir de chaque source d'énergie de la base de données de l'Agence internationale de l'énergie sur les informations relatives à l'électricité <a href="&quot;https://www.oecd-ilibrary.org/sites/14">(AIE)</a>. Consultez la <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&amp;_csp_=355ee23bb469df35bc8b9adb40cbfd3d&amp;itemIGO=oecd&amp;itemContentType=book#section-d1e19250">méthodologie</a>.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION NOT_DISPLAYED REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Environment statistics - Regions Statistiques environementales - Régions <p style="text-align: justify;">This dataset provides subnationaltional statistics on environment and climate, in small and large regions.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">This dataset provides subnationaltional statistics on environment and climate, in small and large regions.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION NOT_DISPLAYED MEASURE=GHG_TOTAL,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT MEASURE:MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS MEASURE:Measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure MEASURE:Mesure;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Greenhouse gas emissions - Regions Émissions de gaz à effet de serre - Régions <p style="text-align: justify;">This dataset provides statistics on greenhouse gaz emissions (GHG) in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p>GHG are estimated by sector of origin at the subnational level are estimated using the Emissions Database for Global Atmospheric Research (EDGAR) <a>(Joint Research Centre)</a>. See the <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&amp;_csp_=355ee23bb469df35bc8b9adb40cbfd3d&amp;itemIGO=oecd&amp;itemContentType=book#section-d1e19964">methodology</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="&quot;https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur les émissions de gaz à effet de serre (GES) dans les grandes (TL2) et petites (TL3) régions.</p> <p><strong>Définition des données et source</strong></p> <p>Les GES sont estimés par secteur d'origine au niveau subnational en utilisant la base de données sur les émissions pour la recherche atmosphérique mondiale (EDGAR) <a>(Joint Research Centre)</a>. Consultez la <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&amp;_csp_=355ee23bb469df35bc8b9adb40cbfd3d&amp;itemIGO=oecd&amp;itemContentType=book#section-d1e19964">méthodologie</a>.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION NOT_DISPLAYED MEASURE=MWAS+POP_WATER_2ND_TREAT,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Waste treatment - Regions Traitement des déchets - Régions <p style="text-align: justify;">This dataset provides statistics on municipal waste and wastewater treatment in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Municipal waste</strong> data covers total amount municipal waste collected, recovered municipal waste and municipal waste used in controlled landfilling. Recovered municipal waste is defined as waste that undergoes material recycling or other forms of recovery (including energy recovery, composting), excluding landfilling.&nbsp;</li> <li><strong>Wasterwater treated</strong> is measured by the share of population connected to at least secondary wastewater treatment.</li> </ul> <p>Data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="&quot;https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur les déchets municipaux et le traitement des eaux usées dans les grandes (TL2) et petites (TL3) régions.</p> <p><strong>Définition des données et source</strong></p> <ul> <li><strong>Déchets municipaux</strong> : les données couvrent la quantité totale de déchets municipaux collectés, les déchets municipaux récupérés et les déchets municipaux utilisés dans des sites d'enfouissement contrôlés. Les déchets municipaux récupérés sont définis comme des déchets qui font l'objet d'un recyclage matériel ou d'autres formes de valorisation (y compris la valorisation énergétique, le compostage), à l'exclusion de l'enfouissement.</li> <li><strong>Eaux usées traitées</strong> : mesurées par la part de la population connectée à au moins un traitement des eaux usées de niveau secondaire.</li> </ul> <p>Les données sont collectées par l'intermédiaire de délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI), ainsi que sur les sites Web des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z) NOT_DISPLAYED MEASURE=DOC_RA,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Health care - Regions Soins de santé - Régions <p style="text-align: justify;">This dataset provides statistics on healthcare resources in large regions (TL2), and small regions (TL3) when data is available. Indicators include doctor, practising nurses, hospital beds and hospital discharges.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Doctors</strong> (physicians) are usually generalists who assume responsibility for the provision of continuing care to individuals and families, or specialists such as paediatricians, obstetricians/gynaecologists, psychiatrists, medical specialists and surgical specialists.&nbsp;</li> <li><strong>Practising nurses</strong> provide services directly to patients, it includes: professional nurses, associate professional nurses, foreign nurses licensed to practice and actively practising in the country. It excludes midwives unless they work most of the time as nurses.</li> <li><strong>Hospital beds </strong>are all hospital beds which are regularly maintained and staffed and immediately available for the care of admitted patients. They include beds in all hospitals, including general hospitals, mental health and substance abuse hospitals, and other specialty hospitals; occupied and unoccupied beds.</li> </ul> <p style="padding-left: 40px;">The three indicators above are measured per 1 000 inhabitants.</p> <ul> <li><strong>Hospital discharge</strong> is the formal release of a patient from a hospital, here for all causes of diseases (A00-Z99) and all hospitals. It includes discharges from all hospitals, including general hospitals (HP.1.1), mental health hospitals (HP.1.2), and other specialised hospitals (HP.1.3) ; Deaths in hospital ; Transfers to another hospital ; Discharges of healthy newborns. This indicator is measured per 100 000 inhabitants.</li> </ul> <p>Data is collected from Eurostat (reg_hlth) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur les ressources en matière de santé dans de grandes régions (TL2) et de petites régions (TL3) lorsque les données sont disponibles. Les indicateurs comprennent les médecins, les infirmiers en exercice, les lits d'hôpital et les sorties d'hôpital.</p> <p><strong>Définition des données et source</strong></p> <ul> <li><strong>Médecins</strong> (médecins) sont généralement des généralistes qui assument la responsabilité de la fourniture de soins continus aux individus et aux familles, ou des spécialistes tels que les pédiatres, les obstétriciens/gynécologues, les psychiatres, les spécialistes médicaux et les spécialistes chirurgicaux.</li> <li><strong>Infirmiers en exercice</strong> fournissent des services directement aux patients, cela inclut : les infirmiers professionnels, les infirmiers professionnels associés, les infirmiers étrangers autorisés à pratiquer et pratiquant activement dans le pays. Cela exclut les sages-femmes à moins qu'elles ne travaillent la plupart du temps comme infirmières.</li> <li><strong>Lits d'hôpital </strong>sont tous les lits d'hôpital qui sont régulièrement entretenus et dotés en personnel, et immédiatement disponibles pour les soins des patients admis. Ils comprennent les lits dans tous les hôpitaux, y compris les hôpitaux généraux, les hôpitaux de santé mentale et de toxicomanie, et les autres hôpitaux spécialisés ; lits occupés et lits inoccupés.</li> </ul> <p style="padding-left: 40px;">Les trois indicateurs ci-dessus sont mesurés par 1 000 habitants.</p> <ul> <li><strong>Sortie d'hôpital</strong> est la libération formelle d'un patient d'un hôpital, ici pour toutes les causes de maladies (A00-Z99) et tous les hôpitaux. Cela inclut les sorties de tous les hôpitaux, y compris les hôpitaux généraux (HP.1.1), les hôpitaux de santé mentale (HP.1.2) et les autres hôpitaux spécialisés (HP.1.3) ; Décès à l'hôpital ; Transferts vers un autre hôpital ; Sorties de nouveaux-nés en bonne santé. Cet indicateur est mesuré par 100 000 habitants.</li> </ul> <p>Les données sont collectées auprès d'Eurostat (reg_hlth) pour les pays de l'UE et avec des données collectées par l'intermédiaire de délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et à partir des sites Web des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,SEX=_Z,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=DOC_RA,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT Health statistics - Regions Statistiques sur la santé - Régions <p style="text-align: justify;">This dataset provides statistics on health statistics for large regions (TL2) and small regions (TL3) when data is available. Indicators include healthcare resources (physicians, practising nurses, hospital beds and hospital discharges), health status (life expectancy, infant mortality rate, crude mortality rate, age-adjusted mortality rate) and health risks (obesity, mortality due circulatory and respiratory diseases, air pollution).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p style="text-align: justify;">When socio-demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">This dataset provides statistics on health statistics in regions. Indicators include healthcare resources (physicians, practising nurses, hospital beds and hospital discharges), health status (life expectancy, infant mortality rate, crude mortality rate, age-adjusted mortality rate) and health risks (obesity, mortality due circulatory and respiratory diseases, air pollution).</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=PM25_POP_EXP+OBESITY,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Health risks - Regions Risques sur la santé <p>This dataset provides regional statistics on health risks in large regions (TL2), and small regions (TL3) when data is available. Indicators include obesity rates, air pollution exposure, mortality rates due to circulatory and respiratory diseases.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Obesity rate</strong> is the percentage of population 15 years old or more with a BMI&gt;30 kg/m². The Body Mass Index (BMI) is a single number that evaluates an individual's weight status in relation to height (weight/height²) with weight in kilograms and height in meters.</li> <li><strong>Population exposure to fine particule PM2.5</strong> provide an estimate of the population-weighted average of PM2.5 concentration.</li> <li><strong>Respiratory system diseases mortality rate</strong>&nbsp; is the number of deaths from diseases of the respiratory system (group J00-J99 of the International Classification of Deseases), for 100 000 inhabitants.</li> <li><strong>Circulatory system diseases mortality rate</strong> rate is the number of deaths from diseases of the circulatory system (group I00-I99) for 100 000 inhabitants.</li> </ul> <p>PM2.5 air pollution indicators are computed using geospatial data from the Global Burden of Disease (GBD) 2019 project. Respiratory and circulatory related mortality data are collected from Eurostat (reg_hlth) for EU regions and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.&nbsp;</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p>When socio-demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de données fournit des statistiques régionales sur les risques sanitaires dans de grandes régions (TL2) et de petites régions (TL3) lorsque les données sont disponibles. Les indicateurs comprennent les taux d'obésité, l'exposition à la pollution atmosphérique, les taux de mortalité dus aux maladies circulatoires et respiratoires.</p> <p><strong>Définition des données et source</strong></p> <ul> <li><strong>Taux d'obésité</strong> : pourcentage de la population de 15 ans ou plus avec un IMC&gt;30 kg/m². L'indice de masse corporelle (IMC) est un nombre unique qui évalue le statut pondéral d'un individu par rapport à sa taille (poids/taille²) avec le poids en kilogrammes et la taille en mètres.</li> <li><strong>Exposition de la population aux particules fines PM2.5</strong> : fournit une estimation de la moyenne pondérée par la population de la concentration en PM2.5.</li> <li><strong>Taux de mortalité des maladies respiratoires</strong> : nombre de décès dus aux maladies du système respiratoire (groupe J00-J99 de la Classification internationale des maladies), pour 100 000 habitants.</li> <li><strong>Taux de mortalité des maladies circulatoires</strong> : nombre de décès dus aux maladies du système circulatoire (groupe I00-I99) pour 100 000 habitants.</li> </ul> <p>Les indicateurs de pollution atmosphérique PM2.5 sont calculés à partir de données géospatiales du projet Global Burden of Disease (GBD) 2019. Les données sur la mortalité liée aux maladies respiratoires et circulatoires sont collectées auprès d'Eurostat (reg_hlth) pour les régions de l'UE et via des délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI), ainsi que sur les sites Web des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p> <p>Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Utilisation des données sur les petites régions</strong></p> <p>Lorsque des données socio-démographiques sont analysées avec des données économiques au niveau TL3, il est recommandé d'agrégater les données au niveau des régions métropolitaines lorsqu'elles sont associées à plusieurs régions TL3. Les régions métropolitaines regroupent les régions TL3 lorsque 50 % ou plus de la population régionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions créées par les déplacements domicile-travail, voir la liste des régions métropolitaines de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a> et la méthodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des regions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=LEXP,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Health status - Regions Etat de santé <p style="text-align: justify;">This dataset provides statistics on health status in in large regions (TL2), and small regions (TL3) when data is available. Indicators include life expectancy, raw mortality rate, age-adjusted mortality rate and infant mortality rate.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Life expectancy at birth</strong> is defined as how long, on average, a newborn can expect to live, if current death rates do not change.&nbsp;</li> <li><strong>Crude mortality rate</strong>&nbsp;is defined as the ratio of the number of deaths during the year to the average population in that year. The indicator is expressed per 1 000 inhabitants.</li> <li><strong>Age-adjusted mortality rate</strong> represents the death rate that would be expected in a given region if its population had the same age distribution as the OECD average, enabling comparability across different countries and regions. For small TL3 regions, where this indicator may vary, it is advisable to calculate the average values over a minimum period of three years for a more reliable assessment.</li> <li><strong> Infant mortality rate</strong> is the number of deaths of children less than one year of age per 1 000 live births.</li> </ul> <p>Data is collected from Eurostat (reg_hlth) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur l'état de santé dans de grandes régions (TL2) et de petites régions (TL3) lorsque les données sont disponibles. Les indicateurs comprennent l'espérance de vie, le taux brut de mortalité, le taux de mortalité ajusté selon l'âge et le taux de mortalité infantile.</p> <p><strong>Définition des données et source</strong></p> <ul> <li><strong>L'espérance de vie à la naissance</strong> est définie comme la durée moyenne qu'un nouveau-né peut espérer vivre, si les taux de mortalité actuels ne changent pas.</li> <li><strong>Le taux brut de mortalité</strong> est défini comme le rapport entre le nombre de décès au cours de l'année et la population moyenne de cette année. L'indicateur est exprimé par 1000 habitants.</li> <li><strong>Le taux de mortalité ajusté selon l'âge</strong> représente le taux de mortalité qui serait attendu dans une région donnée si sa population avait la même distribution par âge que la moyenne de l'OCDE, permettant la comparabilité entre différents pays et régions. Pour les petites régions TL3, où cet indicateur peut varier, il est conseillé de calculer les valeurs moyennes sur une période minimale de trois ans pour une évaluation plus fiable.</li> <li><strong>Le taux de mortalité infantile</strong> est le nombre de décès d'enfants de moins d'un an pour 1000 naissances vivantes.</li> </ul> <p>Les données sont collectées auprès d'Eurostat (reg_hlth) pour les pays de l'UE et avec des données collectées par l'intermédiaire de délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et à partir des sites Web des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=EMP,AGE=Y15T64,SEX=_T,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Labour indicators levels - Regions Marché du travail (niveaux) - Régions <p>This dataset provides labour force, employment and unemployment levels, for large regions (TL2) and small regions (TL3) when available.</p> <p><strong>Data definition and source</strong></p> <p>The labour force status is presented by sex, for 15-64 year-olds and 15+ year-olds age ranges, the latter having less country coverage. Data is based on a labour force survey using ILO guidelines and collected from Eurostat (reg_lmk) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Territorial typologies</strong></p> <p>Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de données fournit les niveaux de la population active, de l'emploi et du chômage, pour les grandes régions (TL2) et les petites régions (TL3) lorsque disponibles.</p> <p><strong>Définition des données et source</strong></p> <p>Le statut de la population active est présenté par sexe, pour les tranches d'âge de 15 à 64 ans et de 15 ans et plus, cette dernière ayant une couverture nationale moins étendue. Les données sont basées sur une enquête sur la population active utilisant les directives de l'OIT et sont collectées auprès d'Eurostat (reg_lmk) pour les pays de l'UE, ainsi que par l'intermédiaire des délégués du Groupe de travail sur les indicateurs territoriaux de l'OCDE (WPTI), et proviennent également des sites web des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p><p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p style="text-align: justify;">Les petites régions TL3 sont catégorisées en fonction de caractéristiques communes en typologies régionales. Consultez les indicateurs démographiques agrégés par typologie territoriale au niveau national sur la typologie d'accès aux zones urbaines fonctionnelles <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et par typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil interactif en ligne <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et de villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=EMP_PT,AGE=Y15T64,SEX=_T,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Part-time employment - Regions Emploi à temps partiel - Régions <p>This dataset provides part-time employment incidence, for large regions (TL2) and small regions (TL3) when available.</p> <p><strong>Data definition and source</strong></p> <p>Part-time employment is defined as people in employment (whether employees or self-employed) who usually work less than 30 hours per week in their main job. Part-time employment incidence is the share of part-time employed over total employment. Data is based on a labour force survey using ILO guidelines and collected from Eurostat (reg_lmk) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Territorial typologies</strong></p> <p>Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de données fournit l'incidence de l'emploi à temps partiel, pour les grandes régions (TL2) et les petites régions (TL3) lorsque disponibles.</p> <p><strong>Définition des données et source</strong></p> <p>L'emploi à temps partiel est défini comme les personnes occupées (qu'elles soient salariées ou indépendantes) qui travaillent généralement moins de 30 heures par semaine dans leur emploi principal. L'incidence de l'emploi à temps partiel est la part des employés à temps partiel par rapport à l'emploi total. Les données sont basées sur une enquête sur la population active utilisant les directives de l'OIT et sont collectées auprès d'Eurostat (reg_lmk) pour les pays de l'UE, ainsi que par l'intermédiaire des délégués du Groupe de travail sur les indicateurs territoriaux de l'OCDE (WPTI), et proviennent également des sites web des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p><p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p style="text-align: justify;">Les petites régions TL3 sont catégorisées en fonction de caractéristiques communes en typologies régionales. Consultez les indicateurs démographiques agrégés par typologie territoriale au niveau national sur la typologie d'accès aux zones urbaines fonctionnelles <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et par typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil interactif en ligne <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et de villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=EMP_RATIO,AGE=Y15T64,SEX=_T,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Labour indicators rates - Regions Marché du travail (taux) - Régions <p>This dataset provides participation rate, employment to population ratio and unemployment rate, for large regions (TL2) and small regions (TL3) when available.</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">The labour force status is presented by sex, for 15-64 year-olds and 15+ year-olds age ranges, the latter having less country coverage. Data is based on a labour force survey using ILO guidelines and collected from Eurostat (reg_lmk) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de données fournit le taux de participation, le ratio emploi-population et le taux de chômage pour les grandes régions (TL2) et les petites régions (TL3) lorsque disponibles.</p> <p><strong>Définition des données et source</strong></p> <p style="text-align: justify;">Le statut de la population active est présenté par sexe, pour les tranches d'âge de 15 à 64 ans et de 15 ans et plus, cette dernière ayant une couverture nationale moins étendue. Les données sont basées sur une enquête sur la population active utilisant les directives de l'OIT et sont collectées auprès d'Eurostat (reg_lmk) pour les pays de l'UE, ainsi que par l'intermédiaire des délégués du Groupe de travail sur les indicateurs territoriaux de l'OCDE (WPTI), et proviennent également des sites web des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p style="text-align: justify;">Les petites régions TL3 sont catégorisées en fonction de caractéristiques communes en typologies régionales. Consultez les indicateurs démographiques agrégés par typologie territoriale au niveau national sur la typologie d'accès aux zones urbaines fonctionnelles <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et par typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil interactif en ligne <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et de villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=EMP_RATIO,AGE=Y15T64,SEX=_T,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Temporary employees - Regions Salariés temporaires - Régions <p>This dataset provides the share of closed fixed term employment contracts for large regions (TL2) and small regions (TL3) when available.</p> <p><strong>Data definition and source</strong></p> <p>Data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Territorial typologies</strong></p> <p>Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de données fournit l'incidence de l'emploi à temps partiel, pour les grandes régions (TL2) et les petites régions (TL3) lorsque disponibles.</p> <p><strong>Définition des données et source</strong></p> <p>L'emploi à temps partiel est défini comme les personnes occupées (qu'elles soient salariées ou indépendantes) qui travaillent généralement moins de 30 heures par semaine dans leur emploi principal. L'incidence de l'emploi à temps partiel est la part des employés à temps partiel par rapport à l'emploi total. Les données sont basées sur une enquête sur la population active utilisant les directives de l'OIT et sont collectées auprès d'Eurostat (reg_lmk) pour les pays de l'UE, ainsi que par l'intermédiaire des délégués du Groupe de travail sur les indicateurs territoriaux de l'OCDE (WPTI), et proviennent également des sites web des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p></p><p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p style="text-align: justify;">Les petites régions TL3 sont catégorisées en fonction de caractéristiques communes en typologies régionales. Consultez les indicateurs démographiques agrégés par typologie territoriale au niveau national sur la typologie d'accès aux zones urbaines fonctionnelles <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et par typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil interactif en ligne <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et de villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=EMP_RATIO,AGE=Y15T64,SEX=_T,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Labour indicators by access to city typology Indicateurs sur le marché du travail par typologie d'accès à la ville <p>This dataset provides labour market indicators aggregated at national level and broken down by territorial typology according to the population's access to cities.</p> <p style="text-align: justify;"><strong>Data source and definition</strong></p> <p style="text-align: justify;">I>The indicators include labour indicators at place of residence by type of territory. Data is based on a labor force survey using ILO methodology and collected from Eurostat (reg_lmk) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p>The indicators are aggregated data at the national level, using the typology of small (TL3) regions to calculate totals or averages for all metropolitan large regions, metropolitan midsize regions, near a midsize/large FUA regions, near a small FUA regions and remote regions.</p> <p><strong> Territorial typology on the population's access to cities</strong></p> <p>Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region.&nbsp;</p> <p>The OECD territorial typology on access to cities uses the concept of functional urban areas (FUA) &ndash; composed of urban centres and their commuting areas &ndash; and classifies small (TL3) regions (<a href="https://doi.org/10.1787/b902cc00-en">Fadic et al., 2019</a>) according to the following criteria:</p> <ul> <li>Metropolitan regions, if more than half of the population live in a FUA. Metropolitan regions are further classified into: <em><strong>metropolitan large</strong></em>, if more than half of the population live in a (large) FUA of at least 1.5 million inhabitants; and <em><strong>metropolitan midsize</strong></em>, if more than half of the population live in a (midsize) FUA of at 250 000 to 1.5 million inhabitants.</li> <li>Non-metropolitan regions, if less than half of the population live in a midsize/large FUA. These regions are further classified according to their level of access to FUAs of different sizes: <em><strong>near a midsize/large FUA</strong></em> if more than half of the population live within a 60-minute drive from a midsize/large FUA (of more than 250 000 inhabitants) or if the TL3 region contains more than 80% of the area of a midsize/large FUA; <em><strong>near a small FUA</strong></em> if the region does not have access to a midsize/large FUA and at least half of its population have access to a small FUA (i.e. between 50 000 and 250 000 inhabitants) within a 60-minute drive, or contains 80% of the area of a small FUA; and <em><strong>remote</strong></em>, otherwise.</li> </ul> <p>List of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>. Maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de données fournit des indicateurs du marché du travail agrégés au niveau national et détaillés par typologie territoriale en fonction de l'accès de la population à la ville.</p> <p style="text-align: justify;"><strong>Source de données et définition</strong></p> <p style="text-align: justify;">Les indicateurs comprennent des données sur le marché du travail au lieu de résidence par type de territoire. Les données sont basées sur une enquête sur la population active utilisant la méthodologie de l'OIT et sont collectées auprès d'Eurostat (reg_lmk) pour les pays de l'UE, ainsi que par l'intermédiaire des délégués du Groupe de travail sur les indicateurs territoriaux de l'OCDE (WPTI), et proviennent également des sites web des offices statistiques nationaux.</p>. Les indicateurs sont des donn&eacute;es agr&eacute;g&eacute;es bas&eacute;es sur la typologie des petites r&eacute;gions (TL3) pour calculer un total ou une moyenne par type de territoire.</p> <p><strong>Typologie territoriale selon l'acc&egrave;s aux aires urbaines fonctionnelles</strong></p> <p>La typologie territoriale de l'OCDE sur l'acc&egrave;s aux aires urbaines fonctionnelles utilise le concept des aires urbaines fonctionnelles (FUA) et classe les petites r&eacute;gions (TL3) en r&eacute;gions m&eacute;tropolitaines et non m&eacute;tropolitaines (<a href="https://doi.org/10.1787/b902cc00-en">Fadic et al., 2019</a>) selon les crit&egrave;res suivants :</p> <ul> <li>R&eacute;gions m&eacute;tropolitaines, si plus de la moiti&eacute; de la population vit dans une FUA. Les r&eacute;gions m&eacute;tropolitaines sont ensuite class&eacute;es en : <em><strong>m&eacute;tropolitaines grandes</strong></em>, si plus de la moiti&eacute; de la population vit dans une FUA d'au moins 1,5 million d'habitants ; et <em><strong>m&eacute;tropolitaines de taille moyenne</strong></em>, si plus de la moiti&eacute; de la population vit dans une FUA de 250 000 &agrave; 1,5 million d'habitants.</li> <li>R&eacute;gions non m&eacute;tropolitaines class&eacute;es en fonction de leur niveau d'acc&egrave;s aux FUA de diff&eacute;rentes tailles : <em><strong>proches d'une FUA de taille moyenne/grande</strong></em> si plus de la moiti&eacute; de la population vit dans un rayon de 60 minutes d'une ZUF de taille moyenne/grande (de plus de 250 000 habitants) ou si la r&eacute;gion TL3 contient plus de 80% de la superficie d'une FUA de taille moyenne/grande ; <em><strong>proches d'une FUA de petite taille&nbsp;</strong></em>si la r&eacute;gion n'a pas acc&egrave;s &agrave; une FUA de taille moyenne/grande et que au moins la moiti&eacute; de sa population a acc&egrave;s &agrave; une FUA de petite taille (c'est-&agrave;-dire entre 50 000 et 250 000 habitants) dans un rayon de 60 minutes, ou contient 80% de la superficie d'une FUA de petite taille ; et <em><strong>&eacute;loign&eacute;es</strong></em>, sinon.</li> </ul> <p>Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le table de correspondance territoriale de l'OCDE <a href="&quot;https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Citer cet ensemble de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=EMP_RATIO,AGE=Y15T64,SEX=_T,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Labour indicators by urban-rural territorial typology Indicateurs sur le marché du travail par typologie urbaine-rurale <p>This dataset provides labour market indicators aggregated at national level and broken down by urban-rural territorial typology.</p> <p style="text-align: justify;"><strong>Data source and definition</strong></p> <p style="text-align: justify;">The indicators include labour indicators at place of residence by type of territory. Data is based on a labor force survey using ILO methodology and collected from Eurostat (reg_lmk) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p style="text-align: justify;">The indicators are aggregated data within a country based on the typology of small (TL3) regions to calculate a total or average for all predominantly rural regions, intermediate regions or predominantly urban regions.</p> <p style="text-align: justify;"><strong> Territorial typology based on urban-rural population</strong></p> <p>Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region.&nbsp;</p> <p style="text-align: justify;">Traditionally the OECD has classified small (TL3) regions as predominantly urban, intermediate, or predominantly rural regions. Predominantly rural regions can be further broken down as 'Close to city' and 'Remote', see the methodology <a href="https://www.oecd.org/cfe/regionaldevelopment/OECD_regional_typology_Nov2012.pdf">(pdf)</a>. This typology remains of interest for users, although the Access to City typology is now the one used by OECD analysts.</p> <p style="text-align: justify;">List of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>. Maps of OECD regions are presented in the OECD Territorial grid&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p style="text-align: justify;"><strong>Cite this dataset</strong></p> <p style="text-align: justify;">OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p style="text-align: justify;"><strong>Further information</strong></p> <ul style="text-align: justify;"> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p style="text-align: justify;">Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>Ce jeu de données fournit des indicateurs du marché du travail agrégés au niveau national et détaillés par typologie territoriale en fonction de l'accès de la population aux zones urbaines fonctionnelles.</p> <p style="text-align: justify;"><strong>Source de données et définition</strong></p> <p style="text-align: justify;">Les indicateurs comprennent des données sur le marché du travail au lieu de résidence par type de territoire. Les données sont basées sur une enquête sur la population active utilisant la méthodologie de l'OIT et sont collectées auprès d'Eurostat (reg_lmk) pour les pays de l'UE, ainsi que par l'intermédiaire des délégués du Groupe de travail sur les indicateurs territoriaux de l'OCDE (WPTI), et proviennent également des sites web des offices statistiques nationaux.</p><p style="text-align: justify;">Les indicateurs sont des donn&eacute;es agr&eacute;g&eacute;es au niveau d'un pays, bas&eacute;es sur la typologie des petites r&eacute;gions (TL3), afin de calculer un total ou une moyenne pour toutes les r&eacute;gions principalement rurales, les r&eacute;gions interm&eacute;diaires ou les r&eacute;gions principalement urbaines au sein d'un pays.</p> <p style="text-align: justify;"><strong>Typologie territoriale bas&eacute;e sur la population urbaine-rurale</strong></p> <p>Les typologies territoriales aident &agrave; &eacute;valuer les diff&eacute;rences dans les tendances socio-&eacute;conomiques dans les r&eacute;gions, &agrave; la fois au sein et entre les pays, et &agrave; mettre en &eacute;vidence les probl&egrave;mes sp&eacute;cifiques rencontr&eacute;s par chaque type de r&eacute;gion.&nbsp;</p> <p style="text-align: justify;">Traditionnellement, l'OCDE a class&eacute; les petites r&eacute;gions (TL3) en r&eacute;gions principalement urbaines, interm&eacute;diaires ou principalement rurales. Les r&eacute;gions principalement rurales peuvent &ecirc;tre d&eacute;compos&eacute;es davantage en 'Proches de la ville' et '&Eacute;loign&eacute;es', voir la m&eacute;thodologie <a href="https://www.oecd.org/cfe/regionaldevelopment/OECD_regional_typology_Nov2012.pdf">(pdf)</a>. Cette typologie reste d'int&eacute;r&ecirc;t pour les utilisateurs, bien que la typologie territoriale selon l'Accès a la Ville soit maintenant pr&eacute;f&eacute;r&eacute;e par les analystes de l'OCDE.</p> <p style="text-align: justify;">La liste des r&eacute;gions de l'OCDE et les typologies sont pr&eacute;sent&eacute;es dans le tableau de correspondance territoriale de l'OCDE <a href="&quot;https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>. Les cartes des r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p style="text-align: justify;"><strong>Citer cet ensemble de donn&eacute;es</strong></p> <p style="text-align: justify;">Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p style="text-align: justify;"><strong>Informations suppl&eacute;mentaires</strong></p> <ul style="text-align: justify;"> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Les r&eacute;gions et les villes de l'OCDE en un coup d'&oelig;il</a></li> </ul> <p style="text-align: justify;">Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY NOT_DISPLAYED MEASURE=EMP_RATIO,AGE=Y15T64,SEX=_T,=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Labour statistics - Regions (for 'Developer API') Statistiques sur le marché du travail - Régions (pour 'dévelopeurs API') <p style="text-align: justify;">This dataset provides labour market indicators, by region. The labour force status is presented by sex, for 15-64 year-olds. 15-24 year-olds and 15+ year-olds age ranges are also available. Indicators include labour force, participation rate, employment, employment to population ratio, part-time employment rate, unemployment, unemployment rate, long-term unemployment rate and share of fixed-term employment contracts.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">This dataset provides labour market indicators, by region. The labour force status is presented by sex, for 15-64 year-olds. 15-24 year-olds and 15+ year-olds age ranges are also available. Indicators include labour force, participation rate, employment, employment to population ratio, part-time employment rate, unemployment, unemployment rate, long-term unemployment rate and share of fixed-term employment contracts.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,EDUCATION_LEV,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED AGE=Y15T64,UNIT_MEASURE=PT_POP_SUB,SEX=_T,TERRITORIAL_LEVEL=CTRY+TL2,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT12+AT13+AT21+AT22+AT31+AT32+AT33+AT34 DEFAULT COMBINED_MEASURE:ORIGIN,MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;UNIT_MEASURE:Unité de mesure;COMBINED_REF_AREA:Zone géographique de référence combinée Foreign-born population - Regions Personnes nées à l'étranger - Statistiques régionales <p style="text-align: justify;">This dataset provides statistics on foreign-born population, for large regions (TL2).</p> <p style="text-align: justify;"><strong>Data definiton</strong></p> <p style="text-align: justify;">The database presents the foreign-born data following the region where the measure is observed and the place of birth. The measure of the count and integration of migrants can be compared with to that of native born. The indicators include demographic characteristics, educational level and labour market integration.&nbsp;</p> <p style="text-align: justify;">For more details on data sources for each country, please see <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=488a2d36-6ed6-4c29-9878-4a2ce384fe2b">here</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur la population née à l'étranger, pour les grandes régions (TL2).</p> <p style="text-align: justify;"><strong>Définition des données</strong></p> <p style="text-align: justify;">La base de données présente les données sur les personnes nées à l'étranger en fonction de la région où la mesure est observée et du lieu de naissance. La mesure du nombre et de l'intégration des migrants peut être comparée à celle des personnes nées dans le pays. Les indicateurs comprennent les caractéristiques démographiques, le niveau d'éducation et l'intégration sur le marché du travail.&nbsp;</p> <p style="text-align: justify;">Pour plus de détails sur les sources de données pour chaque pays, veuillez consulter <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=488a2d36-6ed6-4c29-9878-4a2ce384fe2b">ici</a>.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et des villes de l'OCDE</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY NOT_DISPLAYED MEASURE=MWAS+POP_WATER_2ND_TREAT,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Waste treatment - Regions Traitement des déchets - Régions <p style="text-align: justify;">This dataset provides statistics on municipal waste and wastewater treatment in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Municipal waste</strong> data covers total amount municipal waste collected, recovered municipal waste and municipal waste used in controlled landfilling. Recovered municipal waste is defined as waste that undergoes material recycling or other forms of recovery (including energy recovery, composting), excluding landfilling.&nbsp;</li> <li><strong>Wasterwater treated</strong> is measured by the share of population connected to at least secondary wastewater treatment.</li> </ul> <p>Data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur les déchets municipaux et le traitement des eaux usées dans les grandes (TL2) et petites (TL3) régions.</p> <p><strong>Définition des données et source</strong></p> <ul> <li><strong>Déchets municipaux</strong> : les données couvrent la quantité totale de déchets municipaux collectés, les déchets municipaux récupérés et les déchets municipaux utilisés dans des sites d'enfouissement contrôlés. Les déchets municipaux récupérés sont définis comme des déchets qui font l'objet d'un recyclage matériel ou d'autres formes de valorisation (y compris la valorisation énergétique, le compostage), à l'exclusion de l'enfouissement.</li> <li><strong>Eaux usées traitées</strong> : mesurées par la part de la population connectée à au moins un traitement des eaux usées de niveau secondaire.</li> </ul> <p>Les données sont collectées par l'intermédiaire de délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI), ainsi que sur les sites Web des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY NOT_DISPLAYED OECD_TECHNOLOGY_PATENT='_T',MEASURE_PAT='PAT',REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Patent statistics - Regions Statistiques sur les brevets - Régions <p style="text-align: justify;">This dataset provides subnational statistics on patent applications, for large regions (TL2) and small regions (TL3). It covers patent applications at international filled under the Patent Cooperation Treaty (PCT) at the World International Property Organisation (WIPO). These indicators are derived from the OECD, STI Intellectual Property Database (http://oe.cd/ipstats). </p> <p><strong>Regions and territorial levels</strong></p><p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Cet ensemble de données fournit des statistiques infranationales sur les demandes de brevets, pour les grandes régions (TL2) et les petites régions (TL3). Il couvre les demandes de brevets au niveau international auprès de l'Organisation mondiale de la propriété intellectuelle (OMPI) selon le Traité de coopération en matière de brevets (PCT). Ces indicateurs sont dérivés de la base de données STI de l'OCDE sur la propriété intellectuelle (http://oe.cd/ipstats).</p> <p><strong>Régions et niveaux territoriaux</strong></p> <p style="text-align: justify;">Les régions sont des unités infranationales situées sous les limites nationales et correspondent à des divisions administratives définies de manière autonome par les pays selon des critères différents. L'OCDE classe les régions en deux niveaux régionaux : grandes régions (niveau territorial 2 ou TL2) et petites régions (niveau territorial 3 ou TL3). Cette classification facilite une plus grande comparabilité des unités géographiques au même niveau territorial.</p> <p>La liste et les cartes des régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Typologies régionales</strong></p> <p style="text-align: justify;">Les typologies régionales permettent d'évaluer les différences dans les tendances socio-économiques des régions, tant au sein des pays qu'entre eux. Les petites régions (TL3) sont classées en deux types de typologie selon des caractéristiques partagées :</p> <ul> <li style="text-align: justify;">Typologie basée sur la proximité des régions aux zones urbaines fonctionnelles de tailles différentes (les ZUF englobent l'étendue économique et fonctionnelle des villes en se basant sur les mouvements quotidiens des populations). Voir la méthodologie <a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typologie basée sur la population urbaine-rurale : traditionnellement, l'OCDE a classé les petites régions comme étant principalement urbaines, intermédiaires ou principalement rurales. Voir la méthodologie <a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">La liste des régions de l'OCDE et des typologies est présentée dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Citez ce jeu de données</strong></p> <p>Bases de données sur les Régions et Villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <p>Les statistiques infranationales peuvent être explorées davantage avec :</p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des Régions et Villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des Régions et Villes de l'OCDE</a></li> </ul> <p>Pour toute question ou commentaire, veuillez écrire à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z) NOT_DISPLAYED MEASURE=BB_ACC,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Internet broadband access - Regions Logement - Régions <p style="text-align: justify;">This dataset provides statistics on the share of households with internet broadband access (in % of total households), in regions.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">This dataset provides statistics on the share of households with internet broadband access (in % of total households), in regions.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z) NOT_DISPLAYED MEASURE=ROOMS+HOUSE_COST+POP_WATER_2ND_TREAT,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Housing - Regions Logement - Régions <p style="text-align: justify;">This dataset provides statistics on rooms per capita, home ownership rate and housing costs as a percentage of disposable income in subnational regions.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Rooms per capita</strong>&nbsp;is the average number of rooms available per person in a household. A room is typically defined as a space in a dwelling intended for habitation, such as bedrooms, living rooms, dining rooms, and other spaces, excluding bathrooms, kitchens, hallways, and utility rooms.</li> <li><strong>Home ownership rate </strong>refers to the percentage of people who own the home where they live (own outright and with a morgage).</li> <li><strong>Housing costs as a percentage of disposable income</strong>&nbsp;considers the expenditure of households in housing - such as mortgages and rents - and maintenance of the house - including water, electricity, gas and other fuels, as well as furnishings, household equipment and routine maintenance of the house.</li> </ul> <p>Data sources are detailled in&nbsp;<a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/sources-and-data-description_1e03fb78.html#annex-d1e11923-5bd726c153">OECD Regions and Cities at a Glance 2024 - Annex B</a></p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org">Housing - Regions</a>),&nbsp;<a href="\&quot;http://oe.cd/geostats\&quot;">http://oe.cd/geostats</a>.</p> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">This dataset provides statistics on rooms per capita, home ownership rate and housing costs as a percentage of disposable income in subnational regions.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Rooms per capita</strong>&nbsp;is the average number of rooms available per person in a household. A room is typically defined as a space in a dwelling intended for habitation, such as bedrooms, living rooms, dining rooms, and other spaces, excluding bathrooms, kitchens, hallways, and utility rooms.</li> <li><strong>Home ownership rate </strong>refers to the percentage of people who own the home where they live (own outright and with a morgage).</li> <li><strong>Housing costs as a percentage of disposable income</strong>&nbsp;considers the expenditure of households in housing - such as mortgages and rents - and maintenance of the house - including water, electricity, gas and other fuels, as well as furnishings, household equipment and routine maintenance of the house.</li> </ul> <p>Data sources are detailled in&nbsp;<a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/sources-and-data-description_1e03fb78.html#annex-d1e11923-5bd726c153">OECD Regions and Cities at a Glance 2024 - Annex B</a></p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org">Housing - Regions</a>),&nbsp;<a href="\&quot;http://oe.cd/geostats\&quot;">http://oe.cd/geostats</a>.</p> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY NOT_DISPLAYED REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8,MEASURE=PR_INC_DISP_PL_50 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Income inequality - Regions Inégalité de revenu - Régions <p style="text-align: justify;">This dataset provides statistics on income inequalities in subnational regions. Indicators include relative poverty rate and S80/S20 income ratio.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Relative poverty rate&nbsp;</strong>(by gender) is the share of people - as a percentage of the total population&nbsp;- living in households with a disposable income below the relative poverty line (50% of the national median disposable income).&nbsp;</li> <li><strong>S80/S20 ratio</strong>&nbsp;is the total income received by the 20% of the people with the highest income in a region divided by the total income received by the 20% of people with the lowest income in the same region.</li> </ul> <p>Data sources are detailled in&nbsp;<a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/sources-and-data-description_1e03fb78.html#annex-d1e11923-5bd726c153">OECD Regions and Cities at a Glance 2024 - Annex B</a></p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/11w">Income inequalities - Regions</a>),&nbsp;<a href="\&quot;http://oe.cd/geostats\&quot;">http://oe.cd/geostats</a>.</p> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de donn&eacute;es fournit des statistiques sur les in&eacute;galit&eacute;s de revenus dans les grandes r&eacute;gions (TL2). Les indicateurs incluent le taux de pauvret&eacute; relative et le ratio de revenus S80/S20.</p> <p><strong>D&eacute;finition des donn&eacute;es et sources</strong></p> <ul> <li><strong>Taux de pauvret&eacute; relative&nbsp;</strong>(par genre) : proportion de personnes, exprim&eacute;e en pourcentage de la population totale, vivant dans des m&eacute;nages avec un revenu disponible inf&eacute;rieur au seuil de pauvret&eacute; relative (50 % du revenu m&eacute;dian disponible national).</li> <li><strong>Ratio S80/S20</strong>&nbsp;: rapport entre le revenu total des 20 % des personnes les plus riches d&rsquo;une r&eacute;gion et le revenu total des 20 % des personnes les plus pauvres dans cette m&ecirc;me r&eacute;gion.</li> </ul> <p>Les sources des donn&eacute;es sont d&eacute;taill&eacute;es dans&nbsp;<a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/sources-and-data-description_1e03fb78-5bd726c153">Panorama des r&eacute;gions et des villes de l'OCDE 2024 - Annexe B</a>.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s infranationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l&rsquo;OCDE comptent deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l&rsquo;OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l&rsquo;OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Base de donn&eacute;es sur les r&eacute;gions, villes et zones locales de l'OCDE (<a href="http://data-explorer.oecd.org/s/11w">In&eacute;galit&eacute;s de revenus - R&eacute;gions</a>),&nbsp;<a href="\&quot;http://oe.cd/geostats\&quot;">http://oe.cd/geostats</a>.</p> <p>Contact :&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z) NOT_DISPLAYED MEASURE=HOMIC,UNIT_MEASURE=CS_10P5PS,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Safety - Regions Sécurité - Régions <p>This dataset provides statistics on safety in subnational regions. It covers homicide rates, motor vehicle thefts and mortality rates due to transport in regions.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Homicide rates</strong>&nbsp;total and women) refers to the number intentional homicides per 100,000 inhabitants in a given year. Intentional homicides are defined as unlawful killings deliberately inflicted on one person by another.</li> <li><strong><strong>Motor vehicle theft rate&nbsp;</strong></strong>refers to the number of motor vehicles reported stolen (theft or attempted theft) per 100,000 inhabitants in a given year.&nbsp;A motor vehicle is a self-propelled vehicle that runs on land surfaces and not on rails.</li> <li><strong>Transport related mortality rate </strong>is the number of deaths attributed to transport accidents (in the groups V01-V99 of the International Classification of Deseases - ICS) per 100,000 inhabitants.</li> </ul> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a>(</a><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">pdf</a><a>)</a> and in the OECD Territorial correspondence table <a>(</a><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">xlsx</a><a>)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org">Safety - Regions</a>),&nbsp;<a href="\&quot;http://oe.cd/geostats\&quot;">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>This dataset provides statistics on safety in subnational regions. It covers homicide rates, motor vehicle thefts and mortality rates due to transport in regions.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Homicide rates</strong>&nbsp;total and women) refers to the number intentional homicides per 100,000 inhabitants in a given year. Intentional homicides are defined as unlawful killings deliberately inflicted on one person by another.</li> <li><strong><strong>Motor vehicle theft rate&nbsp;</strong></strong>refers to the number of motor vehicles reported stolen (theft or attempted theft) per 100,000 inhabitants in a given year.&nbsp;A motor vehicle is a self-propelled vehicle that runs on land surfaces and not on rails.</li> <li><strong>Transport related mortality rate </strong>is the number of deaths attributed to transport accidents (in the groups V01-V99 of the International Classification of Deseases - ICS) per 100,000 inhabitants.</li> </ul> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a>(</a><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">pdf</a><a>)</a> and in the OECD Territorial correspondence table <a>(</a><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">xlsx</a><a>)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org">Safety - Regions</a>),&nbsp;<a href="\&quot;http://oe.cd/geostats\&quot;">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY NOT_DISPLAYED REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Social statistics - Regions Statistiques sociales - Régions <p style="text-align: justify;">This dataset provides social statistics in regions. is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the &lsquo;Developer API query builder&rsquo;, click on the &lsquo;Developer API&rsquo; button above.</p> <p style="text-align: justify;">The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left.<br /><br />To get started check the&nbsp;<a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a></p> <p><strong>Indicators covered</strong></p> <p>Safety - Regions<br />Civic engagement - Regions<br />Private road vehicles - Regions<br />Housing - Regions<br />Income inequality - Regions</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org">Social statistics - Regions</a>),&nbsp;<a href="\&quot;http://oe.cd/geostats\&quot;">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">This dataset provides social statistics in regions. is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the &lsquo;Developer API query builder&rsquo;, click on the &lsquo;Developer API&rsquo; button above.</p> <p style="text-align: justify;">The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left.<br /><br />To get started check the&nbsp;<a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a></p> <p><strong>Indicators covered</strong></p> <p>Safety - Regions<br />Civic engagement - Regions<br />Private road vehicles - Regions<br />Housing - Regions<br />Income inequality - Regions</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org">Social statistics - Regions</a>),&nbsp;<a href="\&quot;http://oe.cd/geostats\&quot;">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z) NOT_DISPLAYED MEASURE=VEH_STOCK_TOTAL,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Private road vehicles - Regions Véhicules - Régions <p>This dataset provides statistics on passenger private road motor vehicles by type of engine, in subnational regions.</p> <p><strong>Data definition&nbsp;</strong></p> <p>A road motor vehicle is defined here as a vehicle other than a motorcycle, intended for the carriage of passengers and designed to seat no more than nine persons including the driver. The term passenger car therefore covers micro-cars (do not need a permit to be driven), taxis and hired passenger cars, provided that they have fewer than ten seats. This category may also include pick-ups.</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a>(</a><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">pdf</a><a>)</a> and in the OECD Territorial correspondence table <a>(</a><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">xlsx</a><a>)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org">Private road vehicles - Regions</a>),&nbsp;<a href="\&quot;http://oe.cd/geostats\&quot;">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>This dataset provides statistics on passenger private road motor vehicles by type of engine, in subnational regions.</p> <p><strong>Data definition&nbsp;</strong></p> <p>A road motor vehicle is defined here as a vehicle other than a motorcycle, intended for the carriage of passengers and designed to seat no more than nine persons including the driver. The term passenger car therefore covers micro-cars (do not need a permit to be driven), taxis and hired passenger cars, provided that they have fewer than ten seats. This category may also include pick-ups.</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a>(</a><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">pdf</a><a>)</a> and in the OECD Territorial correspondence table <a>(</a><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">xlsx</a><a>)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org">Private road vehicles - Regions</a>),&nbsp;<a href="\&quot;http://oe.cd/geostats\&quot;">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z) NOT_DISPLAYED MEASURE=VOTERS_RATE,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Civic engagement - Regions Engagement civique - Régions <p>This dataset provides statistics on&nbsp;voter turnout to general elections (percentage of registered voters who voted) in subnational regions.</p> <p>&nbsp;<strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a>(</a><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">pdf</a><a>)</a> and in the OECD Territorial correspondence table <a>(</a><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">xlsx</a><a>)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org">Civic engagement - Regions</a>),&nbsp;<a href="\&quot;http://oe.cd/geostats\&quot;">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p>This dataset provides statistics on&nbsp;voter turnout to general elections (percentage of registered voters who voted) in subnational regions.</p> <p>&nbsp;<strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a>(</a><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">pdf</a><a>)</a> and in the OECD Territorial correspondence table <a>(</a><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">xlsx</a><a>)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org">Civic engagement - Regions</a>),&nbsp;<a href="\&quot;http://oe.cd/geostats\&quot;">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW UNIT_MEASURE,COFOG LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,UNIT_MEASURE=PT_EXP+PT_P5L,COFOG=GF01+GF02+GF03+GF04+GF05+GF06+GF07+GF08+GF09+GF10+_TXGF01_04_05_06_09 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government expenditure by functional classification (COFOG) Dépenses des collectivités territoriales, par fonction de gouvernement (COFOG) This dataset includes data for 2021, on total expenditure of subnational governments by functions, based on the Classification of the Functions of Government (COFOG). The COFOG includes ten categories: general public services; defence; public order and safety; economic affairs; environmental protection; housing and community amenities; health; recreation, culture and religion; education; and social protection.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).<br/><br/>The data is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend les dépenses des collectivités territoriales, pour 2021, par fonction, sur la base de la classification des fonctions des administrations publiques (COFOG). Le COFOG comprend dix catégories : services publics généraux ; défense ; ordre et sécurité publics ; affaires économiques ; protection de l'environnement ; logement et équipements collectifs ; santé ; loisirs, culture et religion ; éducation ; et protection sociale.<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous<br/><br/>.La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour les pays fédéraux et quasi-fédéraux).<br/><br/>La base inclut des données pour l'année 2022 (ou la dernière année disponible), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW UNIT_MEASURE,COFOG LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,UNIT_MEASURE=PT_EXP+PT_P5L,COFOG=GF01+GF02+GF03+GF04+GF05+GF06+GF07+GF08+GF09+GF10+_TXGF01_04_05_06_09 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government investment by functional classification (COFOG) Investissements des collectivités territoriales, par fonction de gouvernement (COFOG) This dataset includes data for 2021 on direct investment of subnational governments by functions, based on the Classification of the Functions of Government (COFOG) of the National Accounts. The COFOG includes ten categories: general public services; defence; public order and safety; economic affairs; environmental protection; housing and community amenities; health; recreation, culture and religion; education; and social protection.<br/><br/>This dataset provides data for general public services; economic affairs; environmental protection; housing and community amenities; education; and "other" (which includes: defence; public order and safety; health; recreation, culture and religion; and social protection).<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).<br/><br/>The data is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend les investissements directs des collectivités territoriales, pour 2021, par fonction, sur la base de la classification des fonctions des administrations publiques (COFOG). Le COFOG comprend dix catégories : services publics généraux ; défense ; ordre et sécurité publics ; affaires économiques ; protection de l'environnement ; logement et équipements collectifs ; santé ; loisirs, culture et religion ; éducation ; et protection sociale.<br/><br/>Cette base de données comprend services publics généraux ; affaires économiques ; protection de l'environnement ; logement et équipements collectifs ; éducation ; et "autres" (défense ; ordre et sécurité publics ; santé ; loisirs, culture et religion ; et protection sociale).<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour les pays fédéraux et quasi-fédéraux).<br/><br/>La base inclut des données pour l'année 2022 (ou la dernière année disponible), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2022,TIME_PERIOD_END=2022 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government budget balance and debt Solde budgétaire et dette des collectivités territoriales This dataset includes subnational government debt expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, and percentage of total public debt.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).<br/><br/>The data is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend la dette totale des collectivités territoriales, exprimées en différentes unités : dollars US PPP, dollars US PPP par habitant, pourcentage du PIB, et pourcentage de ka dette publique totale.<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour les pays fédéraux et quasi-fédéraux).<br/><br/>La base inclut des données pour l'année 2022 (ou la dernière année disponible), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2022 DEFAULT Subnational government structure and finance: socio-economic indicators Structure et Finances des Collectivités Territoriales : indicateurs socio-économiques This dataset includes overall socio-economic indicators such as GDP and GDP growth rate, population, and land area (corresponding to Total Surface Area).<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).<br/><br/>The data is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend des indicateurs socio-économiques clés sur les pays de l’OCDE tels que le PIB, le taux de croissance du PIB, la population et la superficie (correspondant à la surface totale). Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour les pays fédéraux et quasi-fédéraux). <br/><br/>La base inclut des données pour l'année 2022 (ou la dernière année disponible), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2022,TIME_PERIOD_END=2022 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government expenditure Dépenses des collectivités territoriales This dataset includes subnational government expenditure expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, and percentage of total public expenditure.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).<br/><br/>The data is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend les dépenses totales des collectivités territoriales exprimées en différentes unités : dollars US PPP, dollars US PPP par habitant, pourcentage du PIB, et pourcentage des dépenses publiques totales. <br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour les pays fédéraux et quasi-fédéraux). <br/><br/>La base inclut des données pour l'année 2022 (ou la dernière année disponible), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW UNIT_MEASURE,MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,MEASURE=E111+E112+E113+E116+E12+E14+E13,UNIT_MEASURE=PT_EXP DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government expenditure by economic classification Dépenses des collectivités territoriales, par classification économique This dataset includes sub-categories of expenditure by economic classification based on the System of National Accounts. It distinguishes between current expenditure (inclduing compensation of employees, current social expenditures, subsidies and current transfers) and capital expenditure (including direct investment).<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).<br/><br/>The data is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend des sous-catégories de dépenses par classification économique, suivant le système de comptabilité nationale. Il distingue les dépenses courantes (y compris la rémunération des salariés, les dépenses sociales courantes, les subventions et les transferts courants) et les dépenses en capital (y compris les investissements directs).<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour les pays fédéraux et quasi-fédéraux).<br/><br/>La base inclut des données pour l'année 2022 (ou la dernière année disponible), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,MEASURE=E121 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government investment Investissement des collectivités territoriales This dataset includes subnational government investment expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, and percentage of total public investment.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).<br/><br/>The data is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend les investissements totaux des collectivités territoriales, exprimées en différentes unités : dollars US PPP, dollars US PPP par habitant, pourcentage du PIB, et pourcentage des investissements publics totaux.<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour les pays fédéraux et quasi-fédéraux).<br/><br/>La base inclut des données pour l'année 2022 (ou la dernière année disponible), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2022,TIME_PERIOD_END=2022 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government revenue Recettes des collectivités territoriales This dataset includes subnational government revenue expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, and percentage of total public revenue.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).<br/><br/>The data is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend les recettes totales des collectivités territoriales, exprimées en différentes unités : dollars US PPP, dollars US PPP par habitant, pourcentage du PIB, et pourcentage des recettes publiques totales.<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour les pays fédéraux et quasi-fédéraux).<br/><br/>La base inclut des données pour l'année 2022 (ou la dernière année disponible), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,MEASURE=R11+R12+R13+R14+R16 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government revenue by category Recettes des collectivités territoriales par catégories This dataset includes sub-categories of revenue based on the System of National Accounts, including tax revenue, grants and subsidies, tariffs and fees, property income, and social contributions.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).<br/><br/>The data is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend plusieurs sous-catégories de recettes, suivant le système de comptabilité nationale. Elle distingue les recettes fiscales, les transferts et subventions, les tarifs et redevances, les revenus issus de la propriété et les cotisations sociales.<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour les pays fédéraux et quasi-fédéraux).<br/><br/>La base inclut des données pour l'année 2022 (ou la dernière année disponible), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2022,TIME_PERIOD_END=2022 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Number of subnational governments Nombre de collectivités territoriales This dataset includes data on the number of subnational governments in each country, distinguishing between municipal, intermediate and regional governments (when relevant).<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).<br/><br/>The data is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend le nombre de collectivités territoriales dans chaque pays, en distinguant les gouvernements municipaux, intermédiaires et régionaux (le cas échéant).<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour les pays fédéraux et quasi-fédéraux).<br/><br/>La base inclut des données mises à jour au 1er janvier 2024 (sauf mention contraire), pour les 38 pays membres de l'OCDE.<br/><br/>Les données sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,SIZE_CLASS=S0T1999+S2000T4999+S5000T19999+S_GE20000+_Z DEFAULT COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION,SIZE_CLASS COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Municipal level government by population size Municipalités en fonction du nombre d’habitants This dataset includes data on average and median municipal population size, and the share of municipalities by size classes, distinguishing between the following categories: less than 2 000 inhabitants, between 2 000 and 4 999 inhabitants, between 5 000 and 19 999 inhabitants, and more than 20 000 inhabitants.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).<br/><br/>The data is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend les tailles moyenne et médiane du niveau municipal dans chaque pays en termes de population, et la répartition des municipalités selon leur nombre d’habitants (distinguant les municipalités de moins de 2 000 habitants, entre 2 000 et 4 999 habitants, entre 5 000 et 19 999 habitants, et de plus de 20 000 habitants).<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour les pays fédéraux et quasi-fédéraux).<br/><br/>La base inclut des données mises à jour au 1er janvier 2024 (sauf mention contraire), pour les 38 pays membres de l'OCDE.<br/><br/>Les données sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,MEASURE=R11 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational tax revenue Recettes fiscales des collectivités territoriales This dataset includes subnational government tax revenue expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, and percentage of total public tax revenue.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).<br/><br/>The data is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend les recettes fiscales totales des collectivités territoriales, exprimées en différentes unités : dollars US PPP, dollars US PPP par habitant, pourcentage du PIB, et pourcentage des recettes fiscales publiques totales.<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour les pays fédéraux et quasi-fédéraux).<br/><br/>La base inclut des données pour l'année 2022 (ou la dernière année disponible), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2024.pdf/_jcr_content/renditions/original./subnational-governments-infrastructure-finance-2024.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD,SECTOR,UNIT_MEASURE,COFOG LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,UNIT_MEASURE=XDC,COFOG=_Z DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR(1.0).H,COFOG:OECD.CFE.RDG:HCL_COFOG(1.0).H HIER_CONTEXT EXT_RESOURCE Disaggregated municipal finance data - All countries|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1d74929b-d79e-4000-b448-d554d62737eb Disaggregated municipal finance data - All countries|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1d74929b-d79e-4000-b448-d554d62737eb EXT_RESOURCE Disaggregated municipal finance data - Austria|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e269b73b-f1b7-4426-b00a-0384ceae1c25 Disaggregated municipal finance data - Austria|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e269b73b-f1b7-4426-b00a-0384ceae1c25 EXT_RESOURCE Disaggregated municipal finance data - Chile|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b98af2c7-5e53-4d3a-ad44-82e889f30465 Disaggregated municipal finance data - Chile|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b98af2c7-5e53-4d3a-ad44-82e889f30465 EXT_RESOURCE Disaggregated municipal finance data - Colombia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c735a60c-e4c0-4b5c-ab15-a9ba54c73bf6 Disaggregated municipal finance data - Colombia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c735a60c-e4c0-4b5c-ab15-a9ba54c73bf6 EXT_RESOURCE Disaggregated municipal finance data - Croatia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0866f3e3-f2cd-4a62-bfe0-3ee90fc9ec58 Disaggregated municipal finance data - Croatia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0866f3e3-f2cd-4a62-bfe0-3ee90fc9ec58 EXT_RESOURCE Disaggregated municipal finance data - Czechia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0579c66b-e48e-486c-af36-696660347736 Disaggregated municipal finance data - Czechia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0579c66b-e48e-486c-af36-696660347736 EXT_RESOURCE Disaggregated municipal finance data - Denmark|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21ab4270-0436-41f0-8ef0-9fb7e2f6ef08 Disaggregated municipal finance data - Denmark|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21ab4270-0436-41f0-8ef0-9fb7e2f6ef08 EXT_RESOURCE Disaggregated municipal finance data - Estonia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6a24ba09-b594-49ca-a896-76cae11313d7 Disaggregated municipal finance data - Estonia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6a24ba09-b594-49ca-a896-76cae11313d7 EXT_RESOURCE Disaggregated municipal finance data - Finland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=27b837b9-44c9-4a84-9759-b22fb7bd45d9 Disaggregated municipal finance data - Finland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=27b837b9-44c9-4a84-9759-b22fb7bd45d9 EXT_RESOURCE Disaggregated municipal finance data - France|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d1d29859-65e9-4ccb-98b3-eba27a7f4d15 Disaggregated municipal finance data - France|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d1d29859-65e9-4ccb-98b3-eba27a7f4d15 EXT_RESOURCE Disaggregated municipal finance data - Hungary|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=275170a8-a37a-4b9c-904a-e232017cca2c Disaggregated municipal finance data - Hungary|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=275170a8-a37a-4b9c-904a-e232017cca2c EXT_RESOURCE Disaggregated municipal finance data - Iceland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a328f9c6-40b4-4eeb-8c49-1bbfe748a2c0 Disaggregated municipal finance data - Iceland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a328f9c6-40b4-4eeb-8c49-1bbfe748a2c0 EXT_RESOURCE Disaggregated municipal finance data - Italy|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=34787821-5eb9-46c3-89bf-a4739865f88b Disaggregated municipal finance data - Italy|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=34787821-5eb9-46c3-89bf-a4739865f88b EXT_RESOURCE Disaggregated municipal finance data - Korea Republic|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ec6e50e6-7259-4c60-9230-7623c05649b2 Disaggregated municipal finance data - Korea Republic|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ec6e50e6-7259-4c60-9230-7623c05649b2 EXT_RESOURCE Disaggregated municipal finance data - Latvia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9b0e7b26-51e2-491b-ae1c-125a4250999c Disaggregated municipal finance data - Latvia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9b0e7b26-51e2-491b-ae1c-125a4250999c EXT_RESOURCE Disaggregated municipal finance data - Lithuania|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=423562ae-b7b9-4967-a40b-3b15e3eeb49b Disaggregated municipal finance data - Lithuania|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=423562ae-b7b9-4967-a40b-3b15e3eeb49b EXT_RESOURCE Disaggregated municipal finance data - Malta|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b3f4e49a-17e9-44a5-bcc5-951393768efa Disaggregated municipal finance data - Malta|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b3f4e49a-17e9-44a5-bcc5-951393768efa EXT_RESOURCE Disaggregated municipal finance data - Mexico|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2f22529f-2942-4579-9054-6f0bd241e2eb Disaggregated municipal finance data - Mexico|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2f22529f-2942-4579-9054-6f0bd241e2eb EXT_RESOURCE Disaggregated municipal finance data - Netherlands|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c0594706-727e-453c-92e6-cbe51d7ff770 Disaggregated municipal finance data - Netherlands|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c0594706-727e-453c-92e6-cbe51d7ff770 EXT_RESOURCE Disaggregated municipal finance data - New Zealand|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b86339c3-9d87-41fe-92bf-3ba3f6ae7f0e Disaggregated municipal finance data - New Zealand|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b86339c3-9d87-41fe-92bf-3ba3f6ae7f0e EXT_RESOURCE Disaggregated municipal finance data - Norway|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=abf779ca-e776-4d06-9781-4f61ab8b379f Disaggregated municipal finance data - Norway|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=abf779ca-e776-4d06-9781-4f61ab8b379f EXT_RESOURCE Disaggregated municipal finance data - Poland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0f6f56fe-32a6-4b9c-a97c-55f79c1b7d3a Disaggregated municipal finance data - Poland|https:/stats.oecd.org/wbos/fileview2.aspx?IDFile=0f6f56fe-32a6-4b9c-a97c-55f79c1b7d3a EXT_RESOURCE Disaggregated municipal finance data - Portugal|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6988403c-29aa-4223-a866-32a2381bb936 Disaggregated municipal finance data - Portugal|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6988403c-29aa-4223-a866-32a2381bb936 EXT_RESOURCE Disaggregated municipal finance data - Romania|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ff908b04-1844-4f36-a060-859d91edaec9 Disaggregated municipal finance data - Romania|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ff908b04-1844-4f36-a060-859d91edaec9 EXT_RESOURCE Disaggregated municipal finance data - Slovenia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d53b0b0b-c43c-43b7-af43-f81ba22123ca Disaggregated municipal finance data - Slovenia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d53b0b0b-c43c-43b7-af43-f81ba22123ca EXT_RESOURCE Disaggregated municipal finance data - Spain|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=348d0431-bc1b-4356-9af2-fb998954ac52 Disaggregated municipal finance data - Spain|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=348d0431-bc1b-4356-9af2-fb998954ac52 EXT_RESOURCE Disaggregated municipal finance data - Sweden|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4cb9f6d3-3366-4a23-9507-48d9cc6c3387 Disaggregated municipal finance data - Sweden|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4cb9f6d3-3366-4a23-9507-48d9cc6c3387 EXT_RESOURCE Disaggregated municipal finance data - Switzerland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=95d1c287-805b-42d5-866f-4079482aa160 Disaggregated municipal finance data - Switzerland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=95d1c287-805b-42d5-866f-4079482aa160 EXT_RESOURCE Disaggregated municipal finance data - United States|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6aa1b32b-88ed-4564-9a10-777492c06daa Disaggregated municipal finance data - United States|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6aa1b32b-88ed-4564-9a10-777492c06daa Aggregated and disaggregated municipal government finance Finances des gouvernements municipaux – agrégés et désagrégés The aggregated municipal government finance database (Aggregated MUNIFI) provides a selection of indicators on expenditure, revenue, and debt for the entire municipal government sector in OECD and EU countries. It is complemented by disaggregated data, that is data for each municipality in a given country, which can be downloaded directly from the links below. <br/><br/>The time coverage ranges from 2010 to 2022 (based on data availability). This database has been produced in the context of the OECD/EU joint project <a href="https://www.oecd.org/regional/multi-level-governance/strengtheninganalyticalframeworksanddataonsubnationalgovernmentfinanceandpublicemployment.htm">Strengthening analytical frameworks and data on subnational government finance and public employment</a> with the goal of collecting, standardising, and disseminating high-quality comparable data for local government finance and employment. <br/><br/>This data provides information to assess the capacities and decision-making power of municipalities and regions, whose role is essential in developing place-based policy. It also allows for within and cross-country comparisons, which sheds light on the disparities between subnational governments in terms of fulfilling their mandates and their ability to raise own-source revenue. You will find more information on subnational government responsibilities in the <a href="https://www.sng-wofi.org/country-profiles/">World Observatory on Subnational Government Finance and Investment.</a> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD,SECTOR,UNIT_MEASURE,COFOG LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,UNIT_MEASURE=XDC,COFOG=_Z DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR(1.0).H,COFOG:OECD.CFE.RDG:HCL_COFOG(1.0).H HIER_CONTEXT Aggregated regional government finance Finances des gouvernements régionaux - agrégés The aggregated regional government finance database (Aggregated REGOFI) provides a selection of indicators on expenditure, revenue, and debt for the entire regional government sector in OECD and EU countries.<br/><br/>The time coverage ranges from 2010 to 2022 (based on data availability). This database has been produced in the context of the OECD/EU joint project <a href="https://www.oecd.org/regional/multi-level-governance/strengtheninganalyticalframeworksanddataonsubnationalgovernmentfinanceandpublicemployment.htm">Strengthening analytical frameworks and data on subnational government finance and public employment</a> with the goal of collecting, standardising, and disseminating high-quality comparable data for local government finance and employment. <br/><br/>This data provides information to assess the capacities and decision-making power of municipalities and regions, whose role is essential in developing place-based policy. It also allows for within and cross-country comparisons, which sheds light on the disparities between subnational governments in terms of fulfilling their mandates and their ability to raise own-source revenue. You will find more information on subnational government responsibilities in the <a href="https://www.sng-wofi.org/country-profiles/">World Observatory on Subnational Government Finance and Investment.</a> NonProductionDataflow true REF_AREA,TIME_PERIOD,SECTOR LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,TIME_PERIOD_END=2019,SECTOR=S1313+S1312,UNIT_MEASURE=XDC,PRICE_BASE=R+_Z,UNIT_MEASURE=USD_PPP_PS+PT_B1GQ+PT_OTE_S13_TRANSACT+PT_OTE_S13M_TRANSACT DEFAULT COMBINED_UNIT_MEASURE:PRICE_BASE,BASE_PER,UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.CFE.RDG:HCL_SECTOR_SNCF(1.0).H HIER_CONTEXT Subnational government climate finance Flux financiers des Gouvernements Infranationaux en lien avec le climat The Subnational Government Climate Finance database provides comparable data on subnational public climate-significant expenditure and investment, covering the years from 2001 to 2019, for 33 OECD and EU countries. <br/><br/>This database was built using a pioneer methodology that relies on a more refined approach to the COFOG classification. Using the EU taxonomy for sustainability activities, three first-level COFOG functions (economic affairs, environmental protection, and housing and community amenities) and 13 second-level COFOG functions (e.g. transport and energy, environmental protection, waste, water management, housing development) were identified as being “climate-significant”, meaning that expenditure and investment in these areas contributes, to some extent, to climate adaptation or mitigation objectives. <br/><br/>For more information on the methodology used and related work on climate finance tracking, please visit: <a href="https://www.oecd.org/en/about/projects/tracking-subnational-government-climate-expenditure.html">Tracking subnational government climate expenditure</a> <br/><br/>This database was developed in the framework of the project “Financing Climate Action in Regions and Cities”, a joint project between the OECD and the European Commission Directorate-General for Regional and Urban Policy (DG REGIO), launched in 2022. La base de données sur les Flux financiers des Gouvernements Infranationaux en lien avec le climat fournit des données comparatives sur les dépenses et les investissements des collectivités territoriales en lien avec le climat pour 33 pays de l’OCDE et de l’UE, sur une période allant de 2001 à 2019. <br/><br/>La base de données a été développée selon une méthodologie pionnière de l’OCDE, qui s'appuie sur une approche fine de la classification COFOG. En utilisant la Taxonomie Verte de l'UE, trois fonctions COFOG de niveau 1 (affaires économiques, protection de l'environnement, et logement et équipements collectifs) et 13 fonctions COFOG de niveau 2 (parmi lesquelles: transport et énergie, protection de l'environnement, déchets, gestion de l'eau, développement du logement, ...) ont été identifiées comme étant « significatives pour le climat », ce qui signifie que les dépenses et les investissements réalisés dans ces domaines contribuent, dans une certaine mesure, aux objectifs d'adaptation au climat ou d'atténuation de ses effets. <br/><br/>Cette base de données a été développée dans le cadre du projet conjoint entre l'OCDE et la DG REGIO de la Commission Européenne « Financer l'action climatique dans les régions et les villes », lancé en 2022. <br/><br/>Pour plus d'informations sur la méthodologie utilisée et les travaux connexes de l’OCDE sur la finance climat infranationale, vous pouvez visiter la page web : <a href="https://www.oecd.org/en/about/projects/tracking-subnational-government-climate-expenditure.html">Suivi des dépenses des collectivités territoriales liées au climat</a> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD,SECTOR,UNIT_MEASURE,COFOG LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AT11+AT21+AT12+AT32+AT22+AT33+AT31+AT13+AT34,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,UNIT_MEASURE=XDC,COFOG=_Z DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR(1.0).H,COFOG:OECD.CFE.RDG:HCL_COFOG(1.0).H HIER_CONTEXT Disaggregated regional government finance Finances des gouvernements régionaux – désagrégés The disaggregated regional government finance database (Disaggregated REGOFI) provides a selection of indicators on expenditure, revenue, and debt for individual regions in OECD and EU countries. <br/><br/>The time coverage ranges from 2010 to 2022 (based on data availability). This database has been produced in the context of the OECD/EU joint project <a href="https://www.oecd.org/regional/multi-level-governance/strengtheninganalyticalframeworksanddataonsubnationalgovernmentfinanceandpublicemployment.htm">Strengthening analytical frameworks and data on subnational government finance and public employment</a> with the goal of collecting, standardising, and disseminating high-quality comparable data for local government finance and employment. <br/><br/>This data provides information to assess the capacities and decision-making power of municipalities and regions, whose role is essential in developing place-based policy. It also allows for within and cross-country comparisons, which sheds light on the disparities between subnational governments in terms of fulfilling their mandates and their ability to raise own-source revenue. You will find more information on subnational government responsibilities in the <a href="https://www.sng-wofi.org/country-profiles/">World Observatory on Subnational Government Finance and Investment.</a> NonProductionDataflow true REG,REF_AREA LAYOUT_ROW COFOG,COMBINED_UNIT_MEASURE LAYOUT_COLUMN INCOME,FORM LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED COFOG=GF01+GF02+GF03+GF04+GF05+GF06+GF07+GF08+GF09+GF10,SECTOR=S13M,UNIT_MEASURE=USD_PPP_PS+PT_EXP_SECTOR DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SNG-WOFI: Subnational government functional expenditure (COFOG) SNG-WOFI : Dépenses des gouvernements infranationaux par fonctions (COFOG) This dataset includes data on total expenditure of subnational governments by functions, based on the Classification of the Functions of Government (COFOG). The COFOG includes ten categories: general public services; defence; public order and safety; economic affairs; environmental protection; housing and community amenities; health; recreation, culture and religion; education; and social protection.<br/><br/>The OECD/UCLG World Observatory on Subnational Government Finance and Investment (SNG-WOFI) initiative is the world's leading source of internationally comparable data and analysis on multi-level governance and subnational finance frameworks. The 2022 edition includes data from 135 countries, covering almost 90% of the world surface area, 93% of the world population and 94% of global GDP.<br/><br/>For more information, please visit our website <a href="https://www.sng-wofi.org/">World Observatory on Subnational Government Finance and Investment</a>. Cette base de données couvre les dépenses des gouvernements infranationaux par fonction, suivant la classification des fonctions des administrations publiques (COFOG), qui comprend dix catégories : services publics généraux ; défense ; ordre et sécurité publics ; affaires économiques ; protection de l'environnement ; logement et équipements collectifs ; santé ; loisirs, culture et religion ; éducation ; et protection sociale.<br/><br/>L'Observatoire mondial des finances et de l'investissement des collectivités territoriales (SNG-WOFI) de l'OCDE et de l'UCLG est l’une des plus grandes sources de données et d'analyses comparables sur la gouvernance pluri-niveaux et la décentralisation financière au niveau mondial.<br/><br/>L'édition 2022 comprend des données pour 135 pays, correspondant à près de 90 % de la superficie mondiale, 93 % de la population mondiale et 94 % du PIB mondial.<br/><br/>Pour plus d'informations, vous pouvez consulter le site web du SNG-WOFI : <a href="https://www.sng-wofi.org/fr">Observatoire Mondial des Finances et de l'Investissement des Collectivités Territoriales - Organisation de coopération et de développement économiques</a>. NonProductionDataflow true REG,REF_AREA LAYOUT_ROW MEASURE,COMBINED_UNIT_MEASURE LAYOUT_COLUMN INCOME,FORM LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED MEASURE=E1+E111+E121+R1+R11+R12+D1,SECTOR=S13M,UNIT_MEASURE=USD_PPP_PS+PT_B1GQ+PT_OTE_S13_TRANSACT+PT_OTR_S13_CAT+PT_FD4_S13_INST DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SNG-WOFI: Subnational government expenditure, revenue and debt SNG-WOFI : Dépenses, recettes et debt des gouvernements infranationaux This dataset includes data on the main public finance indicators at the subnational level, including expenditure by economic classification, revenue by category, and debt by instrument.<br/><br/>The OECD/UCLG World Observatory on Subnational Government Finance and Investment (SNG-WOFI) initiative is the world's leading source of internationally comparable data and analysis on multi-level governance and subnational finance frameworks. The 2022 edition includes data from 135 countries, covering almost 90% of the world surface area, 93% of the world population and 94% of global GDP.<br/><br/>For more information, please visit our website <a href="https://www.sng-wofi.org/">World Observatory on Subnational Government Finance and Investment</a>. Cette base de données couvre les principaux indicateurs de finances publiques au niveau infranational, incluant les dépenses infranationales par classification économique, les recettes infranationales par catégorie (e.g. recettes fiscales, transferts et subventions) et la dette infranationale.<br/><br/>L'Observatoire mondial des finances et de l'investissement des collectivités territoriales (SNG-WOFI) de l'OCDE et de l'UCLG est l’une des plus grandes sources de données et d'analyses comparables sur la gouvernance pluri-niveaux et la décentralisation financière au niveau mondial.<br/><br/>L'édition 2022 comprend des données pour 135 pays, correspondant à près de 90 % de la superficie mondiale, 93 % de la population mondiale et 94 % du PIB mondial.<br/><br/>Pour plus d'informations, vous pouvez consulter le site web du SNG-WOFI : <a href="https://www.sng-wofi.org/fr">Observatoire Mondial des Finances et de l'Investissement des Collectivités Territoriales - Organisation de coopération et de développement économiques</a>. NonProductionDataflow true REG,REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN INCOME,FORM LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée SNG-WOFI: Number of subnational governments and municipality size SNG-WOFI : Structure des gouvernements infranationaux This dataset includes data on the size of municipalities and the number of subnational governments in each country, distinguishing between municipal, intermediate and regional governments (when relevant).<br/><br/>The OECD/UCLG World Observatory on Subnational Government Finance and Investment (SNG-WOFI) initiative is the world's leading source of internationally comparable data and analysis on multi-level governance and subnational finance frameworks. The 2022 edition includes data from 135 countries, covering almost 90% of the world surface area, 93% of the world population and 94% of global GDP.<br/><br/>For more information, please visit our website <a href="https://www.sng-wofi.org/">World Observatory on Subnational Government Finance and Investment</a>. Cette base de données dénombre les gouvernements infranationaux dans les 135 pays couverts par l’Observatoire - en faisant la distinction entre les niveaux municipaux, intermédiaires et régionaux (le cas échéant) -, et fournit des données sur la taille moyenne des municipalités.<br/><br/>L'Observatoire mondial des finances et de l'investissement des collectivités territoriales (SNG-WOFI) de l'OCDE et de l'UCLG est l’une des plus grandes sources de données et d'analyses comparables sur la gouvernance pluri-niveaux et la décentralisation financière au niveau mondial.<br/><br/>L'édition 2022 comprend des données pour 135 pays, correspondant à près de 90 % de la superficie mondiale, 93 % de la population mondiale et 94 % du PIB mondial.<br/><br/>Pour plus d'informations, vous pouvez consulter le site web du SNG-WOFI : <a href="https://www.sng-wofi.org/fr">Observatoire Mondial des Finances et de l'Investissement des Collectivités Territoriales - Organisation de coopération et de développement économiques</a>. NonProductionDataflow true REG,REF_AREA LAYOUT_ROW MEASURE,COMBINED_UNIT_MEASURE LAYOUT_COLUMN INCOME,FORM LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SNG-WOFI: Basic socio-economic indicators SNG-WOFI : Indicateurs socio-économiques basiques This dataset includes overall socio-economic indicators such as GDP, HDI, investment, unemployment, population, and land area (corresponding to Total Surface Area).<br/><br/>The OECD/UCLG World Observatory on Subnational Government Finance and Investment (SNG-WOFI) initiative is the world's leading source of internationally comparable data and analysis on multi-level governance and subnational finance frameworks. The 2022 edition includes data from 135 countries, covering almost 90% of the world surface area, 93% of the world population and 94% of global GDP.<br/><br/>For more information, please visit our website <a href="https://www.sng-wofi.org/">World Observatory on Subnational Government Finance and Investment</a>. Cette base de données comprend des indicateurs socio-économiques tels que la population, la superficie, la part et le taux de croissance de la population urbaine, le PIB, l'Indice de Développement Humain (IDH), ou encore la Formation Brute de Capital Fixe.<br/><br/>L'Observatoire mondial des finances et de l'investissement des collectivités territoriales (SNG-WOFI) de l'OCDE et de l'UCLG est l’une des plus grandes sources de données et d'analyses comparables sur la gouvernance pluri-niveaux et la décentralisation financière au niveau mondial.<br/><br/>L'édition 2022 comprend des données pour 135 pays, correspondant à près de 90 % de la superficie mondiale, 93 % de la population mondiale et 94 % du PIB mondial.<br/><br/>Pour plus d'informations, vous pouvez consulter le site web du SNG-WOFI : <a href="https://www.sng-wofi.org/fr">Observatoire Mondial des Finances et de l'Investissement des Collectivités Territoriales - Organisation de coopération et de développement économiques</a>. NonProductionDataflow true AGE,OCCUPATION,ATTAINMENT_LEV,CONTRACT,WORK_TIME_ARNGMNT LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN REF_AREA,SECTOR,COFOG LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED COFOG=_T,SEX=_T+F+M,MEASURE=SNPE,AGE=_T,ATTAINMENT_LEV=_T,OCCUPATION=_T,CONTRACT=_T,WORK_TIME_ARNGMNT=_T,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR(1.0).H,WORK_TIME_ARNGMNT:OECD.CFE.RDG:HCL_WORK_TIME_ARNGMNT(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,AGE,OCCUPATION,ATTAINMENT_LEV,CONTRACT,WORK_TIME_ARNGMNT COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée EXT_RESOURCE Disaggregated subnational public employment data - All countries|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=32d751be-60dc-477b-9d77-aeb6b9dda1fc Disaggregated subnational public employment data - All countries|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=32d751be-60dc-477b-9d77-aeb6b9dda1fc EXT_RESOURCE Disaggregated subnational public employment data - Australia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d3a560fa-42c3-4e4e-9c76-abd4bb573a13 Disaggregated subnational public employment data - Australia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d3a560fa-42c3-4e4e-9c76-abd4bb573a13 EXT_RESOURCE Disaggregated subnational public employment data - Austria|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=77cdf521-361d-4d85-8e81-9d97195d5b39 Disaggregated subnational public employment data - Austria|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=77cdf521-361d-4d85-8e81-9d97195d5b39 EXT_RESOURCE Disaggregated subnational public employment data - Belgium|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6debee1e-fe8d-4a14-8539-47cadd30aede Disaggregated subnational public employment data - Belgium|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6debee1e-fe8d-4a14-8539-47cadd30aede EXT_RESOURCE Disaggregated subnational public employment data - Canada|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2565723-4422-4635-b79b-e664693e0a42 Disaggregated subnational public employment data - Canada|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2565723-4422-4635-b79b-e664693e0a42 EXT_RESOURCE Disaggregated subnational public employment data - Chile|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6813bf18-9eb5-4ff2-ba6d-45ff06b91424 Disaggregated subnational public employment data - Chile|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6813bf18-9eb5-4ff2-ba6d-45ff06b91424 EXT_RESOURCE Disaggregated subnational public employment data - Estonia|https:/stats.oecd.org/wbos/fileview2.aspx?IDFile=8820a7ed-83b4-4485-ad95-d3342e29256c Disaggregated subnational public employment data - Estonia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8820a7ed-83b4-4485-ad95-d3342e29256c EXT_RESOURCE Disaggregated subnational public employment data - Finland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ffe08f90-7452-4bc9-8943-d840ee8bf650 Disaggregated subnational public employment data - Finland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ffe08f90-7452-4bc9-8943-d840ee8bf650 EXT_RESOURCE Disaggregated subnational public employment data - Ireland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed162739-2076-43b0-bf57-7cf803954b57 Disaggregated subnational public employment data - Ireland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed162739-2076-43b0-bf57-7cf803954b57 EXT_RESOURCE Disaggregated subnational public employment data - Italy|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=484405b1-fef9-4ba0-9daf-7ac514e1d799 Disaggregated subnational public employment data - Italy|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=484405b1-fef9-4ba0-9daf-7ac514e1d799 EXT_RESOURCE Disaggregated subnational public employment data - Korea|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=672d33aa-9cd5-4e9e-9d78-d2a22aa0a824 Disaggregated subnational public employment data - Korea|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=672d33aa-9cd5-4e9e-9d78-d2a22aa0a824 EXT_RESOURCE Disaggregated subnational public employment data - Latvia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=854966a0-5ad6-49ab-96f8-68cf22f57789 Disaggregated subnational public employment data - Latvia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=854966a0-5ad6-49ab-96f8-68cf22f57789 EXT_RESOURCE Disaggregated subnational public employment data - Malta|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=91841b5a-ab44-444f-a124-8d039fc73d1c Disaggregated subnational public employment data - Malta|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=91841b5a-ab44-444f-a124-8d039fc73d1c EXT_RESOURCE Disaggregated subnational public employment data - Mexico|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e51a3fbb-49a7-43b9-9402-0c2ed8cf5f54 Disaggregated subnational public employment data - Mexico|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e51a3fbb-49a7-43b9-9402-0c2ed8cf5f54 EXT_RESOURCE Disaggregated subnational public employment data - Norway|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=59303ad0-1033-4a34-b13e-8f1565d5feec Disaggregated subnational public employment data - Norway|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=59303ad0-1033-4a34-b13e-8f1565d5feec EXT_RESOURCE Disaggregated subnational public employment data - Portgual|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1ce970e2-23cf-4d13-8f42-ebea4925478d Disaggregated subnational public employment data - Portugal|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1ce970e2-23cf-4d13-8f42-ebea4925478d EXT_RESOURCE Disaggregated subnational public employment data - Spain|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=befb9669-b383-4180-bc8f-d6abb862f3cc Disaggregated subnational public employment data - Spain|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=befb9669-b383-4180-bc8f-d6abb862f3cc EXT_RESOURCE Disaggregated subnational public employment data - Sweden|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=7ccd0728-229a-42e1-8527-36a858af87ce Disaggregated subnational public employment data - Sweden|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=7ccd0728-229a-42e1-8527-36a858af87ce Aggregated and disaggregated subnational public employment Emploi public des collectivités territoriales – agrégées et désagrégées The pilot database on aggregated subnational public employment (Aggregated SUBEMP) provides a selection of indicators on public employment with a gender perspective for subnational administrations in OECD and EU countries. It is complemented by disaggregated data, that is data for individual subnational governments in a given country, which can be downloaded directly from the links below.<br/><br/>Data was collected for the latest year available with the time coverage ranging from 2019 to 2023 (based on data availability). This database has been produced in the context of the OECD/EU joint project <a href="https://www.oecd.org/regional/multi-level-governance/strengtheninganalyticalframeworksanddataonsubnationalgovernmentfinanceandpublicemployment.htm">Strengthening analytical frameworks and data on subnational government finance and public employment</a>, with the goal of collecting, standardising, and disseminating high-quality comparable data for local government finance and employment. <br/><br/>This data provides information to assess the capacities and decision-making power of municipalities and regions, whose role is essential in developing place-based policy. It also allows for within and cross-country comparisons, which sheds light on the disparities between subnational governments in terms of fulfilling their mandates and their ability to raise own-source revenue. You will find more information on subnational government responsibilities in the <a href="https://www.sng-wofi.org/">World Observatory on Subnational Government Finance and Investment.</a> NonProductionDataflow true COMBINED_MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,UNIT_MEASURE=XDC,MEASURE=LOAN,PRICES=_Z,COUNTRY NOT_DISPLAYED REF_AREA=AUS DEFAULT COMBINED_MEASURE:MEASURE,TRANSACTION_TYPE,ENTR_SIZE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICES COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Financing SMEs and Entrepreneurs: An OECD Scoreboard Le financement des PME et des entrepreneurs: tableau de bord de l'OCDE <p>This dataset provides a framework to monitor trends in SMEs&rsquo; and entrepreneurs&rsquo; access to finance and supports the formulation and evaluation of policies in this domain.</p> <p>The dataset presents time series data on SME financing for close to 50 countries. It includes information for a number of core indicators, including SME debt and equity financing, credit conditions, solvency, and policy measures. The set of indicators provides governments and other stakeholders with a consistent framework to evaluate whether SME financing needs are being met, support the design and evaluation of policy measures, and monitor the implications of financial reforms on SME access to finance.</p> <p><strong>Further information:</strong></p> <ul> <li><span class="ui-provider a b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak" dir="ltr"><a class="fui-Link ___1rxvrpe f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" title="https://www.oecd-ilibrary.org/docserver/dcb0169f-en.pdf?expires=1721751776&amp;id=id&amp;accname=ocid84004878&amp;checksum=e496db0320ee4d8640100f22cf150cf3" href="https://www.oecd-ilibrary.org/docserver/dcb0169f-en.pdf?expires=1721751776&amp;id=id&amp;accname=ocid84004878&amp;checksum=E496DB0320EE4D8640100F22CF150CF3" target="_blank" rel="noreferrer noopener" aria-label="Link dcb0169f-en.pdf (oecd-ilibrary.org)">Definitions and methodology for producing the national Scoreboards</a></span></li> <li><span class="ui-provider a b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak" dir="ltr"><a class="fui-Link ___1rxvrpe f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" title="https://www.oecd.org/en/publications/financing-smes-and-entrepreneurs-2024_fa521246-en.html" href="https://www.oecd.org/en/publications/financing-smes-and-entrepreneurs-2024_fa521246-en.html" target="_blank" rel="noreferrer noopener" aria-label="Link Financing SMEs and Entrepreneurs 2024 | OECD">Financing SMEs and Entrepreneurs 2024 | OECD</a></span></li> </ul> <p>Cet ensemble de donn&eacute;es fournit un cadre d'analyse pour suivre les tendances de l'acc&egrave;s des PME et des entrepreneurs au financement et soutient la formulation et l'&eacute;valuation des politiques dans ce domaine.</p> <p>L'ensemble de donn&eacute;es pr&eacute;sente des s&eacute;ries chronologiques sur le financement des PME pour pr&egrave;s de 50 pays. Il comprend des informations pour un certain nombre d'indicateurs de base, y compris le financement de la dette et des fonds propres des PME, les conditions de cr&eacute;dit, la solvabilit&eacute; et les mesures politiques. L'ensemble des indicateurs fournit aux gouvernements et aux autres parties prenantes un cadre coh&eacute;rent pour &eacute;valuer si les besoins de financement des PME sont satisfaits, pour soutenir la conception et l'&eacute;valuation des mesures politiques et pour suivre les implications des r&eacute;formes financi&egrave;res sur l'acc&egrave;s des PME au financement.</p> <p><strong>Pour en savoir plus :</strong></p> <ul> <li><span class="ui-provider a b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak" dir="ltr"><a class="fui-Link ___1rxvrpe f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" title="https://www.oecd-ilibrary.org/docserver/dcb0169f-en.pdf?expires=1721751776&amp;id=id&amp;accname=ocid84004878&amp;checksum=e496db0320ee4d8640100f22cf150cf3" href="https://www.oecd-ilibrary.org/docserver/dcb0169f-en.pdf?expires=1721751776&amp;id=id&amp;accname=ocid84004878&amp;checksum=E496DB0320EE4D8640100F22CF150CF3" target="_blank" rel="noreferrer noopener" aria-label="Link dcb0169f-en.pdf (oecd-ilibrary.org)">D&eacute;finitions et m&eacute;thodologie pour l'&eacute;laboration des tableaux de bord nationaux</a></span></li> <li><span class="ui-provider a b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak" dir="ltr"><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">Financement des PME et des entrepreneurs 2024 | OCDE</a></span></li> </ul> NonProductionDataflow true MEASURE,VISITOR_TYPE,ACCOMMODATION_TYPE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,SOURCE=TDS DEFAULT COMBINED_MEASURE:MEASURE,VISITOR_TYPE,ACCOMMODATION_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Domestic tourism Tourisme intérieur Domestic tourism comprises the activities of a resident visitor within the country of reference. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS DEFAULT ACTIVITY:OECD.CFE.TOU:HCL_ACTIVITY(1.0).H HIER_CONTEXT Enterprises and employment in tourism Entreprises et emploi dans le tourisme Data on enterprises and employment in tourism industry. NonProductionDataflow true PRODUCT LAYOUT_ROW TIME_PERIOD,MEASURE LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A, NOT_DISPLAYED REF_AREA=AUS DEFAULT CURRENCY,UNIT_MULT UNIT_MEASURE_CONCEPTS PRODUCT:OECD.CFE.TOU:HCL_PRODUCT(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Internal tourism consumption Consommation du tourisme intérieur Internal Tourism Consumption data are shown as to reflect the structure of Table 4 of the Tourism Satellite Account (TSA). <br> <br> The TSA Framework makes a distinction between tourism expenditure and tourism consumption. Tourism expenditure refers to monetary transactions, whereas tourism consumption also includes other transactions: services associated with vacation accommodation on own account, tourism social transfers in kind and other imputed consumption. However, the latter transactions have to be separately evaluated. Therefore, the data might refer to either consumption or expenditure, depending on the country. <br> <br> Three forms of consumption are distinguished: <br> Domestic tourism consumption: the tourism consumption of a resident visitor within the economy of reference. <br> Inbound tourism consumption: the tourism consumption of a non-resident visitor within the economy of reference. <br> Internal tourism consumption: the tourism consumption of both resident and non-resident visitors within the economy of reference. It is the sum of domestic tourism consumption and inbound tourism consumption. NonProductionDataflow true MEASURE,VISITOR_TYPE,ACCOMMODATION_TYPE,COUNTERPART_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,COUNTERPART_AREA=W,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,SOURCE=TDS DEFAULT COMBINED_MEASURE:MEASURE,VISITOR_TYPE,ACCOMMODATION_TYPE,COUNTERPART_AREA;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Inbound tourism Tourisme récepteur Inbound tourism comprises the activities of a non-resident visitor within the country of reference. NonProductionDataflow true MEASURE,VISITOR_TYPE,COUNTERPART_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,COUNTERPART_AREA=W,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS DEFAULT COMBINED_MEASURE:MEASURE,VISITOR_TYPE,COUNTERPART_AREA;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Outbound tourism Tourisme émetteur Outbound tourism comprises the activities of residents of a given country travelling to and staying in places outside their country of residence. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,UNIT_MULT=0 NOT_DISPLAYED Indicateurs clés du tourisme Key tourism economic indicators Tourism GDP corresponds to the part of GDP generated by all industries in response to internal tourism consumption. A further distinction must be made between direct tourism GDP and indirect tourism GDP. Put simply, tourism direct GDP is generated by industries directly in contact with visitors, while indirect tourism GDP is generated by industries supplying inputs to industries directly in contact with the visitors. The Tourism Staellite Account (TSA) Framework limits its recommendations to the evaluation of direct tourism GDP. NonProductionDataflow true SERVICE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,UNIT_MEASURE=XDC DEFAULT UNIT_MEASURE,CURRENCY,UNIT_MULT UNIT_MEASURE_CONCEPTS SERVICE:OECD.CFE.TOU:HCL_SERVICE(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Receipts and expenditure Recettes et dépenses EBOPS 2010 classification for: 2008-onwards: OECD Members <br> <br> EBOPS 2002 methodology for: 2008-09: Belgium, Czech Republic, Denmark, Estonia, Germany, Greece, Hungary, Israël, Italy, Luxembourg, Poland, Portugal, Slovenia, Sweden, Turkey. <br> 2008-12: Finland, France, Iceland, Slovak Republic, Spain <br> 2008-11: Ireland <br> NonProductionDataflow true MEASURE LAYOUT_ROW REF_AREA LAYOUT_COLUMN REF_AREA=AUS+AUT DEFAULT Inventory of Tax Technology Initiatives Inventaire des initiatives de technologie fiscale The <b>Inventory of Tax Technology Initiatives</b> contains information on technology tools and digitalisation solutions implemented by more than 100 national level tax administrations.<br> Its primary purpose is to assist tax administrations in their considerations of possible domestic digitalisation and digital transformation reforms as well as to help identify where future collaboration between tax administrations might be of most value. The inventory seeks to achieve these aims by looking at (i) leading technology tools and digitalisation solutions implemented by tax administrations, and (ii) approaches that will help to advance the overall digital transformation of tax administrations.<br> The underlying data is collected through the <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issue-focus/inventory-of-tax-technology-initiatives/global-survey-digitalisation-2024-en.pdf">2024 Global Survey on Digitalisation</a> which is completed by the participating tax administrations. <u>The data is self-reported by tax administrations and has not been reviewed.</u><br> The inventory has been developed by the OECD with the assistance of the Asian Development Bank, the African Tax Administration Forum, the Cercle de Reflexion et d’Echange des Dirigeants des Administrations Fiscale, the Commonwealth Association of Tax Administrators, the Inter-American Center of Tax Administrations, the International Monetary Fund, the Intra-European Organisation of Tax Administrations, the Pacific Islands Tax Administrators Association, and the Study Group on Asia-Pacific Tax Administration and Research.<br> <br> <b><i>Reference area:</b></i> Jurisdiction; <b><i>Measure:</b></i> Data points <b>L'Inventaire des initiatives de technologie fiscale</b> contient des informations sur les outils technologiques et les solutions de digitalisation mises en œuvre par plus de 100 administrations fiscales nationales.<br> Son objectif principal est d’aider les administrations fiscales dans leur réflexion sur d’éventuelles réformes nationales en matière de digitalisation et de transformation numérique, ainsi que d’aider à identifier les domaines dans lesquels une future collaboration entre les administrations fiscales pourrait être la plus utile. L'inventaire vise à atteindre ces objectifs en examinant (i) les principaux outils technologiques et solutions de digitalisation mis en œuvre par les administrations fiscales, et (ii) les approches qui contribueront à faire progresser la transformation numérique globale des administrations fiscales.<br> Les données sous-jacentes sont collectées dans le cadre de <a href="https://www.oecd.org/content/dam/oecd/fr/topics/policy-issue-focus/inventory-of-tax-technology-initiatives/global-survey-digitalisation-2024-fr.pdf">l’Enquête Mondiale sur la Digitalisation, millésime 2024</a>, qui est complétée par les administrations fiscales participantes. <u>Les données sont auto-déclarées par les administrations fiscales et n'ont pas été examinées.</u><br> L'inventaire a été élaboré par l'OCDE avec l'aide de la Banque asiatique de développement, du Forum africain sur l'administration fiscale, du Cercle de réflexion et d'échange des dirigeants des administrations fiscales, de l'Association des administrateurs fiscaux du Commonwealth, du Centre interaméricain des Administrations fiscales, du Fonds monétaire international, de l'Organisation intra-européenne des administrations fiscales, de l'Association des administrateurs fiscaux des îles du Pacifique et du Groupe d'étude sur l'administration et la recherche fiscales en Asie-Pacifique.<br> <br> <b><i>Zone de référence:</b></i> Jurisdiction; <b><i>Mesure:</b></i> Points de données NonProductionDataflow true PROFIT_GROUPING,COUNTERPART_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION FREQ=A NOT_DISPLAYED LASTNPERIODS=1,DECIMALS=0,PROFIT_GROUPING=_T,REF_AREA=AUS DEFAULT Country-by-country reporting (CbCR) - Aggregate totals by jurisdiction - Corporate tax statistics Country-by-country reporting (CbCR) - Totaux agrégés par juridiction - Statistiques de l’impôt sur les sociétés Table I - This table reports variable totals for all sub-groups, obtained by aggregating sub-group variables according to their jurisdiction of tax residence (or country groups,depending on confidentiality). The tables includes three panels aggregating all sub-groups, sub-groups with positive profits and sub-groups with negative profits. Tableau I - Ce tableau présente les totaux des variables pour tous les sous-groupes, obtenus en agrégeant les variables des sous-groupes en fonction de leur juridiction de résidence fiscale (ou des groupes de pays, en fonction de la confidentialité). Le tableau comprend trois panneaux regroupant tous les sous-groupes, les sous-groupes avec des bénéfices positifs et les sous-groupes avec des bénéfices négatifs. NonProductionDataflow true PROFIT_GROUPING,COUNTERPART_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION FREQ=A NOT_DISPLAYED LASTNPERIODS=1,DECIMALS=0,PROFIT_GROUPING=_T,REF_AREA=AUS DEFAULT Country-by-country reporting (CbCR) - Interquartile mean values by jurisdiction - Corporate tax statistics Country-by-country reporting (CbCR) - Valeurs moyennes interquartiles par juridiction - Statistiques de l’impôt sur les sociétés Table II - This table reports variable interquartile means, which are based on the number of CbCR sub-groups according to their jurisdiction of tax residence (or country groups,depending on confidentiality). The tables includes three panels aggregating all sub-groups, sub-groups with positive profits and sub-groups with negative profits. For the years 2016 and 2017 this table reported variable averages. Tableau II - Ce tableau présente les moyennes interquartiles des variables, qui sont basées sur le nombre de sous-groupes du CbCR en fonction de leur juridiction de résidence fiscale (ou des groupes de pays, en fonction de la confidentialité). Le tableau comprend trois panneaux agrégeant tous les sous-groupes, les sous-groupes avec des bénéfices positifs et les sous-groupes avec des bénéfices négatifs. Pour les années 2016 et 2017, ce tableau présente des moyennes variables. NonProductionDataflow true EFFECTIVE_TAX_RATE,COUNTERPART_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION FREQ=A NOT_DISPLAYED LASTNPERIODS=1,DECIMALS=0,REF_AREA=AUS DEFAULT Country-by-country reporting (CbCR) - Aggregate totals by the effective tax rate of the MNE group and by tax jurisdiction - Corporate tax statistics Country-by-country reporting (CbCR) - Totaux agrégés par taux d'imposition des groupes d'entreprises multinationales - Statistiques de l’impôt sur les sociétés Table III - This table reports data by the effective tax rate of the MNE group and by tax jurisdiction. The effective tax rate of an MNE Group is computed by summing Income Tax Accrued – Current Year across all subgroups reported on a CbCR. Then group-level profit (loss) is computed in a similar fashion. The MNE group tax rate is calculated by dividing the computed grouplevel income tax accrued by the computed group-level profit (loss). If the sum of an MNE group’s profits is zero or negative then the MNE group is categorised as having zero or negative profits. If the sum of an MNE group’s income tax accrued is negative and the sum of the MNE group’s profits is positive, then the MNE group is categorised in negative income tax accrued category. Tableau III - Ce tableau présente les données selon le taux d'imposition effectif du groupe d'entreprises multinationales et selon la juridiction fiscale. Le taux d'imposition effectif d'un groupe d'entreprises multinationales est calculé en additionnant l'impôt sur le revenu à payer pour l'année en cours dans tous les sous-groupes déclarés dans un RCCB. Le bénéfice (la perte) au niveau du groupe est ensuite calculé(e) de la même manière. Le taux d'imposition de l'EMN est calculé en divisant l'impôt sur le revenu accumulé au niveau du groupe calculé par le bénéfice (la perte) calculé(e) au niveau du groupe. Si la somme des bénéfices d'un groupe d'entreprises multinationales est nulle ou négative, le groupe d'entreprises multinationales est considéré comme ayant des bénéfices nuls ou négatifs. Si la somme de l'impôt sur le revenu accumulé d'un groupe d'entreprises multinationales est négative et que la somme des bénéfices du groupe d'entreprises multinationales est positive, le groupe d'entreprises multinationales est classé dans la catégorie de l'impôt sur le revenu accumulé négatif. NonProductionDataflow true EFFECTIVE_TAX_RATE,COUNTERPART_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION FREQ=A NOT_DISPLAYED LASTNPERIODS=1,DECIMALS=0,COUNTERPART_AREA=W DEFAULT Country-by-country reporting (CbCR) - Aggregate totals by the effective tax rate of the MNE sub-group and by tax jurisdiction - Corporate tax statistics Country-by-country reporting (CbCR) - Totaux agrégés par taux d'imposition des sous-groupes d'entreprises multinationales - Statistiques de l’impôt sur les sociétés Table IV - This table reports data by the effective tax rate of the MNE sub-group and by tax jurisdiction. The effective tax rate of an MNE sub-group is computed by dividing the sub-group income tax accrued by the sub-group-profit (loss). If the sum of an MNE sub-group’s profits is zero or negative then the MNE sub-group is categorised as having zero or negative profits. If the sum of an MNE sub-group’s income tax accrued is negative and the sum of the MNE sub-group’s profits is positive, then the MNE sub-group is categorised in negative income tax accrued category. Tableau IV - Ce tableau présente les données selon le taux d'imposition effectif du sous-groupe d'entreprises multinationales et selon la juridiction fiscale. Le taux d'imposition effectif d'un sous-groupe d'entreprises multinationales est calculé en divisant l'impôt sur le revenu du sous-groupe par le bénéfice (la perte) du sous-groupe. Si la somme des bénéfices d'un sous-groupe d'entreprises multinationales est nulle ou négative, le sous-groupe d'entreprises multinationales est considéré comme ayant des bénéfices nuls ou négatifs. Si la somme de l'impôt sur le revenu accumulé par un sous-groupe d'entreprises multinationales est négative et que la somme des bénéfices du sous-groupe d'entreprises multinationales est positive, le sous-groupe d'entreprises multinationales est classé dans la catégorie de l'impôt sur le revenu accumulé négatif. NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION FREQ=A NOT_DISPLAYED LASTNPERIODS=1,DECIMALS=0 DEFAULT Country-by-country reporting (CbCR) - Distribution points of MNE group size - Corporate tax statistics Country-by-country reporting (CbCR) - Points de distribution de la taille des groupes d'entreprises multinationales - Statistiques de l’impôt sur les sociétés Table V - This table reports information on the size of MNE groups filing CbCRs. For the purposes of Table V, the size of an MNE group is defined in terms of three variables: 1. Unrelated Party Revenues 2. Number of Employees 3. Tangible Assets other than Cash and Cash Equivalents. The total size of an MNE group is determined by summing over all sub-groups of an MNE group. Tableau V - Ce tableau fournit des informations sur la taille des groupes d'entreprises multinationales déclarant des RCCB. Aux fins du tableau V, la taille d'un groupe d'entreprises multinationales est définie en fonction de trois variables : 1. les revenus des parties non liées ; 2. le nombre d'employés ; 3. le nombre de salariés. Le nombre d'employés 3. Actifs corporels autres que les espèces et quasi-espèces. La taille totale d'un groupe d'entreprises multinationales est déterminée en additionnant tous les sous-groupes d'un groupe d'entreprises multinationales. NonProductionDataflow true REF_AREA LAYOUT_ROW PRICE_LEVEL LAYOUT_COLUMN SECTOR LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,STATISTICAL_OPERATION NOT_DISPLAYED EMISSIONS_SOURCE=FFUEL,TIME_PERIOD_START=2021,PRICE_BASE=Q,MEASURE=CPS,PRICE_LEVEL=BEN_EUR_60 DEFAULT UNIT_MEASURE UNIT_MEASURE_CONCEPTS Carbon pricing score Score de tarification du carbone The Carbon Pricing Score (CPS) answers the question of how far countries have attained the goal of pricing all energy related carbon emissions in line with carbon costs. The carbon price signal stems from the Effective Carbon Rate (ECR) - the sum of fuel excise taxes, carbon taxes and tradeable permits that effectively put a price on carbon emissions. Progress with carbon pricing is discussed against three benchmarks. The more progress a country has made towards the relevant benchmark value, the higher the CPS. For example, a CPS of 100% against a EUR 60 per tonne CO2 benchmark (CPS60) means that a country or the group of countries prices all carbon emissions from energy use at EUR 60 or more. A CPS of 0% means that the country prices no emissions at all. An intermediate CPS between 0% and 100% means that some emissions are priced, but that not all emissions are priced at a level that equals or exceeds the benchmark.<p>Companion dataset to Effective Carbon Rates (ECR). ECRs measure carbon pricing of CO2-emissions from energy use in more than 70 countries, including 45 OECD and G20 countries, covering over 80% of world emissions. The dataset provides a comprehensive view on carbon pricing, including fuel excise taxes, carbon taxes and tradable emission permit prices. For additional information, see the <a href="https://www.oecd.org/tax/tax-policy/effective-carbon-rates-2023.htm">latest Effective Carbon Rates</a> report. Annex A of the first publication of <a href="https://www.oecd.org/tax/effective-carbon-rates-9789264260115-en.htm">Effective Carbon Rates (OECD, 2016)</a> provides a detailed description of the methodology for calculating ECRs.</p> Le score de tarification du carbone (CPS) répond à la question de savoir dans quelle mesure les pays ont atteint l'objectif de tarification de toutes les émissions de carbone liées à l'énergie en fonction du coût du carbone. Le signal du prix du carbone provient du taux effectif sur le carbone (ECR) - la somme des droits d'accise sur les carburants, des taxes sur le carbone et des permis échangeables qui fixent effectivement un prix sur les émissions de carbone. Les progrès réalisés en matière de tarification du carbone sont examinés à l'aune de trois critères de référence. Plus un pays a progressé vers la valeur de référence correspondante, plus le CPS est élevé. Par exemple, un CPS de 100 % par rapport à une valeur de référence de 60 euros par tonne de CO2 (CPS60) signifie qu'un pays ou un groupe de pays fixe le prix de toutes les émissions de carbone provenant de l'utilisation de l'énergie à 60 euros ou plus. Un CPS de 0 % signifie que le pays ne fixe aucun prix pour les émissions. Un CPS intermédiaire entre 0 % et 100 % signifie que certaines émissions sont tarifées, mais que toutes les émissions ne sont pas tarifées à un niveau égal ou supérieur à la référence.<p>Donn&eacute;es compl&eacute;mentaires aux Taux Effectifs sur le Carbone (Effective Carbon Rates - ECR). ECRs mesure la tarification du carbone des &eacute;missions de CO2 li&eacute;es &agrave; la consommation d'&eacute;nergie dans plus de 70 pays, dont 45 pays de l'OCDE et du G20, couvrant 80% des &eacute;missions mondiales. L'ensemble de donn&eacute;es fournit une vue compl&egrave;te de la tarification du carbone, y compris lles droits d&rsquo;accise sur les combustibles et les carburants, les taxes sur le carbone et les prix des permis d'&eacute;mission n&eacute;gociables. Pour plus d'informations, consultez la&nbsp;<a href="https://www.oecd.org/tax/tax-policy/effective-carbon-rates-2023.htm"> nouvelle Effective Carbon Rates </a>&eacute;dition. Annexe A de la premi&egrave;re publication de <a href="https://www.oecd.org/tax/effective-carbon-rates-9789264260115-en.htm">Effective Carbon Rates (OECD, 2016)</a> fournit une description d&eacute;taill&eacute;e de la m&eacute;thodologie de calcul des ECRs.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW PRICE_LEVEL LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,PRICE_BASE,BASE_PER,STATISTICAL_OPERATION NOT_DISPLAYED EMISSIONS_SOURCE=FFUEL,TIME_PERIOD_START=2021,MEASURE=SEP,SECTOR=ENE DEFAULT UNIT_MEASURE UNIT_MEASURE_CONCEPTS Shares of CO2 emissions from energy priced Part des émissions énergie CO2 tarifées The share of emissions priced indicator shows the share of CO2 emissions from energy within a country or sector with a carbon price that exceeds a certain level. The carbon price signal stems from the Effective Carbon Rate (ECR) - the sum of fuel excise taxes, carbon taxes and tradeable permits that effectively put a price on carbon emissions.<p>Companion dataset to Effective Carbon Rates (ECR). ECRs measure carbon pricing of CO2-emissions from energy use in more than 70 countries, including 45 OECD and G20 countries, covering over 80% of world emissions. The dataset provides a comprehensive view on carbon pricing, including fuel excise taxes, carbon taxes and tradable emission permit prices. For additional information, see the <a href="https://www.oecd.org/tax/tax-policy/effective-carbon-rates-2023.htm">latest Effective Carbon Rates</a> report. Annex A of the first publication of <a href="https://www.oecd.org/tax/effective-carbon-rates-9789264260115-en.htm">Effective Carbon Rates (OECD, 2016)</a> provides a detailed description of the methodology for calculating ECRs.</p> L'indicateur de la part des émissions tarifées montre la part des émissions de CO2 provenant de l'utilisation de l'énergie dans un pays ou un secteur dont le prix du carbone dépasse un certain niveau. Le signal du prix du carbone provient du taux effectif sur le carbone (ECR) - la somme des droits d'accise sur les carburants, des taxes sur le carbone et des permis échangeables qui fixent effectivement un prix sur les émissions de carbone.<p>Donn&eacute;es compl&eacute;mentaires aux Taux Effectifs sur le Carbone (Effective Carbon Rates - ECR). ECRs mesure la tarification du carbone des &eacute;missions de CO2 li&eacute;es &agrave; la consommation d'&eacute;nergie dans plus de 70 pays, dont 45 pays de l'OCDE et du G20, couvrant 80% des &eacute;missions mondiales. L'ensemble de donn&eacute;es fournit une vue compl&egrave;te de la tarification du carbone, y compris lles droits d&rsquo;accise sur les combustibles et les carburants, les taxes sur le carbone et les prix des permis d'&eacute;mission n&eacute;gociables. Pour plus d'informations, consultez la&nbsp;<a href="https://www.oecd.org/tax/tax-policy/effective-carbon-rates-2023.htm"> nouvelle Effective Carbon Rates </a>&eacute;dition. Annexe A de la premi&egrave;re publication de <a href="https://www.oecd.org/tax/effective-carbon-rates-9789264260115-en.htm">Effective Carbon Rates (OECD, 2016)</a> fournit une description d&eacute;taill&eacute;e de la m&eacute;thodologie de calcul des ECRs.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,MEASURE LAYOUT_COLUMN V2/structure/dataflow/OECD.CTP.TPS/DSD_ETR@DF_ETR_XBRD,DSD_ETR@DF_ETR_IBRD/latest RELATED_DATA ETR_TAX_BASIS,REGIME,FREQ NOT_DISPLAYED ETR_SCENARIO=FIXED,ETR_TAX_TYPE=COMPOSITE,MEASURE=EATR+EMTR,LASTNPERIODS=5 DEFAULT EXT_RESOURCE Corporate effective tax rates explanatory annex|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-effective-tax-rates.pdf Annexe explicative sur les taux effectifs d’impôt sur les sociétés|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-effective-tax-rates.pdf Effective tax rates - Corporate tax statistics Taux d'imposition effectifs - Statistiques de l'impôt sur les sociétés This table reports synthetic tax policy indicators calculated on the basis of a prospective, hypothetical investment project. Unlike backward-looking ETRs, they do not incorporate any information about firms' actual tax payments.The OECD methodology has been described in detail in the OECD Taxation Working Paper No. 38 (Hanappi, 2018). Further methodological information is available in the explanatory annex. Ce tableau rapporte des indicateurs synthétiques de politique fiscale calculés sur la base d'un projet d'investissement prospectif et hypothétique. Contrairement aux ETR rétrospectifs, ils n'intègrent aucune information sur les paiements d'impôts effectifs des entreprises.La méthodologie de l'OCDE a été décrite en détail dans le Document de travail de l'OCDE sur la fiscalité n° 38 (Hanappi, 2018). Des informations méthodologiques supplémentaires sont disponibles dans l'annexe explicative. NonProductionDataflow true REF_AREA,REGIME LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN V2/structure/dataflow/OECD.CTP.TPS/DSD_ETR@DF_ETR_BASELINE,DSD_ETR@DF_ETR_XBRD/latest RELATED_DATA ETR_TAX_BASIS,ETR_SCENARIO,FREQ NOT_DISPLAYED LASTNPERIODS=1 DEFAULT EXT_RESOURCE Income-based corporate effective tax rates for R&D explanatory annex|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-effective-tax-rates-ibti.pdf Annexe explicative des taux effectifs d’impôt sur les sociétés basés sur le revenue pour la R&D|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-effective-tax-rates-ibti.pdf Effective tax rates for income based tax incentives - Corporate tax statistics Taux d'imposition effectifs pour les incitations fiscales basées sur les revenus - Statistiques de l'impôt sur les sociétés <p>This table reports synthetic tax policy indicators that capture the effect of expenditure-based R&D tax incentives on firms’ investment costs:</p> <p><ul><li>The EATR for R&D measures the impact of taxation on R&D investments that earn an economic profit.</li> <li>the user cost of capital for R&D measures the return that a firm needs to realise on an R&D investment before tax to offset all costs and taxes that arise from the investment, making zero economic profit.</li></p> <p>Further methodological information is available in the explanatory annex.</p> <p>Ce tableau présente des indicateurs synthétiques de politique fiscale qui rendent compte de l'effet des incitations fiscales à la R&D basées sur les revenus sur les coûts d'investissement des entreprises :</p> <p><ul><li>L'EATR pour la R&D mesure l'impact de la fiscalité sur les investissements en R&D qui génèrent un profit économique.</li> <li>le coût d'usage du capital pour la R&D mesure le rendement qu'une entreprise doit réaliser sur un investissement en R&D avant impôt pour compenser tous les coûts et impôts qui découlent de l'investissement, afin de réaliser un profit économique nul.</li></ul></p> <p>Des informations méthodologiques supplémentaires sont disponibles dans l'annexe explicative.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN V2/structure/dataflow/,/DSD_RDTAX@DF_RDTAX,DSD_RDTAX@DF_RDSUB,DSD_ETR@DF_ETR_BASELINE,DSD_ETR@DF_ETR_IBRD/latest RELATED_DATA ETR_TAX_BASIS,ETR_SCENARIO,REGIME,FREQ NOT_DISPLAYED LASTNPERIODS=1 DEFAULT EXT_RESOURCE Expenditure-based corporate effective tax rates for R&D explanatory annex|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-effective-tax-rates-xbti.pdf Annexe explicative des taux effectifs d’impôt sur les sociétés basés sur les dépenses pour la R&D|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-effective-tax-rates-xbti.pdf Effective tax rates for expenditure based tax incentives - Corporate tax statistics Taux d'imposition effectifs pour les incitations fiscales basées sur les dépenses - Statistiques de l'impôt sur les sociétés <p>This table reports synthetic tax policy indicators that capture the effect of expenditure-based R&D tax incentives on firms’ investment costs:</p> <p><ul><li>The EATR for R&D measures the impact of taxation on R&D investments that earn an economic profit.</li> <li>the user cost of capital for R&D measures the return that a firm needs to realise on an R&D investment before tax to offset all costs and taxes that arise from the investment, making zero economic profit.</li></ul></p> <p>Further methodological information is available in the explanatory annex.</p> <p>Ce tableau présente des indicateurs synthétiques de politique fiscale qui rendent compte de l'effet des incitations fiscales à la R&D basées sur les dépenses sur les coûts d'investissement des entreprises :</p> <p><ul><li>L'EATR pour la R&D mesure l'impact de la fiscalité sur les investissements en R&D qui génèrent un profit économique.</li> <li>le coût d'usage du capital pour la R&D mesure le rendement qu'une entreprise doit réaliser sur un investissement en R&D avant impôt pour compenser tous les coûts et impôts qui découlent de l'investissement, afin de réaliser un profit économique nul.</li></ul></p> <p>Des informations méthodologiques supplémentaires sont disponibles dans l'annexe explicative.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN SECTOR LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,PRICE_LEVEL,CURRENCY,FREQ,DECIMALS NOT_DISPLAYED EMISSIONS_SOURCE=_T,TIME_PERIOD_START=2021,LASTNPERIODS=1,STATISTICAL_OPERATION=MEANW,PRICE_BASE=Q,MEASURE=FUETAX+CARBTAX+MPERPRI+ECRATE+SUBSID+NETECR,SECTOR=_T DEFAULT UNIT_MEASURE,PRICE_BASE,BASE_PER UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Net effective carbon rates Taux nets effectifs sur le carbone The Effective Carbon Rate (ECR) is the sum of fuel excise taxes, carbon taxes and tradeable permits that effectively put a price on carbon emissions. The Net ECR equals the ECR minus fossil fuel subsidies that decrease pre-tax fossil fuel prices.<p>Companion dataset to the OECD Series on Carbon Pricing and Energy Taxation.</p><p>The "Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down" report tracks how explicit carbon prices, energy taxes and subsidies that lower pre-tax prices on emissions or energy products have evolved between 2021 and 2023 across 79 countries, covering approximately 82% of global greenhouse gas (GHG) emissions. Explicit carbon prices, energy taxes and subsidies are detailed by country, sector, product and instrument. The use of a common methodology ensures comparability across countries. Summary indicators facilitate cross country comparisons and allow policy makers and the public to keep track of progress made and identify opportunities for reform..</p><p>To cite as OECD (2024), Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down, OECD Series on Carbon Pricing and Energy Taxation, OECD Publishing, Paris, <a href="https://doi.org/10.1787/b44c74e6-en">https://doi.org/10.1787/b44c74e6-en</a></p><p><a href="https://www.oecd.org/en/publications/pricing-greenhouse-gas-emissions-2024_b44c74e6-en.html">Pricing Greenhouse Gas Emissions</a></p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> Le taux effectif sur le carbone (ECR) est la somme des les droits d’accise sur les combustibles et les carburants, des taxes sur le carbone et des permis des systèmes d'échange de quotas d'émission (SEQE) qui donnent un prix aux émissions de carbone. L'ECR net est égal à l'ECR moins les subventions aux combustibles fossiles qui diminuent les prix des combustibles fossiles avant impôt.<p>Companion dataset to S&eacute;rie de publications de l&rsquo;OCDE sur la tarification du carbone et la fiscalit&eacute; des &eacute;nergies.</p><p>The "Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down" report tracks how explicit carbon prices, energy taxes and subsidies that lower pre-tax prices on emissions or energy products have evolved between 2021 and 2023 across 79 countries, covering approximately 82% of global greenhouse gas (GHG) emissions. Explicit carbon prices, energy taxes and subsidies are detailed by country, sector, product and instrument. The use of a common methodology ensures comparability across countries. Summary indicators facilitate cross country comparisons and allow policy makers and the public to keep track of progress made and identify opportunities for reform..</p><p>To cite as OECD (2024), Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down, OECD Series on Carbon Pricing and Energy Taxation, OECD Publishing, Paris, <a href="https://doi.org/10.1787/b44c74e6-en">https://doi.org/10.1787/b44c74e6-en</a></p><p><a href="https://www.oecd.org/en/publications/pricing-greenhouse-gas-emissions-2024_b44c74e6-en.html">Pricing Greenhouse Gas Emissions</a></p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN SECTOR LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,PRICE_BASE,BASE_PER NOT_DISPLAYED EMISSIONS_SOURCE=_T,TIME_PERIOD_START=2021,LASTNOBSERVATIONS=2,STATISTICAL_OPERATION=MEANW,MEASURE=FUETAX+CARBTAX+MPERPRI+EXPCARB+ECRATE+SUBSID+NETECR,SECTOR=_T,PRICE_LEVEL=EUR_GT0 DEFAULT UNIT_MEASURE UNIT_MEASURE_CONCEPTS Shares of emissions priced Part des émissions de GES tarifées The share of emissions priced indicator shows the share of greenhouse gas (GHG) emissions within a country or sector with a carbon price that exceeds a certain level. The carbon price signal stems from the Net Effective Carbon Rate (ECR) - the sum of fuel excise taxes, carbon taxes and tradeable permits that effectively put a price on carbon emissions, minus fossil fuel subsidies that decrease pre-tax fossil fuel prices.<p>Companion dataset to the OECD Series on Carbon Pricing and Energy Taxation.</p><p>The "Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down" report tracks how explicit carbon prices, energy taxes and subsidies that lower pre-tax prices on emissions or energy products have evolved between 2021 and 2023 across 79 countries, covering approximately 82% of global greenhouse gas (GHG) emissions. Explicit carbon prices, energy taxes and subsidies are detailed by country, sector, product and instrument. The use of a common methodology ensures comparability across countries. Summary indicators facilitate cross country comparisons and allow policy makers and the public to keep track of progress made and identify opportunities for reform..</p><p>To cite as OECD (2024), Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down, OECD Series on Carbon Pricing and Energy Taxation, OECD Publishing, Paris, <a href="https://doi.org/10.1787/b44c74e6-en">https://doi.org/10.1787/b44c74e6-en</a></p><p><a href="https://www.oecd.org/en/publications/pricing-greenhouse-gas-emissions-2024_b44c74e6-en.html">Pricing Greenhouse Gas Emissions</a></p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> L'indicateur de la part des émissions tarifées montre la part des émissions de gaz à effet de serre (GES) dans un pays ou un secteur dont le prix du carbone dépasse un certain niveau. Le signal du prix du carbone provient du taux effectif sur le carbone (Net ECR) - la somme des droits d'accise sur les carburants, des taxes sur le carbone et des permis échangeables qui fixent effectivement un prix sur les émissions de carbone, moins les subventions aux combustibles fossiles qui diminuent les prix des combustibles fossiles avant impôt.<p>Companion dataset to S&eacute;rie de publications de l&rsquo;OCDE sur la tarification du carbone et la fiscalit&eacute; des &eacute;nergies.</p><p>The "Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down" report tracks how explicit carbon prices, energy taxes and subsidies that lower pre-tax prices on emissions or energy products have evolved between 2021 and 2023 across 79 countries, covering approximately 82% of global greenhouse gas (GHG) emissions. Explicit carbon prices, energy taxes and subsidies are detailed by country, sector, product and instrument. The use of a common methodology ensures comparability across countries. Summary indicators facilitate cross country comparisons and allow policy makers and the public to keep track of progress made and identify opportunities for reform..</p><p>To cite as OECD (2024), Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down, OECD Series on Carbon Pricing and Energy Taxation, OECD Publishing, Paris, <a href="https://doi.org/10.1787/b44c74e6-en">https://doi.org/10.1787/b44c74e6-en</a></p><p><a href="https://www.oecd.org/en/publications/pricing-greenhouse-gas-emissions-2024_b44c74e6-en.html">Pricing Greenhouse Gas Emissions</a></p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW STATISTICAL_OPERATION,PRICE_BASE,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,PRICE_BASE=_Z,BASE_PER=_Z NOT_DISPLAYED EMISSIONS_SOURCE=_T,TIME_PERIOD_START=2021,LASTNPERIODS=1,SECTOR=ENE,PRICE_LEVEL=BEN_EUR_0 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Revenue forgone and net effective carbon rates Recettes perdues et taux nets effectifs sur le carbone The revenue forgone indicator estimates the fiscal revenue that is forgone for not pricing carbon emissions at a given benchmark. This indicator, calculated at prevailing net effective carbon rates, can be used to approximate fossil fuel support provided by countries.<p>Companion dataset to the OECD Series on Carbon Pricing and Energy Taxation.</p><p>The "Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down" report tracks how explicit carbon prices, energy taxes and subsidies that lower pre-tax prices on emissions or energy products have evolved between 2021 and 2023 across 79 countries, covering approximately 82% of global greenhouse gas (GHG) emissions. Explicit carbon prices, energy taxes and subsidies are detailed by country, sector, product and instrument. The use of a common methodology ensures comparability across countries. Summary indicators facilitate cross country comparisons and allow policy makers and the public to keep track of progress made and identify opportunities for reform..</p><p>To cite as OECD (2024), Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down, OECD Series on Carbon Pricing and Energy Taxation, OECD Publishing, Paris, <a href="https://doi.org/10.1787/b44c74e6-en">https://doi.org/10.1787/b44c74e6-en</a></p><p><a href="https://www.oecd.org/en/publications/pricing-greenhouse-gas-emissions-2024_b44c74e6-en.html">Pricing Greenhouse Gas Emissions</a></p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> L'indicateur de recettes perdues estime le manque à gagner fiscal lié à l'absence de tarification des émissions de carbone à un certain niveau de référence. Cet indicateur, calculé sur la base des taux nets effectifs sur le carbone en vigueur, peut être utilisé pour estimer les aides aux combustibles fossiles accordées par les pays.<p>Companion dataset to S&eacute;rie de publications de l&rsquo;OCDE sur la tarification du carbone et la fiscalit&eacute; des &eacute;nergies.</p><p>The "Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down" report tracks how explicit carbon prices, energy taxes and subsidies that lower pre-tax prices on emissions or energy products have evolved between 2021 and 2023 across 79 countries, covering approximately 82% of global greenhouse gas (GHG) emissions. Explicit carbon prices, energy taxes and subsidies are detailed by country, sector, product and instrument. The use of a common methodology ensures comparability across countries. Summary indicators facilitate cross country comparisons and allow policy makers and the public to keep track of progress made and identify opportunities for reform..</p><p>To cite as OECD (2024), Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down, OECD Series on Carbon Pricing and Energy Taxation, OECD Publishing, Paris, <a href="https://doi.org/10.1787/b44c74e6-en">https://doi.org/10.1787/b44c74e6-en</a></p><p><a href="https://www.oecd.org/en/publications/pricing-greenhouse-gas-emissions-2024_b44c74e6-en.html">Pricing Greenhouse Gas Emissions</a></p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN SECTOR LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,PRICE_LEVEL,CURRENCY,FREQ,DECIMALS NOT_DISPLAYED ENERGY_SOURCE=_T,TIME_PERIOD_START=2021,LASTNPERIODS=1,STATISTICAL_OPERATION=MEANW,PRICE_BASE=Q,MEASURE=FUETAX+CARBTAX+ELETAX+MPERPRI+EER+SUBSID+ELESUBS+NETEER,SECTOR=ENE DEFAULT UNIT_MEASURE,PRICE_BASE,BASE_PER UNIT_MEASURE_CONCEPTS ENERGY_SOURCE:OECD.CTP.TPS:HCL_ENERGY_SOURCE_TAXENV(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Net effective energy rates Taux nets effectifs sur l'énergie The Effective Energy Rate (EER) is the sum of fuel excise taxes, carbon taxes, electricity excise taxes and tradeable permits that effectively put a price on energy use. The Net EER equals the EER minus fossil fuel and electricity subsidies that decrease pre-tax energy prices. Electricity excise taxes and subsidies generally do not treat fossil fuels in a differential manner compared to clean sources and are therefore excluded from the Net ECR indicator. <p>Companion dataset to the OECD Series on Carbon Pricing and Energy Taxation.</p><p>The "Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down" report tracks how explicit carbon prices, energy taxes and subsidies that lower pre-tax prices on emissions or energy products have evolved between 2021 and 2023 across 79 countries, covering approximately 82% of global greenhouse gas (GHG) emissions. Explicit carbon prices, energy taxes and subsidies are detailed by country, sector, product and instrument. The use of a common methodology ensures comparability across countries. Summary indicators facilitate cross country comparisons and allow policy makers and the public to keep track of progress made and identify opportunities for reform..</p><p>To cite as OECD (2024), Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down, OECD Series on Carbon Pricing and Energy Taxation, OECD Publishing, Paris, <a href="https://doi.org/10.1787/b44c74e6-en">https://doi.org/10.1787/b44c74e6-en</a></p><p><a href="https://www.oecd.org/en/publications/pricing-greenhouse-gas-emissions-2024_b44c74e6-en.html">Pricing Greenhouse Gas Emissions</a></p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> Le taux effectif sur l'énergie (EER) est la somme des taxes sur les carburants, des taxes sur le carbone, des taxes sur l'électricité et des permis échangeables qui donnent un prix sur la consommation d'énergie. Le EER net est égal au EER moins les subventions aux combustibles fossiles et à l'électricité qui diminuent les prix de l'énergie avant impôt. Les taxes d'accise sur l'électricité et les subventions ne traitent généralement pas les combustibles fossiles de manière différenciée par rapport aux sources propres et sont donc exclues de l'indicateur du ECR net.<p>Companion dataset to S&eacute;rie de publications de l&rsquo;OCDE sur la tarification du carbone et la fiscalit&eacute; des &eacute;nergies.</p><p>The "Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down" report tracks how explicit carbon prices, energy taxes and subsidies that lower pre-tax prices on emissions or energy products have evolved between 2021 and 2023 across 79 countries, covering approximately 82% of global greenhouse gas (GHG) emissions. Explicit carbon prices, energy taxes and subsidies are detailed by country, sector, product and instrument. The use of a common methodology ensures comparability across countries. Summary indicators facilitate cross country comparisons and allow policy makers and the public to keep track of progress made and identify opportunities for reform..</p><p>To cite as OECD (2024), Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down, OECD Series on Carbon Pricing and Energy Taxation, OECD Publishing, Paris, <a href="https://doi.org/10.1787/b44c74e6-en">https://doi.org/10.1787/b44c74e6-en</a></p><p><a href="https://www.oecd.org/en/publications/pricing-greenhouse-gas-emissions-2024_b44c74e6-en.html">Pricing Greenhouse Gas Emissions</a></p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,PRICE_BASE,BASE_PER,PRICE_LEVEL,ENERGY_SOURCE,SECTOR NOT_DISPLAYED TIME_PERIOD_START=2021,LASTNPERIODS=1,STATISTICAL_OPERATION=MEANW,MEASURE=ETREV+FEXREV+CTAXREV+ETSREV+ELEREV+FSUBS+ELESUBS+NETREV+POTREV+NETCPREV+SUBRPOT+FPERMPOT+CBRPOT60+CBRPOT120+TREFPOT DEFAULT UNIT_MEASURE UNIT_MEASURE_CONCEPTS Net energy tax revenues and reform potential Recettes nettes des taxes sur l'énergie et potentiel de réforme Revenue potential from fossil fuel subsidy and carbon price reform shows how much revenues would increase if Net ECRs were raised to reach a carbon benchmark of EUR 120 per tonne of CO2 for all fossil fuels. Net energy tax revenues are a bottom-up estimate of the net revenues resulting from taxes and subsidies on energy, and the revenues from auctioning emissions permits for energy-related CO2.<p>Companion dataset to the OECD Series on Carbon Pricing and Energy Taxation.</p><p>The "Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down" report tracks how explicit carbon prices, energy taxes and subsidies that lower pre-tax prices on emissions or energy products have evolved between 2021 and 2023 across 79 countries, covering approximately 82% of global greenhouse gas (GHG) emissions. Explicit carbon prices, energy taxes and subsidies are detailed by country, sector, product and instrument. The use of a common methodology ensures comparability across countries. Summary indicators facilitate cross country comparisons and allow policy makers and the public to keep track of progress made and identify opportunities for reform..</p><p>To cite as OECD (2024), Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down, OECD Series on Carbon Pricing and Energy Taxation, OECD Publishing, Paris, <a href="https://doi.org/10.1787/b44c74e6-en">https://doi.org/10.1787/b44c74e6-en</a></p><p><a href="https://www.oecd.org/en/publications/pricing-greenhouse-gas-emissions-2024_b44c74e6-en.html">Pricing Greenhouse Gas Emissions</a></p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> Le potentiel de recettes découlant de la réforme des subventions aux combustibles fossiles et du prix du carbone montre l'augmentation des recettes si les TECs nets (Net ECRs) étaient augmentés pour atteindre un niveau de référence de 120 EUR par tonne de CO2 pour tous les combustibles fossiles. Les recettes fiscales nettes de l'énergie sont une estimation ascendante des recettes nettes résultant des taxes et des subventions sur l'énergie, ainsi que des recettes provenant de la mise aux enchères des permis d'émission de CO2 liés à l'énergie.<p>Companion dataset to S&eacute;rie de publications de l&rsquo;OCDE sur la tarification du carbone et la fiscalit&eacute; des &eacute;nergies.</p><p>The "Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down" report tracks how explicit carbon prices, energy taxes and subsidies that lower pre-tax prices on emissions or energy products have evolved between 2021 and 2023 across 79 countries, covering approximately 82% of global greenhouse gas (GHG) emissions. Explicit carbon prices, energy taxes and subsidies are detailed by country, sector, product and instrument. The use of a common methodology ensures comparability across countries. Summary indicators facilitate cross country comparisons and allow policy makers and the public to keep track of progress made and identify opportunities for reform..</p><p>To cite as OECD (2024), Pricing Greenhouse Gas Emissions 2024: Gearing Up to Bring Emissions Down, OECD Series on Carbon Pricing and Energy Taxation, OECD Publishing, Paris, <a href="https://doi.org/10.1787/b44c74e6-en">https://doi.org/10.1787/b44c74e6-en</a></p><p><a href="https://www.oecd.org/en/publications/pricing-greenhouse-gas-emissions-2024_b44c74e6-en.html">Pricing Greenhouse Gas Emissions</a></p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW MEASURE LAYOUT_COLUMN Country-by-country reporting (CbCR) requirements - Corporate tax statistics Exigences de déclaration pays par pays - Statistiques de l'impôt sur les sociétés <div class="col-sm-12"><p>This table reports an overview for MNEs and tax administrations as to which members of the OECD/G20 Inclusive Framework on BEPS (Inclusive Framework) have introduced a CbC reporting obligation and basic facts concerning when these obligations come into effect and how they operate.<p>Under BEPS Action 13, all large multinational enterprises (MNEs) are required to prepare a country-by-country (CbC) report with aggregate data on the global allocation of income, profit, taxes paid and economic activity among tax jurisdictions in which it operates. This CbC report is shared with tax administrations in these jurisdictions, for use in high level transfer pricing and BEPS risk assessments.</p><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/tax/beps/beps-actions/action13/" target="_blank">BEPS Action 13 Country-by-Country Reporting</a></div> <div class="col-sm-12"><p>Dans le cadre de l'action 13 du BEPS, toutes les grandes entreprises multinationales (EMN) sont tenues de préparer un rapport pays par pays (CbC) contenant des données agrégées sur la répartition mondiale des revenus, des bénéfices, des impôts payés et de l'activité économique entre les juridictions fiscales dans lesquelles elles exercent leurs activités. This CbC report is shared with tax administrations in these jurisdictions, for use in high level transfer pricing and BEPS risk assessments. Cette base de données fournit aux entreprises multinationales et aux administrations fiscales une vue d'ensemble des membres du Cadre inclusif OCDE/G20 sur le BEPS (Cadre inclusif) qui ont introduit une obligation de déclaration CbC, ainsi que des informations de base concernant la date d'entrée en vigueur de ces obligations et leur mode de fonctionnement.</p><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/tax/beps/beps-actions/action13/" target="_blank">BEPS Action 13 Country-by-Country Reporting</a></div> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION REGIME,FREQ NOT_DISPLAYED LASTNPERIODS=1 DEFAULT Controlled foreign company rules - Corporate tax statistics Règles relatives aux sociétés étrangères contrôlées - Statistiques de l'impôt sur les sociétés <div class="col-sm-12"><p>The 2015 BEPS Action 3 report set out recommended approaches to the development of controlled foreign company (CFC) rules to ensure the taxation of certain categories of MNE income in the jurisdiction of the parent company in order to counter certain offshore structures that result in no or indefinite deferral of taxation. Comprehensive and effective CFC rules have the effect of reducing the incentive to shift profits from a market jurisdiction into a low-tax jurisdiction.</p><p>The OECD gathers information on progress related to the implementation of Action 3, namely:</p><ul><li>whether a jurisdiction has CFC rules in place;</li><li>the definition of CFC income,</li><li>whether CFC rules include a substantial economic activity test and, if so, the nature of the test, and, finally, whether any exceptions apply.</li></ul><p>In general, a CFC is defined as a foreign company that is either directly or indirectly controlled by a resident taxpayer. Jurisdictions apply a variety of criteria to determine control. Some approaches make reference to voting rights held by resident taxpayers or to shareholder value held by resident taxpayers, while others stipulate that a foreign company is a CFC if it carries out its operations in a low-tax jurisdiction and others base CFC designation on a taxation test (i.e., if the foreign company does not pay tax in its jurisdiction of residence). Jurisdictions also vary in their definitions of CFC income, with some applying CFC rules to any type of income while others apply them to only passive income (i.e., income from interest, rental property, dividends, royalties or capital gains). Finally, jurisdictions also vary in the presence of substantial activity tests.</p><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/tax/beps/beps-actions/action3/" target="_blank">BEPS Action 3 Controlled Foreign Company</a></div> <div class="col-sm-12"><p>Le rapport BEPS Action 3 de 2015 a recommandé des approches pour l'élaboration de règles relatives aux sociétés étrangères contrôlées (SEC) visant à garantir l'imposition de certaines catégories de revenus des entreprises multinationales dans la juridiction de la société mère, afin de contrer certaines structures offshore qui entraînent un report d'imposition nul ou indéfini. Des règles complètes et efficaces en matière de CFC ont pour effet de réduire l'incitation à transférer les bénéfices d'une juridiction de marché vers une juridiction à faible taux d'imposition.</p><p> L'OCDE recueille des informations sur les progrès liés à la mise en œuvre de l'action 3, à savoir :</p><ul><li>l'existence ou non de règles relatives aux CFC dans une juridiction ;</li><li>la définition des revenus des CFC,</li><li>si les règles relatives aux CFC comprennent un test d'activité économique substantielle et, dans l'affirmative, la nature de ce test, et, enfin, si des exceptions s'appliquent</li></ul><p> En général, une CFC est définie comme une société étrangère contrôlée directement ou indirectement par un contribuable résident. Les juridictions appliquent divers critères pour déterminer le contrôle. Certaines approches font référence aux droits de vote détenus par les contribuables résidents ou à la valeur des actions détenues par les contribuables résidents, tandis que d'autres stipulent qu'une société étrangère est une CFC si elle exerce ses activités dans une juridiction à faible taux d'imposition et que d'autres encore fondent la désignation d'une CFC sur un critère fiscal (c'est-à-dire si la société étrangère ne paie pas d'impôt dans sa juridiction de résidence). Les juridictions varient également dans leur définition du revenu CFC, certaines appliquant les règles CFC à tout type de revenu tandis que d'autres ne les appliquent qu'aux revenus passifs (c'est-à-dire les revenus provenant d'intérêts, de biens locatifs, de dividendes, de redevances ou de plus-values). Enfin, les juridictions varient également en ce qui concerne l'existence de tests d'activité substantielle.</p><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/tax/beps/beps-actions/action3/" target="_blank">BEPS Action 3 Controlled Foreign Company</a></div> NonProductionDataflow true REF_AREA,REGIME LAYOUT_ROW MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION REGIME NOT_DISPLAYED LASTNPERIODS=1 DEFAULT Interest limitation rules - Corporate tax statistics Règles de limitation des intérêts - Statistiques de l'impôt sur les sociétés <div class="col-sm-12"><p>The OECD/G20 BEPS project identified the deductibility of interest as an important area of attention. In particular, profit shifting can arise from arrangements using third party debt (e.g., where one entity or jurisdiction bears an excessive proportion of the group’s total net third party interest expense) and intragroup debt (e.g., where a group uses intragroup interest expense to shift taxable income from high tax to low tax jurisdictions).</p><p>In response, the 2015 BEPS Action 4 report focused on the use of all types of debt giving rise to excessive interest expense or used to finance the production of exempt or deferred income. In particular, the Action 4 final report established rules that linked an entity’s net interest deductions to its level of economic activity within the jurisdiction, measured using taxable earnings before interest income, tax, depreciation and amortisation. This included three main elements:</p><ul><li>A fixed ratio rule based on a benchmark net interest/EBITDA ratio</li><li>A group ratio rule allowing an entity to deduct more interest expense based on the position of its worldwide group</li><li>Targeted rules to address specific risks not addressed by the general rule.</li></ul><p>Further work on two aspects of the approach outlined in the Action 4 report was completed in 2017. The first addressed key elements of the design and operation of the group ratio rule, focusing on the calculation of net third party interest expense, the calculation of group-EBITDA and approaches to address the impact of entities with negative EBITDA. The second identified features of the banking and insurance sectors which can constrain the ability of groups to engage in BEPS involving interest, together with limits on these constraints, and approaches to deal with risks posed by entities in these sectors.</p><p>The OECD gathers information on progress related to the implementation of Action 4, namely, whether a jurisdiction has an interest limitation rule in place and, if so, the main design features of the rule. Design features include:</p><ul><li>the type of rule (e.g., thin capitalisation, earnings stripping)</li><li>the financial ratio referenced</li><li>whether the rule is applicable to net or gross interest</li><li>whether the rule is applicable to related party debt and/or third party debt</li><li>whether a de minimus threshold is present</li><li>whether any exclusions apply</li><li>whether any loss carry-back or carry-forward provisions apply</li></ul><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/tax/beps/beps-actions/action4/" target="_blank">BEPS Action 4 Interest Limitation Rules</a></div> <div class="col-sm-12"><h3>A propos de la base de données Règles de limitation des intérêts (ILR)</h3><p>Le projet BEPS de l'OCDE/G20 a identifié la déductibilité des intérêts comme un domaine d'attention important. En particulier, le transfert de bénéfices peut résulter d'arrangements utilisant des dettes de tiers (par exemple, lorsqu'une entité ou une juridiction supporte une proportion excessive du total des charges nettes d'intérêts de tiers du groupe) et des dettes intragroupe (par exemple, lorsqu'un groupe utilise des charges d'intérêts intragroupe pour transférer des revenus imposables de juridictions à fiscalité élevée vers des juridictions à fiscalité faible).</p><p>En réponse, le rapport 2015 BEPS Action 4 s'est concentré sur l'utilisation de tous les types de dettes donnant lieu à des charges d'intérêts excessives ou utilisées pour financer la production de revenus exonérés ou différés. En particulier, le rapport final de l'Action 4 a établi des règles qui lient les déductions d'intérêts nets d'une entité à son niveau d'activité économique dans la juridiction, mesuré à l'aide des bénéfices imposables avant revenus d'intérêts, impôts, dépréciation et amortissement. Ces règles comportaient trois éléments principaux :</p><ul><li>Une règle de ratio fixe basée sur un ratio d'intérêt net/excédent brut d'exploitation de référence</li><li>Une règle de ratio de groupe permettant à une entité de déduire davantage de charges d'intérêt en fonction de la position de son groupe mondial.</li><li>Des règles ciblées pour faire face à des risques spécifiques non pris en compte par la règle générale.</li></ul><p>Des travaux supplémentaires sur deux aspects de l'approche décrite dans le rapport sur l'action 4 ont été menés à bien en 2017. Le premier a porté sur des éléments clés de la conception et du fonctionnement de la règle du ratio de groupe, en se concentrant sur le calcul des charges d'intérêt nettes des tiers, le calcul de l'EBITDA du groupe et les approches pour traiter l'impact des entités ayant un EBITDA négatif. La seconde a identifié les caractéristiques des secteurs de la banque et de l'assurance qui peuvent limiter la capacité des groupes à s'engager dans le BEPS impliquant des intérêts, ainsi que les limites de ces contraintes, et les approches pour traiter les risques posés par les entités de ces secteurs.</p><p>L'OCDE recueille des informations sur les progrès liés à la mise en œuvre de l'Action 4, à savoir si une juridiction a mis en place une règle de limitation des intérêts et, dans l'affirmative, les principales caractéristiques de la conception de la règle. Les caractéristiques de conception comprennent:</p><ul><li>le type de règle (par exemple, capitalisation restreinte, dépouillement des bénéfices)</li><li>le ratio financier auquel il est fait référence</li><li>si la règle s'applique aux intérêts nets ou bruts</li><li>si la règle s'applique à la dette d'une partie liée et/ou à la dette d'un tiers</li><li>l'existence ou non d'un seuil de minimus</li><li>si des exclusions s'appliquent</li><li>si des dispositions relatives au report de pertes en arrière ou en avant s'appliquent</li></ul><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/tax/beps/beps-actions/action4/" target="_blank">BEPS Action 4 Interest Limitation Rules</a></div> NonProductionDataflow true REF_AREA,REGIME LAYOUT_ROW MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION REGIME NOT_DISPLAYED LASTNPERIODS=1 DEFAULT Intellectual properties regimes - Corporate tax statistics Régimes de propriété intellectuelle - Statistiques de l'impôt sur les sociétés <div class="col-sm-12"><p>This tables shows information on intellectual property (IP) regimes reviewed by the OECD’s Forum on Harmful Tax Practices (FHTP).IP regimes allow income from the exploitation of IP to be taxed at a lower rate than the standard statutory tax rate.</p><p>IP regimes can be regimes that exclusively provide benefits to income from IP, but some preferential regimes categorised as IP regimes are “dual category” regimes. These regimes also provide benefits to income from other geographically mobile activities or provide benefits to a wide range of activities and do not necessarily exclude income from IP. The table shows information both on regimes that narrowly target IP income and on regimes that offer reduced rates to IP income and other types of income.</p><p>As agreed as part of the BEPS Action 5 minimum standard, peer reviews are undertaken to identify features of IP regimes that can facilitate base erosion and profit shifting (BEPS) and therefore have the potential to unfairly impact the tax base of other jurisdictions. The Action 5 Report placed a renewed focus on requiring substantial activity for any preferential regime, and the “nexus approach” is the substantial activity requirement developed for IP regimes. The nexus approach requires a link between the income benefiting from the IP regime and the extent to which the taxpayer has undertaken the underlying R&D that generated the IP asset. In addition to the nexus approach, features of regimes such as ring-fencing from the domestic economy and a lack of transparency are also considered in the peer reviews.</p><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/tax/beps/inclusive-framework-on-beps-progress-report-july-2018-may-2019.htm" target="_blank">OECD/G20 Inclusive Framework on BEPS: Progress Report July 2018-May 2019</a></div> <div class="col-sm-12"><p>Ce tableau présente des informations sur les régimes de propriété intellectuelle (PI) examinés par le Forum sur les pratiques fiscales dommageables (FHTP) de l'OCDE. Les régimes de PI permettent d'imposer les revenus tirés de l'exploitation de la PI à un taux inférieur au taux d'imposition légal normal. </p><p>Les régimes de PI peuvent être des régimes qui accordent des avantages exclusivement aux revenus tirés de la PI, mais certains régimes préférentiels classés comme régimes de PI sont des régimes "à double catégorie". Ces régimes profitent également aux revenus provenant d'autres activités géographiquement mobiles ou profitent à un large éventail d'activités et n'excluent pas nécessairement les revenus provenant de la propriété intellectuelle. Comme convenu dans le cadre de la norme minimale de l'Action 5 du BEPS, des examens par les pairs sont entrepris pour identifier les caractéristiques des régimes de propriété intellectuelle qui peuvent faciliter l'érosion de la base d'imposition et le transfert de bénéfices (BEPS) et qui sont donc susceptibles d'avoir un impact injuste sur la base d'imposition d'autres juridictions. Le rapport sur l'action 5 a remis l'accent sur l'exigence d'une activité substantielle pour tout régime préférentiel, et l'"approche nexus" est l'exigence d'une activité substantielle développée pour les régimes de propriété intellectuelle. L'approche nexus exige un lien entre le revenu bénéficiant du régime de propriété intellectuelle et la mesure dans laquelle le contribuable a entrepris la R&D sous-jacente qui a généré l'actif de propriété intellectuelle. Outre l'approche par le lien, les caractéristiques des régimes, telles que l'isolement de l'économie nationale et le manque de transparence, sont également prises en compte dans les évaluations par les pairs.</p><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/tax/beps/inclusive-framework-on-beps-progress-report-july-2018-may-2019.htm" target="_blank">OECD/G20 Inclusive Framework on BEPS: Progress Report July 2018-May 2019</a></div> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CURRENCY LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Reference series of African countries Séries de référence sur les pays d'Afrique <p>The reference series include data for the gross domestic product for tax reporting years at market prices in national currency; in US dollars; and exchange rates in national currency per US dollar. These are used for calculating indicators presented in the latest <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a> publication. The data are extracted from OECD, national sources and the IMF.</p><p> The reference series are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les séries de référence comprennent des données sur le produit intérieur brut pour les années de déclaration fiscale aux prix du marché en monnaie nationale ; en dollars américains ; et les taux de change en monnaie nationale par dollar américain. Elles sont utilisées pour calculer les indicateurs présentés dans la dernière publication <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>. Les données sont extraites de l'OCDE, de sources nationales et du FMI. </p><p> Les séries de référence sont présentées dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine (ATAF), avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CURRENCY LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Reference series of Asia and the Pacific economies Séries de référence sur les pays économies d'Asie et du Pacifique <p>Les séries de référence comprennent des données sur le produit intérieur brut pour les années de déclaration fiscale aux prix du marché en monnaie nationale ; en dollars américains ; et les taux de change en monnaie nationale par dollar américain. Elles sont utilisées pour calculer les indicateurs présentés dans la dernière publication <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>. Les données sont extraites de l'OCDE, de sources nationales et du FMI. </p><p> Les séries de référence sont présentées dans <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS)</p> <p>The reference series include data for the gross domestic product for tax reporting years at market prices in national currency; in US dollars; and exchange rates in national currency per US dollar. These are used for calculating indicators presented in the latest <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a> publication. The data are extracted from OECD, national sources and the IMF. </p><p> The reference series are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CURRENCY LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Reference series of countries in the global database Séries de référence des statistiques des recettes publiques mondiales <p>The reference series include data for the gross domestic product for tax reporting years at market prices in national currency; in US dollars; and exchange rates in national currency per US dollar. The dataset combines data which are used for calculating indictors presented in the annual publications <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en.html">Revenue Statistics</a>, <a href="https://www.oecd.org/en/publications/revenue-statistics-in-latin-america-and-the-caribbean-2024_33e226ae-en.html">Revenue Statistics in Latin America and the Caribbean</a>, <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2023_15bc5bc6-en-fr.html">Revenue Statistics in Africa</a> and <a href="https://www.oecd.org/en/publications/revenue-statistics-in-asia-and-the-pacific-2024_e4681bfa-en.html">Revenue Statistics in Asia and the Pacific</a>. The data are extracted from OECD, national sources and the IMF.</p> Les séries de référence comprennent des données sur le produit intérieur brut pour les années de déclaration fiscale aux prix du marché en monnaie nationale ; en dollars américains ; et les taux de change en monnaie nationale par dollar américain. L'ensemble de données combine des données provenant des publications annuelles qui sont utilisées pour le calcul des indicateurs dans les publications <"https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr.html">Statistiques des recettes publiques </a>, , <"https://www.oecd.org/fr/publications/revenue-statistics-in-africa-2023_15bc5bc6-en-fr.html">Statistiques des recettes publiques en Afrique</a> et <"https://www.oecd.org/en/publications/revenue-statistics-in-asia-and-the-pacific-2024_e4681bfa-en.html">Statistiques des recettes publiques en Asie et dans le Pacifique</a>. NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CURRENCY LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Reference series of Latin American and Caribbean countries Séries de référence sur les pays d'Amérique latine et des Caraïbes These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CURRENCY LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Reference series of OECD member countries Séries de référence sur les pays membres de l'OCDE <p>The reference series include data for the gross domestic product for tax reporting years at market prices in national currency and exchange rates in national currency per US dollar, which are used for calculating indicators presented in the latest <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a> publication. The data are extracted from OECD, national sources and the IMF.</p><p>The reference series are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les séries de référence comprennent des données sur le produit intérieur brut pour les années de déclaration fiscale aux prix du marché en monnaie nationale, et les taux de change en monnaie nationale par dollar américain. Elles sont utilisées pour calculer les indicateurs présentés dans la dernière publication des <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>. Les données sont extraites de l'OCDE, de sources nationales et du FMI.</p><p>Les séries de référence sont présentées dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Burkina Faso Recettes fiscales et non fiscales détaillées du Burkina Faso <p>Burkina Faso’s tax and non-tax revenues are presented in national currency from 2000 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Burkina Faso’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Burkina Faso sont présentées en monnaie nationale à partir de 2000</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Botswana Recettes fiscales et non fiscales détaillées du Botswana <p>Botswana’s tax and non-tax revenues are presented in national currency from 2004 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Botswana’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Botswana sont présentées en monnaie nationale à partir de 2004</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Côte d'Ivoire Recettes fiscales et non fiscales détaillées de la Côte d'Ivoire <p>Côte d'Ivoire’s tax and non-tax revenues are presented in national currency from 1990 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Côte d'Ivoire’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales de la Côte d'Ivoire sont présentées en monnaie nationale à partir de 1990</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Cameroon Recettes fiscales et non fiscales détaillées du Cameroun <p>Cameroon’s tax and non-tax revenues are presented in national currency from 1993 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Cameroon’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Cameroun sont présentées en monnaie nationale à partir de 1993</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of the Democratic Republic of the Congo Recettes fiscales et non fiscales détaillées de la République démocratique du Congo <p>The Democratic Republic of the Congo’s tax and non-tax revenues are presented in national currency from 2000 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>The Democratic Republic of the Congo’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales de la République démocratique du Congo sont présentées en monnaie nationale à partir de 2000</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of the Republic of the Congo Recettes fiscales et non fiscales détaillées de la République du Congo <p>Congo’s tax and non-tax revenues are presented in national currency from 1998 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Congo’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Congo sont présentées en monnaie nationale à partir de 1998</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. </p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Cabo Verde Recettes fiscales et non fiscales détaillées du Cabo Verde <p>Cabo Verde’s tax and non-tax revenues are presented in national currency from 1990 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Cabo Verde’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Cabo Verde sont présentées en monnaie nationale à partir de 1990</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Egypt Recettes fiscales et non fiscales détaillées de l'Égypte <p>Egypt’s tax and non-tax revenues are presented in national currency from 2002 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Egypt’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales de l'Égypte sont présentées en monnaie nationale à partir de 2002</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Gabon Recettes fiscales et non fiscales détaillées du Gabon <p>Gabon’s tax and non-tax revenues are presented in national currency from 2007 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Gabon’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Gabon sont présentées en monnaie nationale à partir de 2007</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Ghana Recettes fiscales et non fiscales détaillées du Ghana <p>Ghana’s tax and non-tax revenues are presented in national currency from 2000 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Ghana’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Ghana sont présentées en monnaie nationale à partir de 2000</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Guinea Recettes fiscales et non fiscales détaillées de la Guinée <p>Guinea’s tax and non-tax revenues are presented in national currency from 2000 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Guinea’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales de la Guinée sont présentées en monnaie nationale à partir de 2000</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Equatorial Guinea Recettes fiscales et non fiscales détaillées de la Guinée équatoriale <p>Equatorial Guinea’s tax and non-tax revenues are presented in national currency from 2005 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Equatorial Guinea’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales de la Guinée équatoriale sont présentées en monnaie nationale à partir de 2005</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Kenya Recettes fiscales et non fiscales détaillées du Kenya <p>Kenya’s tax and non-tax revenues are presented in national currency from 2001 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Kenya’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Kenya sont présentées en monnaie nationale à partir de 2001</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Lesotho Recettes fiscales et non fiscales détaillées du Lesotho <p>Lesotho’s tax and non-tax revenues are presented in national currency from 2004 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Lesotho’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Lesotho sont présentées en monnaie nationale à partir de 2004</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Morocco Recettes fiscales et non fiscales détaillées du Maroc <p>Morocco’s tax and non-tax revenues are presented in national currency from 2000 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Morocco’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Maroc sont présentées en monnaie nationale à partir de 2000</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Madagascar Recettes fiscales et non fiscales détaillées du Madagascar <p>Madagascar’s tax and non-tax revenues are presented in national currency from 1993 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Madagascar’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Madagascar sont présentées en monnaie nationale à partir de 1993</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.r</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Mali Recettes fiscales et non fiscales détaillées du Mali <p>Mali’s tax and non-tax revenues are presented in national currency from 1992 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Mali’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Mali sont présentées en monnaie nationale à partir de 1992</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=11 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Mozambique Recettes fiscales et non fiscales détaillées du Mozambique <p>Mozambique's tax and non-tax revenues are presented in national currency from 2006 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Mali’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Mozambique sont présentées en monnaie nationale à partir de 1992</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Mauritania Recettes fiscales et non fiscales détaillées de la Mauritanie <p>Mauritania’s tax and non-tax revenues are presented in national currency from 2007 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Mauritania’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales de la Mauritanie sont présentées en monnaie nationale à partir de 2007</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Mauritius Recettes fiscales et non fiscales détaillées du Maurice <p>Mauritius’s tax and non-tax revenues are presented in national currency from 1990 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Mauritius’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Maurice sont présentées en monnaie nationale à partir de 1990</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Malawi Recettes fiscales et non fiscales détaillées du Malawi <p>Malawi’s tax and non-tax revenues are presented in national currency from 2005 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Malawi’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Malawi sont présentées en monnaie nationale à partir de 2005</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Namibia Recettes fiscales et non fiscales détaillées de la Namibie <p>Namibia’s tax and non-tax revenues are presented in national currency from 2000 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Namibia’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales de la Namibie sont présentées en monnaie nationale à partir de 2000</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Niger Recettes fiscales et non fiscales détaillées du Niger <p>Niger’s tax and non-tax revenues are presented in national currency from 2000 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Niger’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Niger sont présentées en monnaie nationale à partir de 2000</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Nigeria Recettes fiscales et non fiscales détaillées du Nigéria <p>Nigeria’s tax and non-tax revenues are presented in national currency from 2010 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Nigeria’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Nigéria sont présentées en monnaie nationale à partir de 2010</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Rwanda Recettes fiscales et non fiscales détaillées du Rwanda <p>Rwanda’s tax and non-tax revenues are presented in national currency from 1996 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Rwanda’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Rwanda sont présentées en monnaie nationale à partir de 1996</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Senegal Recettes fiscales et non fiscales détaillées du Sénégal <p>Senegal’s tax and non-tax revenues are presented in national currency from 1997 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Senegal’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Sénégal sont présentées en monnaie nationale à partir de 1997</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Sierra Leone Recettes fiscales et non fiscales détaillées de la Sierra Leone <p>Sierra Leone’s tax and non-tax revenues are presented in national currency from 2001 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Sierra Leone’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales de la Sierra Leone sont présentées en monnaie nationale à partir de 2001</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=11 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Somalia Recettes fiscales et non fiscales détaillées de la Somalie <p>Somalia’s tax and non-tax revenues are presented in national currency from 2013 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Sierra Leone’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales de la Somalie sont présentées en monnaie nationale à partir de 2001</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Eswatini Recettes fiscales et non fiscales détaillées de l'Eswatini <p>Eswatini’s tax and non-tax revenues are presented in national currency from 1995 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Eswatini’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales de l'Eswatini sont présentées en monnaie nationale à partir de 1995</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of the Seychelles Recettes fiscales et non fiscales détaillées des Seychelles <p>Seychelles’s tax and non-tax revenues are presented in national currency from 2008 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Seychelles’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales des Seychelles sont présentées en monnaie nationale à partir de 2008</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Chad Recettes fiscales et non fiscales détaillées du Tchad <p>Chad’s tax and non-tax revenues are presented in national currency from 2010 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Chad’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Tchad sont présentées en monnaie nationale à partir de 2010</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Togo Recettes fiscales et non fiscales détaillées du Togo <p>Togo’s tax and non-tax revenues are presented in national currency from 2000 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Togo’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales du Togo sont présentées en monnaie nationale à partir de 2000</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Tunisia Recettes fiscales et non fiscales détaillées de la Tunisie <p>Tunisia’s tax and non-tax revenues are presented in national currency from 2000 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Tunisia’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales de la Tunisie sont présentées en monnaie nationale à partir de 2000</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Uganda Recettes fiscales et non fiscales détaillées de l'Ouganda <p>Uganda’s tax and non-tax revenues are presented in national currency from 1992 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>Uganda’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales de l'Ouganda sont présentées en monnaie nationale à partir de 1992</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of South Africa Recettes fiscales et non fiscales détaillées de l'Afrique du Sud <p>South Africa’s tax and non-tax revenues are presented in national currency from 1990 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>South Africa’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales de l'Afrique du Sud sont présentées en monnaie nationale à partir de 1990</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=11 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Zambia Recettes fiscales et non fiscales détaillées de la Zambie <p>Zambia’s tax and non-tax revenues are presented in national currency from 2012 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 African countries and with the averages of other regions and of OECD member countries. </p><p>South Africa’s tax and non-tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_AFRICA%40DF_RSAFRICA&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics in Africa</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 African countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2024_78e9af3a-en.html">Revenue Statistics in Africa</a>, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Les recettes fiscales et non fiscales de la Zambie sont présentées en monnaie nationale à partir de 1990</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 pays africains et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true Details of tax revenue, all AFRICA countries Details of tax revenue, all AFRICA countries NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Armenia Recettes fiscales détaillées de l'Arménie <p>Armenia’s tax revenues are presented in national currency from 2010 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Armenia’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales de l'Arménie sont présentées en monnaie nationale à partir de 2010</p><p>. Les recettes fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de l'Arménie</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Australia in Revenue Statistics of Asia and the Pacific Recettes fiscales détaillées de l'Australie - Statistiques des recettes publiques en Asie et Pacifique <p>Australia’s tax revenues are presented in national currency from 1990 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Australia’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales de l'Australie sont présentées en monnaie nationale à partir de 1990</p><p>. Les recettes fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de l'Australie</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Azerbaijan Recettes fiscales détaillées de l'Azerbaïdjan <p>Azerbaijan’s tax revenues are presented in national currency from 2014 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Azerbaijan’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales de l'Azerbaïdjan sont présentées en monnaie nationale à partir de 2014</p><p>. Les recettes fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de l'Azerbaïdjan</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Bangladesh Recettes fiscales détaillées du Bangladesh <p>Bangladesh’s tax revenues are presented in national currency from 2000 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Bangladesh’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales du Bangladesh sont présentées en monnaie nationale à partir de 2000</p><p>. Les recettes fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Bangladesh</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Bhutan Recettes fiscales et non fiscales détaillées du Bhoutan <p>Bhutan’s tax and non-tax revenues are presented in national currency from 2008 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Bhutan’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales du Bhoutan sont présentées en monnaie nationale à partir de 2008</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Bhoutan</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of China Recettes fiscales détaillées de la Chine <p>China’s tax revenues are presented in national currency from 2007 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>China’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales de la Chine sont présentées en monnaie nationale à partir de 2007</p><p>. Les recettes fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de la Chine</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Cook Islands Recettes fiscales et non fiscales détaillées des Îles Cook <p>Cook Islands’s tax and non-tax revenues are presented in national currency from 2006 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Cook Islands’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales des Îles Cook sont présentées en monnaie nationale à partir de 2006</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. des Îles Cook</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Fiji Recettes fiscales et non fiscales détaillées du Fidji <p>Fiji’s tax and non-tax revenues are presented in national currency from 2008 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Fiji’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales du Fidji sont présentées en monnaie nationale à partir de 2008</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Fidji</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Georgia Recettes fiscales détaillées de la Géorgie <p>Georgia’s tax revenues are presented in national currency from 1995 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Georgia’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales de la Géorgie sont présentées en monnaie nationale à partir de 1995</p><p>. Les recettes fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de la Géorgie</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Hong Kong, China Recettes fiscales et non fiscales détaillées de Hong Kong (Chine) <p>Hong Kong (China)’s tax revenues are presented in national currency from 2010 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Hong Kong (China)’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales de Hong Kong (Chine) sont présentées en monnaie nationale à partir de 2010</p><p>. Les recettes fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de Hong Kong (Chine)</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Indonesia Recettes fiscales détaillées de l'Indonésie <p>Indonesia’s tax revenues are presented in national currency from 1997 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Indonesia’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales de l'Indonésie sont présentées en monnaie nationale à partir de 1997</p><p>. Les recettes fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de l'Indonésie</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Japan in Revenue Statistics of Asia and the Pacific Recettes fiscales détaillées du Japon - Statistiques des recettes publiques en Asie et Pacifique <p>Japan’s tax revenues are presented in national currency from 1990 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Japan’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales du Japon sont présentées en monnaie nationale à partir de 1990</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Japon</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Kazakhstan Recettes fiscales et non fiscales détaillées du Kazakhstan <p>Kazakhstan’s tax and non-tax revenues are presented in national currency from 1998 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Kazakhstan’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales du Kazakhstan sont présentées en monnaie nationale à partir de 1998</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Kazakhstan</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Kyrgyzstan Recettes fiscales et non fiscales détaillées du Kirghizistan <p>Kyrgyzstan’s tax revenues are presented in national currency from 1990 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Kyrgyzstan’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales du Kirghizistan sont présentées en monnaie nationale à partir de 1990</p><p>. Les recettes fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Kirghizistan</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Cambodia Recettes fiscales et non fiscales détaillées du Cambodge <p>Cambodia’s tax and non-tax revenues are presented in national currency from 2005 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Cambodia’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales du Cambodge sont présentées en monnaie nationale à partir de 2005</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Cambodge</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Kiribati Recettes fiscales détaillées du Kiribati <p>Kiribati’s tax revenues are presented in national currency from 2010 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Kiribati’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales du Kiribati sont présentées en monnaie nationale à partir de 2010</p><p>. Les recettes fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Kiribati</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Korea in Revenue Statistics of Asia and the Pacific Recettes fiscales détaillées de la Corée - Statistiques des recettes publiques en Asie et Pacifique <p>Korea’s tax revenues are presented in national currency from 1990 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Korea’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales de la Corée sont présentées en monnaie nationale à partir de 1990</p><p>. Les recettes fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de la Corée</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Lao PDR Recettes fiscales et non fiscales détaillées de la RDP lao <p>Lao PDR’s tax and non-tax revenues are presented in national currency from 2010 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Lao PDR’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales de la RDP lao sont présentées en monnaie nationale à partir de 2010</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de la RDP lao</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Sri Lanka Recettes fiscales et non fiscales détaillées du Sri Lanka <p>Sri Lanka’s tax and non-tax revenues are presented in national currency from 2006 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Sri Lanka’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales du Sri Lanka sont présentées en monnaie nationale à partir de 2006</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Sri Lanka</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Maldives Recettes fiscales et non fiscales détaillées des Maldives <p>Maldives’s tax and non-tax revenues are presented in national currency from 2007 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Maldives’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales des Maldives sont présentées en monnaie nationale à partir de 2007</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. des Maldives</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Marshall Islands Recettes fiscales et non fiscales détaillées des Îles Marshall <p>Marshall Islands’s tax and non-tax revenues are presented in national currency from 2004 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Marshall Islands’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales des Îles Marshall sont présentées en monnaie nationale à partir de 2004</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. des Îles Marshall</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Mongolia Recettes fiscales et non fiscales détaillées de la Mongolie <p>Mongolia’s tax and non-tax revenues are presented in national currency from 2006 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Mongolia’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales de la Mongolie sont présentées en monnaie nationale à partir de 2006</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de la Mongolie</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Malaysia Recettes fiscales détaillées de la Malaisie <p>Malaysia’s tax revenues are presented in national currency from 1990 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Malaysia’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales de la Malaisie sont présentées en monnaie nationale à partir de 1990</p><p>. Les recettes fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de la Malaisie</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Nauru Recettes fiscales et non fiscales détaillées du Nauru <p>Nauru’s tax and non-tax revenues are presented in national currency from 2014 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Nauru’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales du Nauru sont présentées en monnaie nationale à partir de 2014</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Nauru</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of New Zealand in Revenue Statistics of Asia and the Pacific Recettes fiscales détaillées de la Nouvelle-Zélande - Statistiques des recettes publiques en Asie et Pacifique <p>New Zealand’s tax revenues are presented in national currency from 1990 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>New Zealand’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales de la Nouvelle Zélande sont présentées en monnaie nationale à partir de 1990</p><p>. Les recettes fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de la Nouvelle Zélande</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Pakistan Recettes fiscales et non fiscales détaillées du Pakistan <p>Pakistan’s tax and non-tax revenues are presented in national currency from 2011 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Pakistan’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales du Pakistan sont présentées en monnaie nationale à partir de 2011</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Pakistan</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Philippines Recettes fiscales et non fiscales détaillées des Philippines <p>The Philippines’s tax revenues are presented in national currency from 1994 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>The Philippines’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales des Philippines sont présentées en monnaie nationale à partir de 1994</p><p>. Les recettes fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. des Philippines</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Papua New Guinea Recettes fiscales et non fiscales détaillées de la Papouasie-Nouvelle-Guinée <p>Papua New Guinea’s tax and non-tax revenues are presented in national currency from 2002 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Papua New Guinea’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales de la Papouasie-Nouvelle-Guinée sont présentées en monnaie nationale à partir de 2002</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de la Papouasie-Nouvelle-Guinée</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Singapore Recettes fiscales et non fiscales détaillées du Singapour <p>Singapore’s tax and non-tax revenues are presented in national currency from 2000 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Singapore’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales du Singapour sont présentées en monnaie nationale à partir de 2000</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Singapour</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Solomon Islands Recettes fiscales et non fiscales détaillées des Îles Salomon <p>Solomon Islands’s tax revenues are presented in national currency from 2007 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Solomon Islands’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales des Îles Salomon sont présentées en monnaie nationale à partir de 2007</p><p>. Les recettes fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. des Îles Salomon</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Thailand Recettes fiscales et non fiscales détaillées du Thaïlande <p>Thailand’s tax and non-tax revenues are presented in national currency from 2000 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Thailand’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales de la Thaïlande sont présentées en monnaie nationale à partir de 2000</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de la Thaïlande</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Tokelau Recettes fiscales et non fiscales détaillées du Tokélaou <p>Tokelau’s tax and non-tax revenues are presented in national currency from 2006 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Tokelau’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales du Tokélaou sont présentées en monnaie nationale à partir de 2006</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Tokélaou</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Timor-Leste Recettes fiscales détaillées du Timor-Leste <p>Timor-Leste’s tax revenues are presented in national currency from 2012 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Timor-Leste’s tax and non-tax revenues are also included in , which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales du Timor-Leste sont présentées en monnaie nationale à partir de 2012</p><p>. Les recettes fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Timor-Leste</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Viet Nam Recettes fiscales et non fiscales détaillées du Viet Nam <p>Viet Nam’s tax and non-tax revenues are presented in national currency from 2003 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Viet Nam’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales du Viet Nam sont présentées en monnaie nationale à partir de 2003</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Viet Nam</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Vanuatu Recettes fiscales et non fiscales détaillées du Vanuatu <p>Vanuatu’s tax and non-tax revenues are presented in national currency from 2000 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Vanuatu’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales du Vanuatu sont présentées en monnaie nationale à partir de 2000</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Vanuatu</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Samoa Recettes fiscales et non fiscales détaillées du Samoa <p>Samoa’s tax and non-tax revenues are presented in national currency from 2005 and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis across 36 Asian and Pacific economies and with the averages of other regions and of OECD member countries. </p><p>Samoa’s tax and non-tax revenues are also included in <a href=“https://data-explorer.oecd.org/vis?tm=revenue%20statistics%20in%20asia%20and%20the%20pacific&pg=0&snb=39&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_ASAP%40DF_RSASAP&df[ag]=OECD.CTP.TPS&df[vs]=1.0”>Comparative tables of Revenue Statistics in Asia and the Pacific</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for 36 Asian and Pacific economies.</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales du Samoa sont présentées en monnaie nationale à partir de 2005</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre 36 économies en Asie et dans le Pacifique et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Samoa</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm”>Statistiques des recettes publiques en Asie et dans le Pacifique</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC NOT_DISPLAYED STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Comparative tables of Revenue Statistics in African countries Tableaux comparatifs des Statistiques des recettes publiques en Afrique <p>Detailed, internationally comparable data on the level and structure of <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a> are presented for 36 African countries from 1990 onwards. The classification approach is based on the well-established methodology of OECD Revenue Statistics, which is set out in the internationally recognised Interpretative Guides for tax revenues and non-tax revenues. Detailed country tables are also available in the OECD Data Explorer and provide information in national currency and by level of government.</p> <p>The detailed country tables and the comparative tables are reported in Revenue Statistics in Africa, an annual publication jointly produced by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the African Union Commission (AUC) and the African Tax Administration Forum (ATAF), with the financial support of the European Union.</p> <p>Des données détaillées et comparables au niveau international sur le niveau et la structure des recettes fiscales et non fiscales sont présentées pour 36 pays africains à partir de 1990 dans <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-en-afrique-2024_cd87af6f-fr.html">Statistiques des recettes publiques en Afrique</a>. L'approche de la classification est basée sur la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. Des tableaux détaillés par pays sont également disponibles dans l’Explorateur des données de l'OCDE et fournissent des informations en monnaie nationale et par niveau de gouvernement.</p> <p> Les tableaux détaillés par pays et les tableaux comparatifs figurent dans Statistiques des recettes publiques en Afrique, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales de l'OCDE, le Centre de développement de l'OCDE, la Commission de l'Union africaine (CUA) et le Forum sur l'administration fiscale africaine, avec le soutien financier de l'Union européenne.</p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC NOT_DISPLAYED STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Comparative tables of Revenue Statistics in Asia and the Pacific Tableaux comparatifs des Statistiques des recettes publiques en Asie et Pacifique <p>Detailed, internationally comparable data on the level and structure of tax and non-tax revenues are presented for 36 Asian and Pacific economies (four of which are OECD members) from 1990 onwards. The classification approach is based on the well-established methodology of the OECD Revenue Statistics, which is set out in the internationally recognised Interpretative Guides for <a href="https://www.oecd.org/en/publications/revenue-statistics-in-asia-and-the-pacific-2024_e4681bfa-en/full-report/component-9.html#annex-d1e197760-252e1d4dd3">tax revenues</a> and <a href="https://www.oecd.org/en/publications/revenue-statistics-in-asia-and-the-pacific-2024_e4681bfa-en/full-report/component-10.html#annex-d1e201838-e63a3a2da7">non-tax revenues</a>. Detailed country tables are also available in the OECD Data Explorer and provide information in national currency and by level of government.</p><p> The comparative tables are reported in <a href="https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm">Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Des données détaillées et comparables au niveau international sur le niveau et la structure des recettes fiscales et non fiscales sont présentées pour 36 économies en Asie et dans le Pacifique à partir de 1990. L'approche de la classification est basée sur la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd.org/en/publications/revenue-statistics-in-asia-and-the-pacific-2024_e4681bfa-en/full-report/component-10.html#annex-d1e201838-e63a3a2da7">non-tax revenues</a>. Des tableaux détaillés par pays sont également disponibles dans le Data Explorer de l'OCDE et fournissent des informations en monnaie nationale et par niveau de gouvernement.</p><p> Les tableaux comparatifs figurent dans<a href="https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm">Revenue Statistics in Asia and the Pacific</a>, une publication annuelle produite conjointement par le Centre de politique et d'administration fiscales et le Centre de développement de l'OCDE, en coopération avec la Banque asiatique de développement (BAD), l'Association des administrateurs fiscaux des îles du Pacifique (PITAA) et la Communauté du Pacifique (CPS).</p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC NOT_DISPLAYED STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Comparative tables of countries in the global database Tableaux comparatifs des statistiques des recettes publiques mondiales <p>Detailed, internationally comparable data on the level and structure of tax revenues for more than 130 economies are available from 1990 onwards. The dataset combines data from the annual publications <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en.html">Revenue Statistics</a>, <a href="https://www.oecd.org/en/publications/revenue-statistics-in-latin-america-and-the-caribbean-2024_33e226ae-en.html">Revenue Statistics in Latin America and the Caribbean</a>, <a href="https://www.oecd.org/en/publications/revenue-statistics-in-africa-2023_15bc5bc6-en-fr.html">Revenue Statistics in Africa</a> and <a href="https://www.oecd.org/en/publications/revenue-statistics-in-asia-and-the-pacific-2024_e4681bfa-en.html">Revenue Statistics in Asia and the Pacific</a> . It also includes data for countries that are not included in any regional publication. The classification approach is based on the well-established methodology of OECD Revenue Statistics, which is set out in the internationally recognised <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf">Interpretative Guide</a> for tax revenues. The detailed country tables are also available in the OECD Data Explorer and provide information in national currency and by level of government.</p> Des données détaillées et comparables au niveau international sur le niveau et la structure des recettes fiscales de plus de 130 économies sont disponibles depuis 1990. L'ensemble de données combine des données provenant des publications annuelles <"https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr.html">Statistiques des recettes publiques </a>, , <"https://www.oecd.org/fr/publications/revenue-statistics-in-africa-2023_15bc5bc6-en-fr.html">Statistiques des recettes publiques en Afrique</a>and <"https://www.oecd.org/en/publications/revenue-statistics-in-asia-and-the-pacific-2024_e4681bfa-en.html">Statistiques des recettes publiques en Asie et dans le Pacifique</a>. Il comprend également des données pour les pays qui ne figurent dans aucune publication régionale. L'approche de la classification est basée sur la méthodologie bien établie des Statistiques des revenus de l'OCDE, qui est exposée dans le <a href="https://www.oecd.org/content/dam/oecd/fr/topics/policy-sub-issues/recettes-fiscales-mondiales/ocde-classification-impots-guide-interpretation.pdf">Guide d' interprétation</a> des recettes fiscales, reconnu au niveau international. Les tableaux détaillés par pays sont également disponibles dans le Data Explorer de l'OCDE et fournissent des informations en monnaie nationale et par niveau de gouvernement. NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC NOT_DISPLAYED STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Comparative tables of Revenue Statistics in Latin America and the Caribbean Tableaux comparatifs des Statistiques des recettes publiques en Amérique latine et dans les Caraïbes These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC NOT_DISPLAYED STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Financing of social security benefits in OECD member countries Financement des prestations de sécurité sociale dans les pays membres de l'OCDE <p>Classified here are all compulsory payments that confer an entitlement to receive a (contingent) future social benefit. Such payments are usually earmarked to finance social benefits and are often paid to institutions of general government that provide such benefits. However, such earmarking is not part of the definition of social security contributions and is not required for a tax to be classified here. However, conferment of an entitlement is required for a tax to be classified under this heading. So, levies on income or payroll that are earmarked for social security funds but do not confer an entitlement to benefit are excluded from this heading and shown under personal income taxes (1100) or taxes on payroll and workforce (3000). Taxes on other bases, such as goods and services, which are earmarked for social security benefits are not shown here but are classified according to their respective bases because they generally confer no entitlement to social security benefits.</p> <p>Sont classés ici tous les paiements obligatoires qui confèrent un droit à recevoir une prestation sociale future (éventuelle). Ces paiements sont généralement affectés au financement de prestations sociales et sont souvent versés aux institutions des administrations publiques qui fournissent ces prestations. Toutefois, cette affectation ne fait pas partie de la définition des cotisations de sécurité sociale et n'est pas nécessaire pour qu'un impôt soit classé dans cette catégorie. En revanche, l'attribution d'un droit est nécessaire pour qu'un impôt soit classé dans cette rubrique. Ainsi, les prélèvements sur le revenu ou la masse salariale qui sont affectés aux fonds de sécurité sociale mais ne donnent pas droit à des prestations sont exclus de cette rubrique et figurent dans les impôts sur le revenu des personnes physiques (1100) ou les impôts sur la masse salariale et la main-d'œuvre (3000). Les impôts sur d'autres bases, telles que les biens et services, qui sont affectés aux prestations de sécurité sociale ne sont pas repris ici mais sont classés selon leurs bases respectives car ils ne donnent généralement pas droit à des prestations de sécurité sociale.</p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC NOT_DISPLAYED STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Comparative tables of Revenue Statistics in OECD member countries Tableaux comparatifs des Statistiques des recettes publiques pour les pays membres de l'OCDE <p>Detailed, internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries are available from 1965. Tax revenues are classified according to the well-established methodology of OECD Revenue Statistics, which is set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. Detailed country tables are also available in the OECD Data Explorer and provide information on tax revenues in national currency and by level of government.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Des données détaillées et comparables au niveau international sur le niveau et la structure des recettes fiscales sont présentées pour tous les pays de l'OCDE à partir de 1965. L'approche de la classification est basée sur la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. Des tableaux détaillés par pays sont également disponibles dans l’Explorateur des données de l'OCDE et fournissent des informations en monnaie nationale et par niveau de gouvernement.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC NOT_DISPLAYED STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Social security contributions and payroll taxes paid by government in OECD member countries Cotisations de sécurité sociale et impôts sur les salaires payés par les administrations publiques dans les pays membres de l'OCDE <p>Compulsory payments made by general government in respect of their employees. Voluntary and imputed contributions are excluded from these data. Contributions for the following types of social security benefits would, inter alia, be included: unemployment insurance benefits and supplements, accident, injury and sickness benefits, old-age, disability and survivors’ pensions, family allowances, reimbursements for medical and hospital expenses or provision of hospital or medical services. Contributions may be levied on both employees and employers.</p> <p>Paiements obligatoires effectués par les administrations publiques au titre de leurs employés. Les contributions volontaires et imputées sont exclues de ces données. Les cotisations pour les types de prestations de sécurité sociale suivants seraient, entre autres, incluses : prestations d'assurance chômage et suppléments, prestations d'accident, de blessure et de maladie, pensions de vieillesse, d'invalidité et de survie, allocations familiales, remboursements de frais médicaux et hospitaliers ou fourniture de services hospitaliers ou médicaux. Les cotisations peuvent être prélevées à la fois sur les salariés et les employeurs.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Bulgaria Recettes fiscales détaillées de la Bulgarie <p>Bulgaria’s tax revenues are presented in national currency from 1995 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">Interpetative Guide</a> for tax revenues. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis over 130 economies included in the <a href="LINK IS MISSING">Global Revenue Statistics database</a> and with the averages of OECD member countries as well as regional averages. </p><p>Bulgaria</p><p></p> <p>Les recettes fiscales Bulgarie sont présentées en monnaie nationale à partir de 1995</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">le Guide interprétatif </a> pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre plus de 130 économies inclus dans la <a href="LINK IS MISSING"> Base de données mondiale des statistiques des recettes publiques</a> et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. Bulgarie</p><p></p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Croatia Recettes fiscales détaillées de la Croatie <p>Croatia’s tax revenues are presented in national currency from 1995 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">Interpetative Guide</a> for tax revenues. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis over 130 economies included in the <a href="LINK IS MISSING">Global Revenue Statistics database</a> and with the averages of OECD member countries as well as regional averages. </p><p>Croatia</p><p></p> <p>Les recettes fiscales de la Croatie sont présentées en monnaie nationale à partir de 1995</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">le Guide interprétatif </a> pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre plus de 130 économies inclus dans la <a href="LINK IS MISSING"> Base de données mondiale des statistiques des recettes publiques</a> et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de la Croatie</p><p></p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Liechtenstein Recettes fiscales détaillées du Liechtenstein <p>Liechtenstein’s tax revenues are presented in national currency from 1998 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">Interpetative Guide</a> for tax revenues. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis over 130 economies included in the <a href=“LINK IS MISSING">Global Revenue Statistics database</a> and with the averages of OECD member countries as well as regional averages. </p><p>Liechtenstein</p><p></p> <p>Les recettes fiscales du Liechtenstein sont présentées en monnaie nationale à partir de 1998</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">le Guide interprétatif </a> pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre plus de 130 économies inclus dans la <a href="LINK IS MISSING"> Base de données mondiale des statistiques des recettes publiques</a> et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Liechtenstein</p><p></p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Malta Recettes fiscales détaillées de Malte <p>Malta’s tax revenues are presented in national currency from 1995 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">Interpetative Guide</a> for tax revenues. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis over 130 economies included in the <a href=“LINK IS MISSING">Global Revenue Statistics database</a> and with the averages of OECD member countries as well as regional averages. </p><p>Malta</p><p></p> <p>Les recettes fiscales du Malte sont présentées en monnaie nationale à partir de 1995</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">le Guide interprétatif </a> pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre plus de 130 économies inclus dans la <a href="LINK IS MISSING"> Base de données mondiale des statistiques des recettes publiques</a> et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. du Malte</p><p></p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Romania Recettes fiscales détaillées de la Roumanie <p>Romania’s tax revenues are presented in national currency from 1995 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">Interpetative Guide</a> for tax revenues. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis over 130 economies included in the <a href=“LINK IS MISSING">Global Revenue Statistics database</a> and with the averages of OECD member countries as well as regional averages. </p><p>Romania</p><p></p> <p>Les recettes fiscales de la Roumanie sont présentées en monnaie nationale à partir de 1995</p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">le Guide interprétatif </a> pour les recettes fiscales. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre plus de 130 économies inclus dans la <a href="LINK IS MISSING"> Base de données mondiale des statistiques des recettes publiques</a> et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de la Roumanie</p><p></p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax and non-tax revenue of Ukraine Recettes fiscales et non-fiscales détaillées de l'Ukraine <p>Ukraine’s tax and non-tax revenues are presented in national currency from and are available by level of government. Tax and non-tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the Interpretative Guide for <a href="https://www.oecd-ilibrary.org/the-oecd-classification-of-taxes-and-interpretative-guide_f7809a44-en.pdf?itemId=%2Fcontent%2Fcomponent%2Ff7809a44-en&mimeType=pdf">tax revenues</a> and <a href="https://www.oecd-ilibrary.org/docserver/0c9d0c21-en.pdf?expires=1720716906&id=id&accname=ocid84004878&checksum=3860B05AAFD5E0CEEFE8AE0F176957BC">non-tax revenues</a>. The OECD classification enables comparison of tax revenue levels and tax structures on a consistent basis over 130 economies included in the <a href=“LINK IS MISSING">Global Revenue Statistics database</a> and with the averages of OECD member countries as well as regional averages. </p><p>Ukraine</p><p>The detailed country tables and the comparative tables are reported in <a href=“https://www.oecd.org/tax/tax-policy/revenue-statistics-in-asia-and-the-pacific-5902c320-en.htm">Revenue Statistics in Asia and the Pacific</a>, an annual publication jointly produced by the OECD’s Centre for Tax Policy and Administration and the OECD Development Centre, in co-operation with the Asian Development Bank (ADB), the Pacific Islands Tax Administrators Association (PITAA) and the Pacific Community (SPC).</p> <p>Les recettes fiscales et non fiscales de l'Ukraine sont présentées en monnaie nationale à partir de </p><p>. Les recettes fiscales et non fiscales sont classées selon la méthodologie bien établie des statistiques de recettes de l'OCDE, exposée dans le Guide interprétatif pour les <a href="https://www.oecd-ilibrary.org/taxation/revenue-statistics-in-africa-2023_7dbbce0d-en-fr?mlang=fr">recettes fiscales</a> et <a href="https://www.oecd-ilibrary.org/docserver/47d80da5-en-fr.pdf?expires=1720701281&id=id&accname=ocid84004878&checksum=9811D146ED7B2AAC4B9F18B146C96E76">recettes non fiscales</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre plus de 130 économies inclus dans la <a href="LINK IS MISSING"> Base de données mondiale des statistiques des recettes publiques</a> et avec les moyennes d'autres régions et le moyenne des pays membres de l'OCDE. de l'Ukraine</p><p></p> NonProductionDataflow true Details of tax revenue, all GLOBAL countries Details of tax revenue, all GLOBAL countries NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Argentina Recettes fiscales détaillées de l'Argentine These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Antigua and Barbuda Recettes fiscales détaillées d'Antigua-et-Barbuda These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Bahamas Recettes fiscales détaillées des Bahamas These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Belize Recettes fiscales détaillées de Belize These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Bolivia Recettes fiscales détaillées de la Bolivie These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Brazil Recettes fiscales détaillées du Brésil These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Barbados Recettes fiscales détaillées de la Barbade These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Chile in Revenue Statistics in Latin America and the Caribbean Recettes fiscales détaillées du Chili - Statistiques des recettes publiques en Amérique latine et dans les Caraïbes These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Colombia in Revenue Statistics in Latin America and the Caribbean Recettes fiscales détaillées de la Colombie - Statistiques des recettes publiques en Amérique latine et dans les Caraïbes These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Costa Rica in Revenue Statistics in Latin America and the Caribbean Recettes fiscales détaillées du Costa Rica - Statistiques des recettes publiques en Amérique latine et dans les Caraïbes These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Cuba Recettes fiscales détaillées de Cuba These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Dominican Republic Recettes fiscales détaillées de la République dominicaine These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Ecuador Recettes fiscales détaillées de l'Équateur These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Guatemala Recettes fiscales détaillées du Guatemala These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Guyana Recettes fiscales détaillées du Guyana These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Honduras Recettes fiscales détaillées du Honduras These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Jamaica Recettes fiscales détaillées de la Jamaïque These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Saint Lucia Recettes fiscales détaillées de Sainte-Lucie These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Mexico in Revenue Statistics in Latin America and the Caribbean Recettes fiscales détaillées du Mexique - Statistiques des recettes publiques en Amérique latine et dans les Caraïbes These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Nicaragua Recettes fiscales détaillées du Nicaragua These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Panama Recettes fiscales détaillées du Panama These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Peru Recettes fiscales détaillées du Pérou These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Paraguay Recettes fiscales détaillées du Paraguay These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of El Salvador Recettes fiscales détaillées de El Salvador These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Trinidad and Tobago Recettes fiscales détaillées de Trinité-et-Tobago These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Uruguay Recettes fiscales détaillées d'Uruguay These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Venezuela Recettes fiscales détaillées du Vénézuela These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. The classification approach is based on the well-established methodology of the OECD Revenue Statistics database, which is an essential reference source for OECD member countries. <p>These tables are also reported in Revenue Statistics in <a href="https://www.oecd.org/tax/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Latin America and the Caribbean 2024</a>, a joint publication by the Organisation for Economic Co-operation and Development (OECD) Centre for Tax Policy and Administration, the OECD Development Centre, the United Nations Economic Commission for Latin America and the Caribbean (UN-ECLAC), the Inter-American Center of Tax Administrations (CIAT) and the Inter-American Development Bank (IDB), with financial support from the Spanish Agency for International Development Cooperation (AECID).</p> <p>Extending the OECD methodology to Latin American and Caribbean countries enables comparisons of tax systems on a consistent basis both across this region and with OECD countries. In a few cases, this methodology differs from the approach used by UN-ECLAC, CIAT and IDB; these differences are noted in the tables. Comparable tables show total tax revenue data and by tax as a percentage of GDP, and, for the different types of taxes, as a share of total taxation. Detailed country tables show information in national currency values. </p> Ces tableaux présentent des données détaillées et comparables au niveau international sur les recettes fiscales de 27 pays d'Amérique latine et des Caraïbes (ALC), dont quatre sont membres de l'OCDE. La classification est basée sur la méthodologie bien établie de la base de données des Statistiques des recettes publiques de l'OCDE, qui est une référence essentielle pour les pays membres de l'OCDE. <p>Ces tableaux figurent également dans <a href="https://www.oecd.org/fr/fiscalite/estadisticas-tributarias-en-america-latina-y-el-caribe-968f7de9-es.htm">Estadísticas tributarias en América Latina y el Caribe 2024</a>, une publication conjointe du Centre de politique et d'administration fiscales de l'Organisation de coopération et de développement économiques (OCDE), du Centre de développement de l'OCDE, de la Commission économique des Nations Unies pour l'Amérique latine et les Caraïbes (CEPALC), du Centre interaméricain des administrations fiscales (CIAT) et de la Banque interaméricaine de développement (BID), avec le soutien financier de l'Agence espagnole de coopération internationale pour le développement (AECID).</p> <p>L’application de la méthodologie de l'OCDE aux pays d'Amérique latine et des Caraïbes permet de comparer les recettes fiscales sur une base cohérente à la fois dans cette région et avec les pays de l'OCDE. Dans quelques cas, cette méthodologie diffère de l'approche utilisée par la CEPALC, la CIAT et la BID ; ces différences sont signalées dans les tableaux. Les tableaux comparatifs présentent des données comparables sur le total des recettes fiscales et les recettes fiscales par catégorie d’impôt en pourcentage du PIB ; Ils présentent aussi la part des différentes catégories d'impôt dans la composition des recettes fiscales totales. Les tableaux détaillés par pays présentent les recettes fiscales en monnaie nationale.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVAUS(1.0).H HIER_CONTEXT Details of tax revenue of Australia Recettes fiscales détaillées de l’Australie <p>Australia’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Australia’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de l’Australie sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de l’Australie sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Austria Recettes fiscales détaillées de l’Autriche <p>Austria’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Austria’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de l’Autriche sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de l’Autriche sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVBEL(1.0).H HIER_CONTEXT Details of tax revenue of Belgium Recettes fiscales détaillées de la Belgique <p>Belgium’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Belgium’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la Belgique sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la Belgique sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVCAN(1.0).H HIER_CONTEXT Details of tax revenue of Canada Recettes fiscales détaillées du Canada <p>Canada’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Canada’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales du Canada sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales du Canada sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Switzerland Recettes fiscales détaillées de la Suisse <p>Switzerland’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Switzerland’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la Suisse sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la Suisse sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Chile Recettes fiscales détaillées du Chili <p>Chile’s tax revenues are presented in national currency from 1990 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Chile’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales du Chili sont présentées en monnaie nationale à partir de 1990 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales du Chili sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Colombia Recettes fiscales détaillées de la Colombie <p>Colombia’s tax revenues are presented in national currency from 1990 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Colombia’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la Colombie sont présentées en monnaie nationale à partir de 1990 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la Colombie sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Costa Rica Recettes fiscales détaillées du Costa Rica <p>Costa Rica’s tax revenues are presented in national currency from 1990 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Costa Rica’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales du Costa Rica sont présentées en monnaie nationale à partir de 1990 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales du Costa Rica sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVCZE(1.0).H HIER_CONTEXT Details of tax revenue of Czechia Recettes fiscales détaillées de la Tchéquie <p>Czechia’s tax revenues are presented in national currency from 1993 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Czechia’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la Tchéquie sont présentées en monnaie nationale à partir de 1993 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la Tchéquie sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Germany Recettes fiscales détaillées de l’Allemagne <p>Germany’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Germany’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de l’Allemagne sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de l’Allemagne sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Denmark Recettes fiscales détaillées du Danemark <p>Denmark’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Denmark’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales du Danemark sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales du Danemark sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Spain Recettes fiscales détaillées de l’Espagne <p>Spain’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Spain’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de l’Espagne sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de l’Espagne sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Estonia Recettes fiscales détaillées de l’Estonie <p>Estonia’s tax revenues are presented in national currency from 1995 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Estonia’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de l’Estonie sont présentées en monnaie nationale à partir de 1995 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de l’Estonie sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Finland Recettes fiscales détaillées de la Finlande <p>Finland’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Finland’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la Finlande sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la Finlande sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of France Recettes fiscales détaillées de la France <p>France’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>France’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la France sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la France sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of the United Kingdom Recettes fiscales détaillées du Royaume-Uni <p>The United Kingdom’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>The United Kingdom’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales du Royaume-Uni sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales du Royaume-Uni sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVGRC(1.0).H HIER_CONTEXT Details of tax revenue of Greece Recettes fiscales détaillées de la Grèce <p>Greece’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Greece’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la Grèce sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la Grèce sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVHUN(1.0).H HIER_CONTEXT Details of tax revenue of Hungary Recettes fiscales détaillées de la Hongrie <p>Hungary’s tax revenues are presented in national currency from 1991 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Hungary’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la Hongrie sont présentées en monnaie nationale à partir de 1991 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la Hongrie sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Ireland Recettes fiscales détaillées de l’Irlande <p>Ireland’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Ireland’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de l’Irlande sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de l’Irlande sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Iceland Recettes fiscales détaillées de l’Islande <p>Iceland’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Iceland’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de l’Islande sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de l’Islande sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Israel Recettes fiscales détaillées d’Israël <p>Israel’s tax revenues are presented in national currency from 1995 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Israel’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales d’Israël sont présentées en monnaie nationale à partir de 1995 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales d’Israël sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Italy Recettes fiscales détaillées de l’Italie <p>Italy’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Italy’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de l’Italie sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de l’Italie sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Japan Recettes fiscales détaillées du Japon <p>Japan’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Japan’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales du Japon sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales du Japon sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Korea Recettes fiscales détaillées de la Corée <p>Korea’s tax revenues are presented in national currency from 1972 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Korea’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la Corée sont présentées en monnaie nationale à partir de 1972 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la Corée sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Lithuania Recettes fiscales détaillées de la Lituanie <p>Lithuania’s tax revenues are presented in national currency from 1995 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Lithuania’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la Lituanie sont présentées en monnaie nationale à partir de 1995 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la Lituanie sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Luxembourg Recettes fiscales détaillées du Luxembourg <p>Luxembourg’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Luxembourg’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales du Luxembourg sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales du Luxembourg sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVLVA(1.0).H HIER_CONTEXT Details of tax revenue of Latvia Recettes fiscales détaillées de la Lettonie <p>Latvia’s tax revenues are presented in national currency from 1995 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Latvia’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la Lettonie sont présentées en monnaie nationale à partir de 1995 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la Lettonie sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Mexico Recettes fiscales détaillées du Mexique <p>Mexico’s tax revenues are presented in national currency from 1980 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Mexico’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales du Mexique sont présentées en monnaie nationale à partir de 1980 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales du Mexique sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of the Netherlands Recettes fiscales détaillées des Pays-Bas <p>The Netherlands’ tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>The Netherlands’ tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales des Pays-Bas sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales des Pays-Bas sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Norway Recettes fiscales détaillées de la Norvège <p>Norway’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Norway’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la Norvège sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la Norvège sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of New Zealand Recettes fiscales détaillées de la Nouvelle-Zélande <p>New Zealand’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>New Zealand’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la Nouvelle-Zélande sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la Nouvelle-Zélande sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVPOL(1.0).H HIER_CONTEXT Details of tax revenue of Poland Recettes fiscales détaillées de la Pologne <p>Poland’s tax revenues are presented in national currency from 1991 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Poland’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la Pologne sont présentées en monnaie nationale à partir de 1991 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la Pologne sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Portugal Recettes fiscales détaillées du Portugal <p>Portugal’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Portugal’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales du Portugal sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales du Portugal sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of the Slovak Republic Recettes fiscales détaillées de la République slovaque <p>Slovak Republic’s tax revenues are presented in national currency from 1995 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Slovak Republic’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la République slovaque sont présentées en monnaie nationale à partir de 1995 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la République slovaque sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Slovenia Recettes fiscales détaillées de la Slovénie <p>Slovenia’s tax revenues are presented in national currency from 1995 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Slovenia’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la Slovénie sont présentées en monnaie nationale à partir de 1995 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la Slovénie sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Sweden Recettes fiscales détaillées de la Suède <p>Sweden’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Sweden’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la Suède sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la Suède sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of Türkiye Recettes fiscales détaillées de la Türkiye <p>Türkiye’s tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>Türkiye’s tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales de la Türkiye sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales de la Türkiye sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Details of tax revenue of the United States Recettes fiscales détaillées des États-Unis <p>The United States’ tax revenues are presented in national currency from 1965 and are available by level of government. Tax revenues are classified according to the well-established methodology of the OECD Revenue Statistics set out in the <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report/component-9.html#annex-d1e721795-20261f1c9f">Interpretative Guide</a>. The OECD classification enables comparisons of tax levels and tax structures on a consistent basis across all OECD countries.</p><p>The United States’ tax revenues are also included in <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&tm=Comparative%20&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false">Comparative tables of Revenue Statistics OECD countries</a>, which provide internationally comparable data on tax revenues as a percentage of GDP and on tax structures for all OECD countries.</p><p>The detailed country tables and the comparative tables are reported in <a href="https://www.oecd.org/en/publications/revenue-statistics-2023_9d0453d5-en/full-report.html">Revenue Statistics OECD</a>, an annual publication that presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards. <p>Les recettes fiscales des États-Unis sont présentées en monnaie nationale à partir de 1965 et sont disponibles par niveau de gouvernement. Les recettes fiscales sont classées selon la méthodologie bien établie des Statistiques des recettes publiques de l'OCDE, exposée dans le <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report/component-9.html#annex-d1e20-aa3340d7a1">Guide d’interprétation</a>. La classification de l'OCDE permet de comparer les niveaux de recettes fiscales et les structures fiscales sur une base cohérente entre les pays membres de l'OCDE.</p><p>Les recettes fiscales des États-Unis sont également incluses dans les <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=254&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REV_COMP_OECD%40DF_RSOECD&df[ag]=OECD.CTP.TPS&dq=..S13._T..PT_B1GQ.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=REF_AREA&lc=fr">Tableaux comparatifs des statistiques des recettes publiques des pays de l’OCDE</a>, qui fournissent des données internationalement comparables sur les recettes fiscales en pourcentage du PIB et sur les structures fiscales des pays de l’OCDE.</p><p>Les tableaux détaillés par pays et les tableaux comparatifs figurent dans les <a href="https://www.oecd.org/fr/publications/statistiques-des-recettes-publiques-2023_bcbdaf1a-fr/full-report.html">Statistiques des recettes publiques dans les pays de l’OCDE</a>, une publication annuelle qui présente un ensemble unique de données fiscales détaillées et comparables au niveau international dans un format commun pour tous les pays de l'OCDE à partir de 1965. NonProductionDataflow true UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED Details of tax revenue, all OECD countries Details of tax revenue, all OECD countries NonProductionDataflow true MEASURE,SECTOR LAYOUT_ROW TIME_PERIOD,REF_AREA,TARGETING LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=A,DECIMALS NOT_DISPLAYED SECTOR=S13+S1311+S13M,LASTNPERIODS=1,TARGETING=ST DEFAULT COMBINED_MEASURE:MEASURE,SECTOR COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Corporate income tax statutory and targeted small business rates Taux légaux de l'impôt sur les bénéfices des sociétés et taux ciblés pour les petites entreprises <P>This table shows statutory and targeted, sub-central and combined corporate income tax rates. Targeted rates of 'small incorporated business' are on the basis of size alone (e.g. number of employees, amount of assets, turnover or taxable income) and not on the basis of expenditures or other targeting criteria. Targeted rates data are only available for OECD member countries.</p> <p>Ce tableau présente les taux légaux et ciblés, sous-centraux et combinés de l'impôt sur le revenu des sociétés. Targeted rates of 'small incorporated business' are on the basis of size alone (e.g. number of employees, amount of assets, turnover or taxable income) and not on the basis of expenditures or other targeting criteria. Les données relatives aux taux ciblés ne sont disponibles que pour les pays membres de l'OCDE.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW SECTOR,MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=A,DECIMALS NOT_DISPLAYED LASTNPERIODS=1 DEFAULT Combined (corporate and shareholder) statutory tax rates on dividend income Taux légaux d'imposition combinés (sociétés et actionnaires) sur les revenus de dividendes <P>This table reports effective statutory tax rates on distributions of domestic source income to a resident individual shareholder, taking account of corporate income tax, personal income tax and any type of integration or relief to reduce the effects of double taxation.</p> <p>Ce tableau présente les taux d'imposition statutaires effectifs sur les distributions de revenus de source nationale à un actionnaire individuel résident, en tenant compte de l'impôt sur les sociétés, de l'impôt sur le revenu des personnes physiques et de tout type d'intégration ou d'allègement visant à réduire les effets de la double imposition.</p> NonProductionDataflow true MEASURE,SECTOR,UNIT_MEASURE LAYOUT_ROW INCOME_PRINCIPAL LAYOUT_COLUMN TIME_PERIOD,REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,SECTOR=S13+S1311+S13M DEFAULT Personal income tax and social security contributions - average rates on gross wage earnings for a single person without dependent Impôt sur le revenu des personnes physiques et cotisations de sécurité sociale - taux moyens sur les revenus salariaux bruts pour une personne seule sans personne à charge <p>This table reports average personal income tax and social security contribution rates for a single person without dependent, at various multiples (67%, 100%, 133%, 167%) of the AW/APW. The average wage (AW) by country and year can be found within the <a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=4&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_TAX_WAGES_COMP%40DF_TW_COMP&df[ag]=OECD.CTP.TPS&dq=.AV_TW..S_C0.AW100._Z.A&lom=LASTNPERIODS&lo=10&to[TIME_PERIOD]=false&tm=Labour%20taxation">Taxing Wages comparative tables dataset</a>, under the indicator heading: Total gross earnings before taxes. The AW is based on a single person at 100% of average earnings, no child. The results, derived from the OECD Taxing Wages framework (elaborated in the annual publication Taxing Wages), use tax rates applicable to the tax year. The results take into account basic/standard income tax allowances and tax credits and include family cash transfers.</p> <p>Ce tableau indique les taux moyens d'impôt sur le revenu des personnes physiques et de cotisations de sécurité sociale pour une personne seule sans personne à charge, à différents multiples (67 %, 100 %, 133 %, 167 %) du SMA/SPA. Le salaire moyen (SM) par pays et par année se trouve dans<a href="https://data-explorer.oecd.org/vis?lc=fr&tm=impots%20sur%20le%20travail&pg=0&snb=6&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_TAX_WAGES_COMP%40DF_TW_COMP&df[ag]=OECD.CTP.TPS"> Les impôts sur le travail - indicateurs comparatifs de l'OCDE</a>, sous l'intitulé de l'indicateur : Total des revenus bruts avant impôts. Le salaire moyen est calculé sur la base d'une personne seule à 100 % du salaire moyen, sans enfant. Les résultats, dérivés du cadre des impôts sur les salaires de l'OCDE (élaboré dans la publication annuelle Les impôts sur les salaires), utilisent les taux d'imposition applicables à l'année fiscale. Les résultats tiennent compte des abattements et des crédits d'impôt sur le revenu de base/standard et incluent les transferts familiaux en espèces./p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,CIVIL_STATUS,HOUSEHOLD_TYPE,INCOME_SPOUSE LAYOUT_COLUMN TIME_PERIOD, LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,CIVIL_STATUS NOT_DISPLAYED LASTNPERIODS=1,SECTOR=S13,MEASURE=PIT_EESSC+PIT_EESSC_LCT,INCOME_SPOUSE=NOEARN_UNEMP+_Z,HOUSEHOLD_TYPE=S_C0+S_C2+C_C0+C_C2,CIVIL_STATUS=M+_Z DEFAULT Personal income tax and social security contributions - average combined personal income tax and employee social security contribution rates by household type Impôt sur le revenu des personnes physiques et cotisations de sécurité sociale - taux moyens combinés de l'impôt sur le revenu des personnes physiques et des cotisations de sécurité sociale des salariés, par type de ménage <p>This table reports average personal income tax rates (exclusive and inclusive of universal family cash transfers) for single persons and one-earner married couples with and without children, calculated at the average wage (100% AW). The results, derived from the <a href="https://data-explorer.oecd.org/?lc=en&pg=0&bp=true&snb=4&tm=Labour%20taxation">OECD Taxing Wages</a> framework (elaborated in the annual publication Taxing Wages), use tax and benefit rates applicable to the tax year. The results take into account basic/standard income tax allowances and tax credits. The personal income tax and employee social security contributions less cash transfers results factor in family cash transfers (made by central or sub-central government) paid normally in respect of dependent children between five and twelve years of age who are attending school. </p><p>The sub-central personal tax rates used in this table correspond to those used in Taxing Wages.<p> <p>Ce tableau présente les taux moyens de l'impôt sur le revenu des personnes physiques (hors et y compris les transferts universels en espèces aux familles) pour les personnes seules et les couples mariés à un seul revenu, avec ou sans enfants, calculés au salaire moyen (100 % SMA). Les résultats, dérivés du cadre des <a href=https://data-explorer.oecd.org/?lc=fr&tm=impots%20sur%20le%20travail&pg=0&snb=6">OCDE Les impôts sur les salaires</a>, (élaboré dans la publication annuelle Les impôts sur les salaires), utilisent les taux d'imposition et de prestations applicables à l'année fiscale. Les résultats tiennent compte des abattements et des crédits d'impôt de base/standard de l'impôt sur le revenu. Les résultats de l'impôt sur le revenu des personnes physiques et des cotisations de sécurité sociale des salariés moins les transferts en espèces tiennent compte des transferts familiaux en espèces (effectués par l'administration centrale ou sous-centrale) versés normalement pour les enfants à charge âgés de cinq à douze ans qui fréquentent l'école. Les taux d'imposition des personnes au niveau sous-central utilisés dans ce tableau correspondent à ceux utilisés dans Les impôts sur les salaires.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW LEVEL,TRANSACTION,UNIT_MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,MEASURE=PIT,SECTOR=S1311 DEFAULT Personal income tax - central government rates and thresholds for a single person at 100% of average wage without dependents Impôt sur le revenu des personnes physiques - taux et seuils d'imposition de l'administration centrale pour une personne seule à 100 % du salaire moyen sans personne à charge <p>This table reports statutory central government personal income tax rates for wage income plus the taxable income thresholds at which these statutory rates apply, including basic/standard tax allowances, tax credits and surtax rates. The information is applicable to a single person with no dependents.</p> <p>Ce tableau présente les taux légaux de l'impôt sur le revenu des personnes physiques de l'administration centrale pour les revenus salariaux, ainsi que les seuils de revenu imposable auxquels ces taux légaux s'appliquent, y compris les abattements fiscaux de base/standard, les crédits d'impôt et les taux de surtaxe. Ces informations s'appliquent à une personne seule sans personne à charge.</p> NonProductionDataflow true MEASURE,SECTOR,UNIT_MEASURE LAYOUT_ROW INCOME_PRINCIPAL LAYOUT_COLUMN TIME_PERIOD,REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,SECTOR=S13+S1311+S13M DEFAULT Personal income tax and social security contributions - marginal rates on gross wage earnings for a single person without dependents Impôt sur le revenu des personnes physiques et cotisations de sécurité sociale - taux marginaux sur les revenus salariaux bruts pour une personne seule sans personne à charge <p>This table reports marginal personal income tax and social security contribution rates for a single person without dependent, at various multiples (67%, 100%, 133%, 167%) of the AW/APW. The results, derived from the <a href="https://data-explorer.oecd.org/?lc=en&pg=0&bp=true&snb=4&tm=Labour%20taxation">OECD Taxing Wages</a> framework (elaborated in the annual publication Taxing Wages), use tax rates applicable to the tax year. The results take into account basic/standard income tax allowances and tax credits and include family cash transfers. The sub-central personal tax rates used in this table correspond to those used in Taxing Wages.</p> <p>Ce tableau présente les taux marginaux de l'impôt sur le revenu des personnes physiques et des cotisations de sécurité sociale pour une personne seule sans personne à charge, à différents multiples (67%, 100%, 133%, 167%) du salaire moyen/travailleur. Les résultats, dérivés <a href=https://data-explorer.oecd.org/?lc=fr&tm=impots%20sur%20le%20travail&pg=0&snb=6">OCDE Les impôts sur les salaires</a> du cadre (élaboré dans la publication annuelle Taxing Wages), utilisent les taux d'imposition applicables à l'année fiscale. Les résultats tiennent compte des abattements et des crédits d'impôt sur le revenu de base/standard et incluent les transferts familiaux en espèces. Les taux d'imposition des personnes au niveau sous-central utilisés dans ce tableau correspondent à ceux utilisés dans Les impôts sur les salaires.</p> NonProductionDataflow true REF_AREA,TAX_BASE LAYOUT_ROW TRANSACTION,UNIT_MEASURE LAYOUT_COLUMN TIME_PERIOD,SECTOR LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,MEASURE=PIT DEFAULT Personal income tax - sub-central rates for a non-progressive system for a single person at 100% of average wage without dependants Impôt sur le revenu des personnes physiques - taux d'imposition au niveau infranational pour un système non progressif pour une personne seule à 100 % du salaire moyen sans personne à charge <p>This table shows the representative sub-central personal income tax rates, tax allowances and credits used in other related personal income tax tables shown below. It applies to the wage income of a single person with no dependants, and based on a representative city or an average of sub-central rates, and a minimum and maximum sub-central rate across states and municipalities.</p><p>Additional details on sub-central tax systems based on a progressive income tax rate structure are provided in the table Top statutory personal income tax rate and marginal tax rate for employees at the earnings threshold where the top statutory personal income tax rate first applies.</p> <p>Ce tableau indique les taux représentatifs de l'impôt sous-central sur le revenu des personnes physiques, les abattements fiscaux et les crédits d'impôt utilisés dans les tableaux I.4-I.7. S'applique au revenu salarial d'une personne seule sans personne à charge. Basé sur une ville représentative ou une moyenne des taux sous-centraux. Taux sous-centraux minimums et maximums selon les États et les municipalités.</p><p>Le tableau I.7 fournit des détails supplémentaires sur les systèmes fiscaux sous-centraux basés sur une structure de taux d'impôt sur le revenu progressif.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW LEVEL,TRANSACTION,UNIT_MEASURE LAYOUT_COLUMN TIME_PERIOD,TAX_BASE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,MEASURE=PIT_PROG,SECTOR=S13M DEFAULT Personal income tax - sub-central rates and thresholds for a progressive system for a single person at 100% of average wage without dependants Impôt sur le revenu des personnes physiques - taux et seuils d'imposition au niveau infranational pour un système progressif pour une personne seule à 100 % du salaire moyen sans personne à charge <p>This table provides detailed information on sub-central income tax systems with progressive rate structures, based on the representative case that applies to wage income of a single person with no dependents. The information shown in the columns 'Level of government' and 'Tax base' corresponds to the same columns in the table Sub-central personal income tax rates for a non-progressive system for a single person at 100% of average wage without dependants.</p> <p>Ce tableau fournit des informations détaillées sur les systèmes sous-centraux d'impôt sur le revenu avec des structures de taux progressifs, sur la base du cas représentatif qui s'applique au revenu salarial d'une personne célibataire sans personne à charge. Les informations figurant dans les colonnes "Niveau de gouvernement" et "Base d'imposition" correspondent aux mêmes colonnes dans le tableau Taux de l'impôt sous-central sur le revenu des personnes physiques pour un système non progressif pour une personne seule à 100% du salaire moyen sans personne à charge.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN TIME_PERIOD, LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,SECTOR=S13 DEFAULT Personal income tax - top statutory rate and marginal tax rate for employees at the earnings threshold where the top statutory personal income tax rate first applies Impôt sur le revenu des personnes physiques - taux légal maximal et taux marginal d'imposition pour les salariés au seuil de rémunération où le taux légal maximal de l'impôt sur le revenu des personnes physiques s'applique pour la première fois <p>This table reports on a single person without dependants based on the earnings level where the top statutory personal income tax rate first applies. The marginal tax rates are derived on the basis of a unit increase in gross wage earnings at the threshold. The results, which use tax rates applicable to the tax year, take into account basic/standard income tax allowances and tax credits.</p> <p>Ce tableau indique de la situation d'une personne seule sans personne à charge sur la base du niveau de revenus où le taux légal supérieur de l'impôt sur le revenu des personnes physiques s'applique pour la première fois. Les taux marginaux d'imposition sont calculés sur la base d'une augmentation d'une unité des revenus salariaux bruts au niveau du seuil. Les résultats, qui utilisent les taux d'imposition applicables à l'année fiscale, tiennent compte des abattements et des crédits d'impôt sur le revenu de base/standard.</p> NonProductionDataflow true REF_AREA,SCHEDULE LAYOUT_ROW LEVEL,TRANSACTION,UNIT_MEASURE LAYOUT_COLUMN TIME_PERIOD,TAX_BASE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1 DEFAULT Social security contributions - employee rates Cotisations de sécurité sociale - taux des employés <p>This table reports employee social security contribution rates and related provisions. A representative case is used for those countries where social security provisions vary by locality. </p> <p>Ce tableau présente les taux de cotisation à la sécurité sociale des salariés et les dispositions qui s'y rapportent. Un cas représentatif est utilisé pour les pays où les dispositions de sécurité sociale varient en fonction de la localité.</p> NonProductionDataflow true REF_AREA,SCHEDULE LAYOUT_ROW LEVEL,TRANSACTION,UNIT_MEASURE LAYOUT_COLUMN TIME_PERIOD,TAX_BASE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1 DEFAULT Social security contributions - employer rates Cotisations de sécurité sociale - taux des employeurs <p>This table reports employer social security contribution rates and related provisions using the representative case for those countries where social security provisions vary by locality.</p> <p>Ce tableau présente les taux de cotisation des employeurs à la sécurité sociale et les dispositions connexes en utilisant le cas représentatif pour les pays où les dispositions en matière de sécurité sociale varient en fonction de la localité.</p> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED MEASURE=AV_TW,HOUSEHOLD_TYPE=S_C0,INCOME_PRINCIPAL=AW100,INCOME_SPOUSE=_Z,LASTNPERIODS=10 DEFAULT COMBINED_HOUSEHOLD_TYPE:CIVIL_STATUS,HOUSEHOLD_TYPE COMBINED_CONCEPTS COMBINED_HOUSEHOLD_TYPE:Household type COMBINED_HOUSEHOLD_TYPE:Type de ménage Labour taxation – OECD comparative indicators Les impôts sur le travail - indicateurs comparatifs de l'OCDE <p>These tables, which are also reported in the <a href="https://www.oecd.org/tax/tax-policy/taxing-wages-20725124.htm">OECD Taxing Wages publication</a>, provide unique information for each of the OECD member countries on the income taxes paid by workers, their social security contributions, the family benefits they receive in the form of cash transfers as well as the social security contributions and payroll taxes paid by their employers. The amounts of taxes and social security contributions paid and cash benefits received are set out, programme by programme, for 8 different household types characterised by marital status, number of children, earnings levels expressed as proportion of average wages and whether there are one or two earners. The results reported include the average and marginal tax burden for each household type.</p><p>These data on tax burdens and cash benefits are widely used in academic research and the preparation and evaluation of social economic policy-making.&nbsp; However, some definitions may differ from other datasets within OECD.Stat.</p><p>The <a href="oe.cd/taxing-wages">Taxing Wages publication</a> provides further information on the terminology used in Taxing Wages datasets together with a set of downloadable tables and charts.</p> <p>Ces tableaux, qui sont &eacute;galement signal&eacute;s dans <a href="https://www.oecd.org/fr/fiscalite/politiques-fiscales/les-impots-sur-les-salaires-20725132.htm">la publication de l'OCDE Les imp&ocirc;ts sur les salaires</a> fournissent des informations uniques pour chacun des pays membres de l'OCDE sur les imp&ocirc;ts pay&eacute;s par les travailleurs, leurs cotisations de s&eacute;curit&eacute; sociale, les prestations familiales qu'ils per&ccedil;oivent sous la forme de transferts en esp&egrave;ces ainsi que les partenaires sociaux cotisations de s&eacute;curit&eacute; et les imp&ocirc;ts sur les salaires pay&eacute;s par leurs employeurs. Les montants des imp&ocirc;ts et des cotisations de s&eacute;curit&eacute; sociale et les prestations en esp&egrave;ces re&ccedil;ues sont &eacute;nonc&eacute;es, programme par programme, pour 8 diff&eacute;rents types de m&eacute;nages caract&eacute;ris&eacute;s par staus matrimonial, le nombre d'enfants, les niveaux de revenus sont exprim&eacute;s en proportion du salaire moyen et si il ya un ou deux salari&eacute;s.Les r&eacute;sultats communiqu&eacute;s comprennent la charge fiscale moyenne et marginale pour chaque type de m&eacute;nage.</p><p>Ces donn&eacute;es sur la pression fiscale et les prestations sont largement utilis&eacute;s dans la recherche universitaire et la pr&eacute;paration et l'&eacute;valuation de la politique &eacute;conomique sociale de d&eacute;cision.</p><p>Toutefois, certaines d&eacute;finitions peuvent &ecirc;tre diff&eacute;rentes de celles utilis&eacute;es dans d&rsquo;autres bases de donn&eacute;es sur OECD.Stat. Le site Internet des &laquo; Imp&ocirc;ts sur les salaires <a href="oe.cd/taxing-wages">oe.cd/taxing-wages</a> apporte d&rsquo;autres &eacute;l&eacute;ments d&rsquo;information sur la terminologie utilis&eacute;e dans les bases de donn&eacute;es des &laquo; Imp&ocirc;ts sur les salaires &raquo;. On y trouve &eacute;galement des tableaux et des graphiques &agrave; t&eacute;l&eacute;charger.</p> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW CIVIL_STATUS,HOUSEHOLD_TYPE,INCOME_PRINCIPAL LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED REF_AREA=AUS,HOUSEHOLD_TYPE=S_C0+S_C2,INCOME_PRINCIPAL=AW100+AW67+AW167,INCOME_SPOUSE=_Z,LASTNPERIODS=1 DEFAULT COMBINED_HOUSEHOLD_TYPE:CIVIL_STATUS,HOUSEHOLD_TYPE COMBINED_CONCEPTS COMBINED_HOUSEHOLD_TYPE:Household type COMBINED_HOUSEHOLD_TYPE:Type de ménage MEASURE:OECD.CTP.TPS:HCL_TAX_WAGES(1.0).H HIER_CONTEXT Labour taxation – detailed OECD member country tables Les impôts sur le travail - tableaux détaillés des pays membres de l'OCDE <p>These tables, which are also reported in the <a href="https://www.oecd.org/tax/tax-policy/taxing-wages-20725124.htm">OECD Taxing Wages publication</a>, provide unique information for each of the OECD member countries on the income taxes paid by workers, their social security contributions, the family benefits they receive in the form of cash transfers as well as the social security contributions and payroll taxes paid by their employers. The amounts of taxes and social security contributions paid and cash benefits received are set out, programme by programme, for 8 different household types characterised by marital status, number of children, earnings levels expressed as proportion of average wages and whether there are one or two earners. The results reported include the average and marginal tax burden for each household type.</p><p>These data on tax burdens and cash benefits are widely used in academic research and the preparation and evaluation of social economic policy-making.&nbsp; However, some definitions may differ from other datasets within OECD.Stat.</p><p>The <a href="oe.cd/taxing-wages">Taxing Wages publication</a> provides further information on the terminology used in Taxing Wages datasets together with a set of downloadable tables and charts.</p> <p>Ces tableaux, qui sont &eacute;galement signal&eacute;s dans <a href="https://www.oecd.org/fr/fiscalite/politiques-fiscales/les-impots-sur-les-salaires-20725132.htm">la publication de l'OCDE Les imp&ocirc;ts sur les salaires</a> fournissent des informations uniques pour chacun des pays membres de l'OCDE sur les imp&ocirc;ts pay&eacute;s par les travailleurs, leurs cotisations de s&eacute;curit&eacute; sociale, les prestations familiales qu'ils per&ccedil;oivent sous la forme de transferts en esp&egrave;ces ainsi que les partenaires sociaux cotisations de s&eacute;curit&eacute; et les imp&ocirc;ts sur les salaires pay&eacute;s par leurs employeurs. Les montants des imp&ocirc;ts et des cotisations de s&eacute;curit&eacute; sociale et les prestations en esp&egrave;ces re&ccedil;ues sont &eacute;nonc&eacute;es, programme par programme, pour 8 diff&eacute;rents types de m&eacute;nages caract&eacute;ris&eacute;s par staus matrimonial, le nombre d'enfants, les niveaux de revenus sont exprim&eacute;s en proportion du salaire moyen et si il ya un ou deux salari&eacute;s.Les r&eacute;sultats communiqu&eacute;s comprennent la charge fiscale moyenne et marginale pour chaque type de m&eacute;nage.</p><p>Ces donn&eacute;es sur la pression fiscale et les prestations sont largement utilis&eacute;s dans la recherche universitaire et la pr&eacute;paration et l'&eacute;valuation de la politique &eacute;conomique sociale de d&eacute;cision.</p><p>Toutefois, certaines d&eacute;finitions peuvent &ecirc;tre diff&eacute;rentes de celles utilis&eacute;es dans d&rsquo;autres bases de donn&eacute;es sur OECD.Stat. Le site Internet des &laquo; Imp&ocirc;ts sur les salaires <a href="oe.cd/taxing-wages">oe.cd/taxing-wages</a> apporte d&rsquo;autres &eacute;l&eacute;ments d&rsquo;information sur la terminologie utilis&eacute;e dans les bases de donn&eacute;es des &laquo; Imp&ocirc;ts sur les salaires &raquo;. On y trouve &eacute;galement des tableaux et des graphiques &agrave; t&eacute;l&eacute;charger.</p> NonProductionDataflow true INCOME_PRINCIPAL LAYOUT_ROW UNIT_MEASURE,MEASURE LAYOUT_COLUMN CIVIL_STATUS,HOUSEHOLD_TYPE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED REF_AREA=AUS,HOUSEHOLD_TYPE=S_C0,LASTNPERIODS=1 DEFAULT COMBINED_HOUSEHOLD_TYPE:CIVIL_STATUS,HOUSEHOLD_TYPE COMBINED_CONCEPTS COMBINED_HOUSEHOLD_TYPE:Household type COMBINED_HOUSEHOLD_TYPE:Type de ménage Labour taxation – average and marginal tax wedge decompositions Les impôts sur le travail - décompositions du coin fiscal moyen et marginal <p>These tables, which are also reported in the <a href="https://www.oecd.org/tax/tax-policy/taxing-wages-20725124.htm">OECD Taxing Wages publication</a>, provide unique information for each of the OECD countries on the income taxes paid by workers, their social security contributions, the family benefits they receive in the form of cash transfers as well as the social security contributions and payroll taxes paid by their employers.</p><p>The amounts of taxes and social security contributions paid and cash benefits received are set out, programme by programme, over a range of earnings levels for four different household types: a single worker without children, a single worker with two children, a one-earner married couple without children, and a one-earner married couple with two children. In this dataset, earnings levels of between 1% and 250% of the average wage are considered for the principal earner in each household type.</p><p>The results reported include the average and marginal tax burden for each household type . These data on tax burdens and cash benefits are widely used in academic research and the preparation and evaluation of social economic policy-making.</p><p>However, some definitions may differ from other datasets (for example the System of National Accounts) within OECD.Stat.</p><p><a href="https://www.oecd.org/tax/tax-policy/taxing-wages-20725124.htm">Taxing Wages</a>&nbsp;provides further information on the terminology used in Taxing Wages datasets together with a set of downloadable tables and charts.</p> <p>Ces tableaux, qui figurent également dans la publication de <a href="https://www.oecd.org/fr/fiscalite/politiques-fiscales/les-impots-sur-les-salaires-20725132.htm">l'OCDE Les impôts sur les salaires</a>, fournissent des informations uniques pour chacun des pays de l'OCDE sur les impôts sur le revenu payés par les travailleurs, leurs cotisations de sécurité sociale, les prestations familiales qu'ils reçoivent sous forme de transferts en espèces, ainsi que les cotisations de sécurité sociale et les impôts sur les salaires payés par leurs employeurs.</p> <p>Les montants des impôts et des cotisations de sécurité sociale payés et des prestations en espèces reçues sont présentés, programme par programme, pour une gamme de niveaux de revenus pour quatre types de ménages différents : un travailleur célibataire sans enfant, un travailleur célibataire avec deux enfants, un couple marié à un seul revenu sans enfant et un couple marié à un seul revenu avec deux enfants. Dans cet ensemble de données, des niveaux de revenus compris entre 1 % et 250 % du salaire moyen sont envisagés pour le principal soutien de chaque type de ménage.</p> <p>Les résultats présentés incluent la charge fiscale moyenne et marginale pour chaque type de ménage. Ces données sur la charge fiscale et les prestations en espèces sont largement utilisées dans la recherche universitaire et dans la préparation et l'évaluation de la politique économique sociale.</p> <p>Toutefois, certaines définitions peuvent différer de celles d'autres ensembles de données (par exemple le Système de comptabilité nationale) au sein d'OECD.Stat.</p> <p><a href="https://www.oecd.org/fr/fiscalite/politiques-fiscales/les-impots-sur-les-salaires-20725132.htm">Les impôts sur les salaires</a> fournit de plus amples informations sur la terminologie utilisée dans les ensembles de données des impôts sur les salaires, ainsi qu'une série de tableaux et de graphiques téléchargeables.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION COUNTERPART_AREA,LEGAL_BASIS,TREATY_DATE,FREQ,UNIT_MEASURE NOT_DISPLAYED LASTNPERIODS=1,DECIMALS=2,LEGAL_BASIS=STA DEFAULT Standard withholding tax rates - Corporate tax statistics Taux de retenue à la source standard - Statistiques de l'impôt sur les sociétés This table shows standard withholding tax rates applicable to businesses when they make payments to other foreign or domestic business entities or individuals, e.g., in the form of dividends, interest, and royalties. Governments collect these taxes based on statutory tax rates requiring businesses to withhold a fraction of cross-border payments in scope of the withholding tax. Ce tableau présente les taux standard de retenue à la source applicables aux entreprises lorsqu'elles effectuent des paiements à d'autres entités commerciales étrangères ou nationales ou à des particuliers, par exemple sous forme de dividendes, d'intérêts et de redevances. Les gouvernements perçoivent ces impôts sur la base de taux d'imposition légaux qui obligent les entreprises à retenir une fraction des paiements transfrontaliers dans le cadre de la retenue à la source. NonProductionDataflow true COUNTERPART_AREA,TREATY_DATE LAYOUT_ROW MEASURE LAYOUT_COLUMN TIME_PERIOD,REF_AREA LAYOUT_ROW_SECTION LEGAL_BASIS,FREQ,UNIT_MEASURE NOT_DISPLAYED LASTNPERIODS=1,DECIMALS=2,LEGAL_BASIS=TRE,REF_AREA=AUS DEFAULT Treaty based withholding tax rates - Corporate tax statistics Taux de retenue à la source basés sur les traités - Statistiques de l'impôt sur les sociétés This table shows standard withholding tax rates under bilateral treaties applicable to businesses when they make payments to other foreign or domestic business entities or individuals, e.g., in the form of dividends, interest, and royalties. Governments collect these taxes based on statutory tax rates requiring businesses to withhold a fraction of cross-border payments in scope of the withholding tax. Ce tableau présente les taux de retenue à la source standard prévus par les conventions bilatérales et applicables aux entreprises lorsqu'elles effectuent des paiements à d'autres entités commerciales étrangères ou nationales ou à des particuliers, par exemple sous la forme de dividendes, d'intérêts et de redevances. Les gouvernements perçoivent ces impôts sur la base de taux d'imposition légaux qui obligent les entreprises à retenir une fraction des paiements transfrontaliers dans le cadre de la retenue à la source. NonProductionDataflow true DD_ID,REF_AREA,RECIPIENT_TYPE,TIME_PERIOD,FIN_TYPE,CURRENCY,INTEREST_RATE,INTEREST_RATE_TYPE,CLAIM_RANK LAYOUT_ROW Debt Transparency Individual Transactions The data shows the individual transactions’ level data that is also used for the aggregate measures. The amount shown is in US dollars. More information on the transaction can be seen on the asterisk on the right and the download of all data is possible by downloading the unfiltered data (CSV). The DD ID is an internal measure to identify the transactions. NonProductionDataflow true CURRENCY LAYOUT_ROW TIME_PERIOD,FREQ LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION DD_DIM DRILLDOWN TIME_PERIOD,FIN_TYPE,CURRENCY,INTEREST_RATE,INTEREST_RATE_TYPE,FREQ,TRANS_REPAY,GRACE_PERIOD,REPAY_PROFILE_TIME,RECIPIENT,GUARANTOR_NAME,GUARANTOR_BENEF,TRANS_INSUR,CREDIT_PROV,LEAD_PROV DRILLDOWN_CONCEPTS DD_ID,DD_DIM,RECIPIENT,CREDIT_PROV,LEAD_PROV,CURRENCY_MULTI,ORIG_CURR_VALUE,GRACE_PERIOD,TRANS_REPAY,FREQ,REPAY_PROFILE_TIME,REPO_COLL,FIN_PURPOSE,GUARANTOR_NAME,GUARANTOR_BENEF,FIN_DOC_LAW,WAIVER_IMMUN,DISPUTE_RES_MECH,EMBARGO_TIME,ISIN,DEF_EVENT_COND,TRANS_INSUR,SUSTAINABILITY,PRICE_ISSUANCE NOT_DISPLAYED TIME_PERIOD_START=2000,FREQ=M,DD_DIM=_T DEFAULT Debt Transparency Aggregates The aggregates include two measures of debt data. Gross debt outstanding (USD) comprises the internally calculated outstanding debt by country in US Dollars, while Gross amount of new financing includes the countries’ new financing amount for each year. The aggregates reflect the data available to the OECD and do not intend to reflect exactly the debt situation of the countries included. By clicking on the chosen datapoint, users will be able to see the underlying transactions constituting the aggregates. NonProductionDataflow true MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.03 SEARCH_WEIGHT Benefit payments and contributions to asset-backed pensions Paiements de prestations et cotisations de la retraite par capitalisation Benefits represent one of the sources of outflows from pension plans while contributions are one of the sources of inflows. Benefits are payments made to plan members (or dependants) after retirement, and can take the form of a lump sum or pension. Contributions are payments that can be made to a plan by the sponsors or members. Users can find the amount of benefits and contributions in several units (national currency, USD and as a percentage of GDP), as well as the split of contributions between employees and employers (in national currency, USD and as a percentage of total contributions) in this dataset. Les prestations représentent l'une des sources de sortie de fonds des plans de retraite, tandis que les cotisations sont l'une des sources de revenu. Les prestations sont des paiements versés aux adhérents (ou aux personnes à charge) après la retraite et peuvent prendre la forme d'une somme forfaitaire ou d'une rente. Les cotisations sont des paiements qui peuvent être effectués à un plan par les promoteurs ou les adhérents. Les utilisateurs peuvent trouver le montant des prestations et des cotisations dans plusieurs unités (monnaie nationale, dollar américain et en pourcentage du PIB), ainsi que la répartition des cotisations entre les employés et les employeurs (en monnaie nationale, dollar américain et en pourcentage des cotisations totales) dans cet ensemble de données. NonProductionDataflow true MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,PLAN_TYPE,DEFINITION_TYPE,VEHICLE_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED MEASURE=1000,PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.07 SEARCH_WEIGHT Asset-backed pensions - main database Retraite par capitalisation - base de données principale This database on asset-backed pensions is based on data collected through the OECD Global Pension Statistics exercise. Data come from various administrative sources, mainly: pension supervisory authorities, financial market authorities, ministries of finance, or national statistical offices. Data cover all asset-backed pension arrangements where assets are accumulated to back future benefit payments, except reserves of public (pay-as-you-go) pension arrangements. Asset-backed pension plans may be financed through different vehicles (such as pension funds, pension insurance contracts, bank or investment company managed funds), publicly or privately administered, mandatory or voluntary, occupational or personal, defined benefit (DB) or defined contribution (DC), for public or private-sector workers. Employers’ book reserves are also in the scope. This database includes various statistics and indicators on asset-backed pensions such as the amount of assets earmarked for retirement, the liabilities of pension providers, their revenues, their expenditure, the number of funds and plans, as well as plan membership. These statistics and indicators can be split by type of financing vehicle and type of plan. Cette base de données sur la retraite par capitalisation est basée sur des données collectées dans le cadre de l’exercice des statistiques mondiales sur les pensions de l’OCDE. Les données proviennent de diverses sources administratives, principalement : autorités de contrôle des retraites, autorités des marchés financiers, ministères des finances ou offices nationaux de statistique. Les données couvrent tous les régimes de retraite par capitalisation dans lesquels des actifs sont accumulés pour garantir les paiements de prestations futures, à l’exception des réserves des régimes de retraite publics (par répartition). Les régimes de retraite par capitalisation peuvent être financés par différents véhicules (tels que des fonds de pension, des contrats d’assurance retraite, des fonds gérés par des banques ou des sociétés d’investissement), administrés par une institution publique ou privée, obligatoires ou volontaires, professionnels ou individuels, à prestations définies ou à cotisations définies, pour les travailleurs du secteur public ou privé. Les réserves comptables des employeurs sont également dans le champ d'étude. Cette base de données comprend diverses statistiques et indicateurs sur la retraite par capitalisation comme par exemple les actifs destinés à la retraite, les engagements des organismes de retraite, leurs revenus, leurs dépenses, le nombre de fonds et de plans, ainsi que le nombre d'adhérents. Ces statistiques et indicateurs peuvent être décomposés par type de financement et par type de plan. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T DEFAULT UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS UNIT_MEASURE:Unit of measure UNIT_MEASURE:Unité de mesure 1.02 SEARCH_WEIGHT Pension plan membership Adhésion aux régimes de retraite Members of pension plans are those who are either active (working or contributing, and hence actively accumulating assets), passive (retired, and hence receiving benefits) or deferred (holding deferred benefits) participants in a pension plan. This dataset shows the proportion of active, deferred and passive members, as well as the proportion of men and women participant in a plan, as a percentage of total members. These indicators are available by type of pension plan (occupational or personal, defined benefit (DB) or defined contribution (DC)) and financing vehicle (e.g. pension funds, pension insurance contracts, other financing vehicle). Les adhérents des plans de retraite sont ceux qui sont soit actifs (travaillant ou cotisant, et donc accumulant activement des actifs), passifs (retraités, et donc recevant des prestations) ou titulaires de droits différés dans un plan de retraite. Cet ensemble de données montre la proportion d'adhérents actifs, titulaires de droits différés et passifs, ainsi que la proportion d'hommes et de femmes participant à un plan, en pourcentage du total des adhérents. Ces indicateurs sont disponibles par type de plan de retraite (professionnel ou individuel, à prestations définies ou à cotisations définies) et par financement (par exemple, fonds de pension, contrats d'assurance-retraite, autre véhicule de financement). NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T DEFAULT UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS UNIT_MEASURE:Unit of measure UNIT_MEASURE:Unité de mesure 1.01 SEARCH_WEIGHT Operating costs of asset-backed pensions Coûts de fonctionnement de la retraite par capitalisation Operating costs include all costs of administration and investment management involved in the process of transforming pension contributions into retirement benefits. Indicators on operating costs also reflect the extent to which data are available in each jurisdiction for the different types of costs pension providers (such as pension funds, insurance companies, banks or investment funds offering pension arrangements) incur. This dataset shows the investment expenses and administrative expenses of pension providers expressed as a percentage of total assets. These indicators are available by type of pension plan (occupational or personal, defined benefit (DB) or defined contribution (DC)) and financing vehicle (e.g. pension funds, pesnion insurance contracts, other financing vehicle). Les coûts de fonctionnement comprennent tous les coûts d'administration et de gestion des investissements impliqués dans le processus de transformation des cotisations de retraite en prestations de retraite. Les indicateurs sur les coûts de fonctionnement reflètent également la mesure dans laquelle les données sont disponibles dans chaque juridiction pour les différents types de coûts supportés par les prestataires de retraite (tels que les fonds de pension, les compagnies d'assurance, les banques ou les fonds d'investissement proposant des régimes de retraite). Cet ensemble de données montre les dépenses d’investissement et les coûts d'administration des prestataires de retraite, exprimés en pourcentage du total des actifs. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED UNIT_MEASURE=USD, VEHICLE_TYPE=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.06 SEARCH_WEIGHT Assets earmarked for retirement Actifs destinés à la retraite Assets earmarked for retirement are assets accumulating to back future benefit payments. These assets may accumulate in pension funds, pension insurance contracts, bank or investment company managed funds. They may be in occupational or personal plans, defined benefit (DB) or defined contribution (DC) plans. This dataset shows the amount of assets - expressed in national currency, USD and as a percentage of GDP - by type of vehicle. Data cover employers’ book reserves but do not cover reserves of public (pay-as-you-go) pension arrangements. Les actifs destinés à la retraite sont des actifs accumulés pour couvrir les futurs versements de prestations. Ces actifs peuvent s’accumuler dans des fonds de pension, des contrats d’assurance retraite, des fonds gérés par des banques ou des sociétés d’investissement. Ils peuvent être dans des plans professionnels ou individuels, à prestations définies ou à cotisations définies. Cet ensemble de données montre le montant des actifs - exprimé en monnaie nationale, en dollar américain et en pourcentage du PIB - par type de véhicule. Les données couvrent les réserves comptables des employeurs, mais pas les réserves des régimes de retraite publics (par répartition). NonProductionDataflow true VEHICLE_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE,PLAN_TYPE,DEFINITION_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED MEASURE=AFV DEFAULT UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS UNIT_MEASURE:Unit of measure UNIT_MEASURE:Unité de mesure 1.05 SEARCH_WEIGHT Structure of asset-backed pensions Structure de la retraite par capitalisation The pension landscape includes various types of plans around the world. These plans may finance the future benefits of retirees through different vehicles (such as pension funds, reserves in employers' book, pension insurance contracts, bank or investment company managed funds). They may be publicly or privately administered, mandatory or voluntary, occupational or personal, defined benefit (DB) or defined contribution (DC), for public or private-sector workers. This dataset shows the split of assets by type of vehicle. It also includes the split of occupational pension assets between DB and DC plans. Users can also find the amount of assets in occupational and personal plans, as well as assets in DB and DC plans expressed as a percentage of GDP. Il y a différents types de plans dans le paysage des régimes de retraite à travers le monde. Ces plans peuvent financer les prestations futures des retraités par le biais de différents instruments (fonds de pension, réserves dans les comptes des employeurs, contrats d'assurance retraite, fonds gérés par des banques ou des sociétés d'investissement). Ils peuvent être administrés par une institution publique ou privée, obligatoires ou volontaires, professionnels ou individuels, à prestations définies ou à cotisations définies, destinés aux travailleurs du secteur public ou privé. Cet ensemble de données montre la répartition des actifs par type de véhicule. Il comprend également la répartition des actifs des plans de retraite professionnels entre les plans à prestations définies et les plans à cotisations définies. Les utilisateurs peuvent également trouver le montant des actifs des plans professionnels et individuels, ainsi que les actifs des plans à prestations définies et à cotisations définies exprimés en pourcentage du PIB. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED UNIT_MEASURE=PT_AS,PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.04 SEARCH_WEIGHT Asset allocation of pension funds and other pension providers Répartition des actifs des fonds de pension et autres prestataires de retraite The way assets earmarked for retirement are invested in financial markets varies across jurisdictions. The OECD Global Pension Statistics exercise collects both direct investments in various instruments and vehicles and indirect investments through collective investment schemes. This dataset shows the asset allocation of pension providers (e.g. pension funds, insurance companies offering pension insurance contratcs, and other providers) by type of asset class or instrument, expressed in national currency, USD, as a percentage of total assets (and as a percentage of total holdings of a given instrument in some cases). La manière dont les actifs destinés à la retraite sont investis sur les marchés financiers varie selon les juridictions. L'exercice de l'OCDE sur les statistiques mondiales des pensions recueille à la fois des données sur les investissements directs dans divers instruments et véhicules et des données sur les investissements indirects par le biais de plans de placement collectif. Cet ensemble de données montre la répartition des actifs des fournisseurs de pensions (par exemple, les fonds de pension, les compagnies d'assurance proposant des contrats d'assurance pension et d'autres fournisseurs) par type de classe d'actifs ou d'instrument, exprimée en monnaie nationale, dollar américain, en pourcentage du total des actifs (et en pourcentage du total des avoirs d'un instrument donné dans certains cas). NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED MEASURE=INV+CASH+BOND+LOAN+SHARE+REST+CIS+PEQUF+HEDGE+STRPRDT+UNITLINK+INV_O,UNIT_MEASURE=USD,OWNERSHIP=UND_T,INSURANCE_TYPE=_T,INSURER_TYPE=DIR,DESTINATION=_T DEFAULT 1.011 SEARCH_WEIGHT Asset allocation of insurance companies Répartition des actifs des compagnies d'assurance This dataset shows the direct investments of insurers in a detailed list of financial instruments and their indirect investments through collective investment schemes. Users can find the asset allocation broken down by ownership of insurance companies (domestic undertakings, foreign controlled undertakings and branches and agencies), insurance type (life, non-life, composite), insurer type (direct insurer, reinsurer) and destination of investments (domestic or foreign). Cet ensemble de données présente les investissements directs des assureurs dans une liste détaillée d'instruments financiers et leurs investissements indirects par le biais d'organismes de placement collectif. Les utilisateurs peuvent trouver la répartition des actifs ventilée par propriété des compagnies d'assurance (entreprises nationales, les entreprises sous contrôle étranger et succursales et agences), type d'assurance (vie, non-vie, mixte), type d'assureur (assureur direct, réassureur) et destination des investissements (nationaux ou étrangers). NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED UNIT_MEASURE=USD,INSURANCE_TYPE=_T,INSURER_TYPE=DIR DEFAULT 1.009 SEARCH_WEIGHT Balance sheet and income statement of insurance companies Bilan et compte de résultat des compagnies d'assurance This dataset covers multiple items pertaining to the balance sheet and income statement of direct insurers and reinsurers, such as assets, technical provisions, shareholders' equity, net income, gross claims paid, gross operating expenses, commissions and changes in outstanding claims provisions. Cet ensemble de données couvre plusieurs éléments relatifs au bilan et au compte de résultat des assureurs directs et des réassureurs, tels que les actifs, les provisions techniques, les capitaux propres, le résultat net, les sinistres bruts payés, les dépenses d'exploitation brutes, les commissions et les variations des provisions pour sinistres impayés. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED MEASURE=GRS,UNIT_MEASURE=USD,OWNERSHIP=BASUB_T,INSURANCE_TYPE=_T,INSURANCE_BUSINESS=_T,COUNTERPART_AREA=W DEFAULT 1.012 SEARCH_WEIGHT Insurance business written abroad Activité d'assurance souscrite à l'étranger This dataset covers insurance business written abroad by branches, agencies and subsidiaries. This information is available by home jurisdiction (reference area), and by foreign (host) jurisdiction in the OECD (counterpart area). The breakdown by counterpart area is only available for branches and agencies (Go to the “Ownership” filter). Cet ensemble de données couvre les activités d'assurance souscrites à l'étranger par des succursales, des agences et des filiales. Ces informations sont disponibles par juridiction d'origine (zone de référence) et par juridiction étrangère (d'accueil) dans la zone OCDE (zone de contrepartie). La répartition par zone de contrepartie n'est disponible que pour les succursales et les agences (Allez dans le filtre "Propriétaire"). NonProductionDataflow true INSURANCE_CLASS LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED MEASURE=GRS,UNIT_MEASURE=USD,INSURANCE_BUSINESS=_T DEFAULT 1.013 SEARCH_WEIGHT Insurance business written by class of insurance Activité d'assurance souscrite par branche d'assurance This dataset covers the breakdown of premiums by insurance class for life and non-life insurance. Cet ensemble de données couvre la répartition des primes par catégorie d'assurance pour l'assurance vie et non-vie. NonProductionDataflow true MEASURE,PREMIUMS,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED INSURANCE_TYPE=_T DEFAULT 1.015 SEARCH_WEIGHT Insurance indicators Indicateurs d'assurance This dataset includes key indicators on the insurance industry, such as insurance penetration (gross written premiums as a percentage of GDP), insurance density (gross written premiums in USD per capita), the share of life and non-life insurance in the total insurance business (life and non-life gross written premiums as a percentage of gross premiums), the retention ratio (net written premiums as a percentage of gross premiums) and the reinsurance share (reinsurance accepted as a percentage of gross premiums). This dataset also shows the domestic market share of foreign-controlled undertakings and branches/agencies in each reporting jurisdiction, and the geographical distribution of premiums written within the OECD. Cet ensemble de données comprend des indicateurs clés sur le secteur de l'assurance, tels que la pénétration de l'assurance (primes brutes émises en pourcentage du PIB), la densité de l'assurance (primes brutes émises en dollars des États-Unis par habitant), la part de l'assurance vie et non-vie dans le total des activités d'assurance (primes brutes émises en assurance vie et non-vie en pourcentage des primes brutes), le ratio de rétention (primes nettes émises en pourcentage des primes brutes) et la part de réassurance (réassurance acceptée en pourcentage des primes brutes). Cet ensemble de données montre également la part de marché domestique des entreprises et des succursales/agences sous contrôle étranger dans chaque juridiction déclarante, ainsi que la répartition géographique des primes émises au sein de l'OCDE. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OWNERSHIP LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED MEASURE=UND,INSURANCE_TYPE=_T,EMPLOYER_TYPE=_Z DEFAULT 1.008 SEARCH_WEIGHT Insurance companies and employees Compagnies d'assurance et employés This dataset shows the number of insurance companies operating in the life sector, non-life sector and both (i.e. composite companies), as well as the number of reinsurance companies, broken down by domestic, foreign-controlled and branches/agencies. This dataset also includes the overall number of employees in insurance companies and intermediaries in each jurisdiction. Cet ensemble de données indique le nombre de compagnies d'assurance opérant dans le secteur de l'assurance vie, le secteur non-vie et les deux (c'est-à-dire des entreprises mixtes), ainsi que le nombre de sociétés de réassurance, ventilés entre compagnies nationales, sous contrôle étranger et des succursales/agences. Cet ensemble de données comprend également le nombre total d'employés dans les compagnies d'assurance et les intermédiaires dans chaque juridiction. NonProductionDataflow true MEASURE,CONTRACT_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED UNIT_MEASURE=USD,OWNERSHIP=UND_T,INSURANCE_TYPE=_T,INSURANCE_BUSINESS=_T,CONTRACT_TYPE=_T+_Z,RISK_LOCATION=_Z DEFAULT 1.014 SEARCH_WEIGHT Premiums, claims and expenses of insurance companies Primes, sinistres et dépenses des compagnies d'assurance This dataset shows some of the main variables of the technical operations of insurance companies. It includes the amount of gross premiums written by insurance companies, the amount of reinsurance accepted, premiums ceded and net premiums written. This dataset also provides the amount of gross claims payments, gross operating expenses and commissions of insurers. This information is available by ownership (domestic undertakings, foreign-controlled undertakings and branches and agencies), insurance type (life, non-life, composite) and insurance business (direct business, reinsurance accepted). It also provides a breakdown between a single and regular premium payments, and coverage provided for domestic risks and risks situated outside the reporting jurisdiction. Cet ensemble de données présente certaines des principales variables des opérations techniques des compagnies d'assurance. Il comprend le montant des primes brutes souscrites par les compagnies d'assurance, le montant de la réassurance acceptée, les primes cédées ainsi que les primes nettes souscrites. Cet ensemble de données fournit également le montant des paiements bruts de sinistres, des dépenses d'exploitation brutes et des commissions des assureurs. Ces informations sont disponibles par type de propriété (entreprises nationales, entreprises sous contrôle étranger et succursales et agences), type d'assurance (vie, non-vie, mixte) et type d'activité d'assurance (activité directe, réassurance acceptée). Il fournit également une répartition entre les paiements de primes uniques et réguliers, ainsi que la couverture fournie pour les risques nationaux et les risques situés en dehors de la juridiction déclarante. NonProductionDataflow true CARTEL_NAME,BID_RIGGING,INDUSTRY,SANCTION_TYPE LAYOUT_ROW JURISDICTION LAYOUT_ROW_SECTION DD_DIM,DD_ID NOT_DISPLAYED DD_DIM=_T DEFAULT EXT_RESOURCE CARTEL database methodology|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/competition-and-international-co-operation/guide-to-the-oecd-international-cartels-database.pdf La méthodologie de la base de données CARTEL|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/competition-and-international-co-operation/guide-to-the-oecd-international-cartels-database.pdf DD_DIM DRILLDOWN The OECD International Cartels Database (microdata) Base de données de l'OCDE sur les cartels internationaux (microdonnées) <p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><span style=\"color: #182026;\">The OECD International Cartels Database aims at capturing information on international cartels, based on public sources. The OECD cannot guarantee that the OECD International Cartels Database is error-free and accepts no liability whatsoever for timeliness, correctness, and completeness.</span></p><p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><span style=\"color: #182026;\">A Private international cartel is an anticompetitive agreement between two or more market players and is defined international if it: (i) has at least one participant whose headquarters, residency or nationality is outside the jurisdiction of the authority investigating the cartel; or (ii) includes members from at least two different nationalities.&nbsp; </span></p><p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><span style=\"color: #182026;\">The OECD International Cartels Database is based on the first official decision issued by the relevant authority and information on appeal may not have been included in the OECD International Cartels Database. Therefore, a &ldquo;fine&rdquo; in the OECD International Cartels Database indicates the fine imposed by the relevant authority reported in the (first) decision. A &ldquo;fine after appeal&rdquo; indicates the fine imposed after a decision on appeal which is publicly released.</span></p><p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><span style=\"color: #182026;\">The information in the OECD International Cartels Database does not necessarily reflect the official views of the OECD or of its member countries. The OECD International Cartels Database may be modified over time without notice as the OECD conducts periodic updates. The OECD would welcome any correction of typos or inaccuracies. Please e-mail </span><span style=\"color: black;\"><a href="mailto:ICSTATS@oecd.org\">ICSTATS@oecd.org</a></span><span style=\"color: #182026;\">.</span></p><p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><strong><span style=\"color: #182026;\">Note</span></strong><span style=\"color: #182026;\">: please be aware that the OECD International Cartels Database is in the process of being migrated to the new OECD website. The information available at this point corresponds to the period 2010-2024. Cases from previous years will be uploaded as soon as possible. </span></p><p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><strong><span style=\"font-family: 'Calibri',sans-serif; color: #182026;\">Other relevant websites:</span></strong></p><p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><span style=\"color: black;\"><a href="https://www.oecd.org/competition/\">https://www.oecd.org/competition/</a></span></p><p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><span style=\"color: black;\"><a href="https://www.oecd.org/en/topics/competition-and-international-co-operation.html">https://www.oecd.org/en/topics/competition-and-international-co-operation.html</a></span></p><p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><span style=\"color: black;\"><a href="https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0452\">https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0452</a></span></p> NonProductionDataflow true INFO LAYOUT_ROW JURISDICTION LAYOUT_COLUMN The Competition Enforcement Co-operation Database The Competition Enforcement Co-operation Database <p>This database was designed to help improve transparency and trust in international enforcement co-operation between competition authorities by sharing data provided by over 60 jurisdictions worldwide.</p> <p>It gives consistent information regarding the ability of competition authorities to co-operate on enforcement matters, and provide counterpart authorities with easy-to-access information about their co-operation practices, processes and preferences.</p> <p>Data is obtained by using the filters on the left side of the screen. You can filter the database by jurisdiction or survey topic, then click the Table button at the top of the page to view the output.</p> <p>5 sets of data are included:</p><div>1. Jurisdiction and authority general information<br/>2. Contacts in charge of international enforcement co-operation<br/>3. Practices in terms of international enforcement co-operation<br/>4. Legal Bases for international enforcement co-operation<br/>5. Availability of co-operation instruments<br/></div><p>The field &ldquo; Questions &rdquo; correspond to the online survey serving as a base to the collection of the data. The OECD Members appear first, followed by non-OECD Member countries.</p><h3>Background</h3><p>This Database is part of a workstream on international enforcement co-operation developed by the OECD Competition Committee through its Working Party 3 on Co-operation and Enforcement (<a href="https://www.oecd.org/competition/oecd-icn-report-on-international-cooperation-in-competition-enforcement-2021.htm" target=_blank>2021 OECD/ICN Report</a> and <a href="https://www.oecd.org/daf/competition/international-cooperation-on-competition-investigations-and-proceedings-progress-in-implementing-the-2014-recommendation.htm" target=_blank>Report to Council on the Implementation of the 2014 Recommendation</a>.</p><p>The CEC Database is meant to be updated annually and it is open to <b>all</b> competition agencies worldwide regardless if they are OECD Members or not. The current version dates from August 2022 and was built based on a template survey circulated online to all OECD and ICN jurisdictions (access a pdf copy of survey <a href="https://survey.oecd.org/upload/surveys/184439/files/CEC-Template-2022.pdf" target=_blank>here</a> for information). </p><p>If your authority wishes to participate in the next update, please contact <a href="mailto:Antonio.CAPOBIANCO@oecd.org">Antonio.CAPOBIANCO@oecd.org</a>. </p> <h3>Disclaimer</h3><p>The information is shown as provided by the contributing competition authorities. They were free to decide on the amount of information they wanted to submit and make publicly accessible. The accuracy of the information is within the sole responsibility of the contributing authorities.</p><p>Information contained in this database does not imply the expression of any opinion whatsoever on the part of the OECD Secretariat or its Members concerning the legal status of any country or of its authorities. Its content, as well as any data and any maps displayed are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area.</p><p>The use of the OECD International Cartels Database is governed by the Terms and Conditions governing the <a href="https://www.oecd.org" target=_blank>OECD website</a>, which you can access via the link at the bottom of this webpage.</p> <h3>Related OECD work and work products</h3><ul><li><a href="https://www.oecd.org/competition/internationalco-operationandcompetition.htm" target=_blank>International Co-operation homepage</a></li><li><a href="https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0408" target=_blank>OECD Recommendation concerning International Co-operation on Competition Investigation NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE_PRINCIPLE,TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION ACCOUNTING_ENTRY=NET_FDI,TYPE_ENTITY=_Z,FDI_COMP=D,SECTOR=S1,COUNTERPART_AREA=W,LEVEL_COUNTERPART=IMC,ACTIVITY=_T,FDI_COLLECTION_ID=AGGR,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED MEASURE=T_FA_F,UNIT_MEASURE=USD_EXC+RC,FREQ=Q,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 8000 MAX_TABLE_DATA FDI main aggregates, BMD4 Principaux agrégats d'IDE, BMD4 <b>This dataset <i>FDI main aggregates, BMD4</i> is updated every quarter and includes quarterly and annual aggregate inward and outward Foreign Direct Investment (FDI) flows, positions and income for OECD reporting economies and for non-OECD G20 countries (Argentina, Brazil, China, India, Indonesia, Saudi Arabia and South Africa).</b><p>It is a simplified dataset with fewer breakdowns compared to the other separate datasets specifically dedicated to FDI flows, FDI positions or FDI income aggregates. In this dataset, FDI statistics are presented on directional basis only (unless otherwise specified, see metadata attached at the reporting country level) and resident Special Purpose Entities (SPEs), when they exist, are excluded (unless otherwise stated, see metadata attached at the reporting country level).</p><p>FDI aggregates are measured in USD millions, in millions of national currency and as a share of GDP.</p><p> This dataset supports FDI aggregates indicators available from the <a href="https://data.oecd.org/searchresults/?q=FDI”>OECD Data Portal</a>, and also supports the OECD bi-annual publication <a href="https://www.oecd.org/investment/statistics.htm”>FDI in Figures</a>.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p><p>Historical and unrevised series of FDI aggregates under the previous BMD3 methodology can be accessed in the archived dataset <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_BOP_IIP&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=..&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS">FDI series of BOP and IIP aggregates</a></p> <b>Cet ensemble de données <i>Principaux agrégats d'IDE, BMD4</i> est mis à jour chaque trimestre et comprend les flux, positions et revenus d'investissements directs étrangers (IDE) trimestriels et annuels entrants et sortants, pour les économies déclarantes de l'OCDE et pour les pays non-OCDE du G20 (Argentine, Brésil, Chine, Inde, Indonésie, Arabie Saoudite et Afrique du Sud).</b><p>Il s’agit d’un ensemble de données simplifié avec moins de ventilations par rapport aux autres ensembles de données respectivement dédiés aux flux d’IDE, aux positions d’IDE ou aux agrégats de revenus d’IDE. Dans cet ensemble de données, les statistiques d'IDE sont présentées sur une base directionnelle uniquement (sauf indication contraire, voir les métadonnées attachées au niveau du pays déclarant) et les Entités à Vocation Spéciales (EVS) résidentes, lorsqu'elles existent, sont exclues (sauf indication contraire, voir les métadonnées attachées au niveau du pays déclarant).</p><p>Les agrégats d'IDE sont mesurés en millions de dollars américains, en millions de monnaie nationale et en pourcentage du PIB.</p><p> Cet ensemble de données sous-tend les indicateurs d'IDE par zone de contrepartie et par activité économique disponibles à partir du <a href=" https://data.oecd.org/searchresults/?q=FDI”>Portail de données de l'OCDE</a>, et prend également en charge la publication semestrielle de l'OCDE <a href="https://www.oecd.org/ Investment/statistics.htm”>FDI in Figures</a>.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de statistiques sur les investissements directs étrangers (IDE) :</p><ul style=" liste-style-type=carré"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été lancée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p><p>Les séries historiques et non révisées d'agrégats d'IDE selon la précédente méthodologie BMD3 sont accessibles dans l'ensemble de données archivé <a href="https:/ /data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_BOP_IIP&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=..&to[TIME_PERIOD]=false&lo= 5&lom=LASTNPERIODS">IDE séries agrégées de BP et PEG</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION ACCOUNTING_ENTRY=NET_FDI,TYPE_ENTITY=_Z,FDI_COMP=D,SECTOR=S1,LEVEL_COUNTERPART=_Z,FDI_COLLECTION_ID=CTRY_IND_HIST,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED MEASURE=LE_FA_F+T_FA_F+T_D4P_F,UNIT_MEASURE=USD_EXC+RC,MEASURE_PRINCIPLE=DI,MEASURE=T_FA_F,COUNTERPART_AREA=W,ACTIVITY=_T,TIME_PERIOD_START=2005 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H,ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI by counterpart area and by economic activity, BMD4 and historical BMD3 Statistiques d'IDE par zone de contrepartie et par activité économique, BMD4 et séries historiques BMD3 <b>This dataset <i>FDI by counterpart area and by economic activity, BMD4 and historical BMD3</i> includes long time series of FDI statistics by partner country and by industry. It uses available BMD4 series and combines them with BMD3 historical series (from the unrevised OECD FDI datasets according to BMD3) as far back as 2005 and identifies breaks in series.</b><p>For selected countries, breaks in series were removed as there was no significant impact of BMD4 implementation.</p><p>In this dataset, inward and outward FDI flows, positions and income include resident SPEs when they exist (unless otherwise stated, see metadata attached at the reporting country level); and they are allocated to the immediate counterpart country (unless otherwise specified, see metadata attached at the reporting country level).</p><p>Inward and outward FDI statistics in this datset are presented on a directional basis (unless otherwise stated, see metadata attached at the reporting country level); they are measured in USD millions, in millions of national currency and as a share of total (for FDI positions only).</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"><li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li><li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p> <b>Cet ensemble de données combine les statistiques d'IDE selon BMD4 avec des séries historiques de statistiques d'IDE selon BMD3.</b><p><b>Cet sensemble de données <i>IDE par zone de contrepartie et par activité économique, BMD4 et séries historiques BMD3</i> inclut des séries longues de statistiques d’IDE par zone de contrepartie et par activité économique. Cet ensemble de données utilise les séries BMD4 disponibles combinées avec des séries historiques BMD3 (provenant des ensembles de données d’IDE non réviséesselon BMD3) jusque 2005 avec indication des coupures de séries.</b></p><p>Dans cet ensemble de données, les flux, positions et revenus d’IDE entrants et sortants incluent les Entités à Vocation Spéciale (EVS) résidentes lorsqu’elles existent (sauf indication contraire, se référer aux métadonées attachées au niveau du pays déclarant); et ils sont alloués à la zone de contrepartie immédiate (sauf indication contraire, se référer aux métadonées attachées au niveau du pays déclarant).</p><p>Les statistiques d’IDE entrant et sortant dans cet ensemble de données sont présentées selon une base directionnelle (sauf indication contraire, se référer aux métadonées attachées au niveau du pays déclarant); elles sont mesureés en millions de dollars américains, en millions de monnaie nationale et en pourcentage du total (pour les données de positions d’IDE uniquement).</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière d'investissement direct étranger (IDE) statistiques :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été lancée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données concernent d'autres sources telles que les notifications ou les approbations.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION ACCOUNTING_ENTRY=NET_FDI,TYPE_ENTITY=_Z,FDI_COMP=D,SECTOR=S1,LEVEL_COUNTERPART=_Z,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED MEASURE=LE_FA_F+T_FA_F+T_D4P_F,UNIT_MEASURE=USD_EXC+RC,COUNTERPART_AREA=W,ACTIVITY=_T,LASTNPERIODS=2,DECIMALS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H,ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI by counterpart area and by economic activity, BMD4 Statistiques d'IDE par zone de contrepartie et par activité économique, BMD4 <b>This dataset <i>FDI by counterpart area and by economic activity, BMD4</i> includes inward and outward Foreign Direct Investment (FDI) flows, positions and income by partner country and by economic activity for OECD reporting economies.</b><p>It is a simplified dataset with fewer breakdowns compared to the other separate datasets specifically dedicated to FDI flows, FDI positions or FDI income by counterpart area, or by economic activity. In this dataset, FDI exclude resident SPEs, when they exist (unless otherwise stated, see metadata attached at the reporting country level); and inward FDI positions are allocated to the ultimate counterpart country when available (see metadata attached at the reporting country level). <p>Inward and outward FDI statistics in this dataset are presented on a directional basis (unless otherwise stated, see metadata attached at the reporting country level); they are measured in USD millions, in millions of national currency and as a share of total (for FDI positions only).</p><p> This dataset supports FDI indicators by counterpart area and by economic activity available from the <a href="https://data.oecd.org/searchresults/?q=FDI">OECD Data Portal</a>.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p> <b>Cet ensemble de données <i>IDE par zone de contrepartie et par activité économique, BMD4</i> comprend les flux, les positions et les revenus d’investissements directs étrangers (IDE) entrants et sortants par pays partenaire et par activité économique les économies déclarantes de l’OCDE.</b><p> Il s'agit d'un ensemble de données simplifié avec moins de ventilations par rapport aux autres ensembles de données distinctivement dédiés aux flux d'IDE, aux positions d'IDE ou aux revenus d'IDE par zone de contrepartie ou par activité économique. Dans cet ensemble de données, les entités à vocation spéciales (EVS) résidentes, lorsqu'elles existent, sont exclues (sauf indication contraire, voir les métadonnées attachées au niveau du pays déclarant) ; et les positions d'IDE entrants sont attribuées au pays de contrepartie ultime lorsque cette allocation est disponible (voir les métadonnées jointes au niveau du pays déclarant). <p>Les statistiques d’IDE entrants et sortants dans cet ensemble de données sont présentées sur une base directionnelle (sauf indication contraire, voir les métadonnées jointes au niveau du pays déclarant) ; elles sont mesurées en millions de dollars américains, en millions de monnaie nationale et en part du total (pour les positions d'IDE uniquement).</p><p> Cet ensemble de données sous-tend les indicateurs d'IDE par zone de contrepartie et par activité économique disponibles sur le <a href ="https://data.oecd.org/searchresults/?q=FDI">Portail de données de l'OCDE</a>.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière d'investissement direct étranger ( IDE) statistiques :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été lancée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données concernent d'autres sources telles que les notifications ou les approbations.</p> NonProductionDataflow true REF_AREA,TYPE_ENTITY LAYOUT_ROW MEASURE_PRINCIPLE,ACCOUNTING_ENTRY,TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION SECTOR=S1,COUNTERPART_AREA=W,TYPE_ENTITY=_Z,LEVEL_COUNTERPART=IMC,ACTIVITY=_T,FDI_COLLECTION_ID=AGGR,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED MEASURE=T_FA_F,FDI_COMP=D,TYPE_ENTITY=ALL+RSP,UNIT_MEASURE=USD_EXC+RC,FREQ=Q,LASTNPERIODS=2 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 8000 MAX_TABLE_DATA FDI flows main aggregates, BMD4 Flux d'IDE - Principaux agrégats, BMD4 <b>This dataset <i>FDI flows main aggregates, BMD4</i> is updated every quarter and includes annual and quarterly aggregate Foreign Direct Investment (FDI) flows for OECD member countries and for non-OECD G20 countries (Argentina, Brazil, China, India, Indonesia, Saudi Arabia and South Africa), which are included in Balance of Payments (BOP) accounts.</b><p>FDI flows record the value of cross-border transactions related to direct investment during a given period of time, usually a quarter or a year, and consist of equity transactions, reinvestment of earnings, and intercompany debt transactions.</p><p>In this dataset, FDI flows are presented on two different basis:</p><ul style="list-style-type=square"><li><b>the asset/liability presentation</b>: FDI statistics are organised according to whether the investment relates to an asset or a liability for the country compiling the statistics. The asset/liability presentation does not show the direction of influence as the directional presentation does.</li><li><b>the directional presentation</b>: FDI statistics are organised according to the direction of the investment for the reporting economy—either outward or inward.</li><p>For more details on the difference between the two presentations, see the OECD note <a href="http://www.oecd.org/daf/inv/FDI-statistics-asset-liability-vs-directional-presentation.pdf">Implementing latest international standards-Asset liability versus directional presentation</a></p></ul><p>FDI flows aggregates in this dataset are measured in USD millions, in millions of national currency and as a share of GDP.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p><p>Historical and unrevised series of FDI flows aggregates under the previous BMD3 methodology can be accessed in the archived dataset <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_BOP_IIP&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=IN%2BOUT.USD.&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=SERIES_BOP%2CTIME_PERIOD&ly[rw]=COU&vw=tb">FDI series of BOP and IIP aggregates</a></p> <b>Cet ensemble de données <i>Principaux agrégats des flux d'IDE, BMD4</i> est mis à jour chaque trimestre et comprend les flux d'investissement direct étranger (IDE) agrégés annuels et trimestriels pour les pays membres de l'OCDE et pour les pays non OCDE du G20 (Argentine, Brésil, Chine, Inde, Indonésie, Arabie Saoudite et Afrique du Sud), qui sont inclus dans les comptes de la balance des paiements (BDP).</b><p>Les flux d'IDE enregistrent la valeur des transactions transfrontalières liées à l'investissement direct au cours d'une période de temps donnée, généralement un trimestre ou un an, et comprennent les acquisitions ou cessions de participations, le réinvestissement de bénéfices et les prêts interentreprises.</p><p> Dans cet ensemble de données, les flux d'IDE sont présentés sur deux bases différentes :</p><ul style="list-style-type=square"><li><b>le principe actif/passif</b> : les statistiques d'IDE sont organisées selon que l'investissement porte sur un actif ou un passif pour le pays qui établit les statistiques. La présentation selon le principe actif/passif ne reflète pas la direction d'influence comme le permet la présentation selon le principe directionnel.</li><li><b>le principe directionnel</b> : les statistiques d'IDE sont organisées en fonction de la direction de l'investissement de l’économie déclarante, sortant ou entrant.</li><p>Pour plus de détails sur la différence entre les deux présentations, voir la note de l'OCDE <a href="http://www.oecd.org/daf/inv/FDI- Statistics-asset-liability-vs-directionnel-presentation.pdf">Implementing latest international standards-Asset liability versus directional presentation</a></p></ul><p>Les agrégats de flux d'IDE dans cet ensemble de données sont mesurés en millions de dollars américains, en millions de monnaie nationale et en pourcentage du PIB.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de statistiques sur les investissements directs étrangers (IDE) :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été mise en place en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p><p>Les séries historiques et non révisées d'agrégats de flux d'IDE selon la précédente méthodologie BMD3 sont accessibles dans l'ensemble de données archivé <a href="https : //data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_BOP_IIP&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=IN%2BOUT.USD.&to[ TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=SERIES_BOP%2CTIME_PERIOD&ly[rw]=COU&vw=tb">IDE séries agrégées de BP et PEG</a></p> NonProductionDataflow true COUNTERPART_AREA LAYOUT_ROW TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY,ACCOUNTING_ENTRY LAYOUT_COLUMN FDI_COMP=D,SECTOR=S1,ACTIVITY=_T,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED REF_AREA=ITA,MEASURE=T_FA_F,ACCOUNTING_ENTRY=NET_FDI,LEVEL_COUNTERPART=IMC,COUNTERPART_AREA=W+W_X+OECD00+AUS+CAN+FRA+DEU+ITA+JPN+KOR+MEX+TUR+GBR+USA+E+F+ZAF+A+A7+ARG+BRA+S+S3+S35+SAU+S6+CHN+IND+IDN+O,UNIT_MEASURE=USD_EXC,LASTNPERIODS=2,DECIMALS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI flows by counterpart area, BMD4 Flux d'IDE par zone de contrepartie, BMD4 <b>This dataset <i>FDI flows by counterpart area, BMD4</i> includes inward and outward Foreign Direct Investment (FDI) flows by partner country for OECD reporting economies:</b><ul style="list-style-type=square"><li>Inward FDI flows by partner country measure the value of cross-border direct investment transactions received by the reporting economy during a year, by source country, enabling, for example, the identification of the major sources of FDI for a specific OECD economy in that year. Inward FDI flows are allocated to the immediate investing country.</li><li>Outward FDI flows by partner country measure the value of cross-border direct investment transactions from the reporting economy during a year, by destination country or region, enabling, for example, the identification of the major destinations of FDI for a specific OECD economy in that year. Outward FDI flows are allocated to the immediate counterpart country for all OECD countries.</li></ul><p>Inward and outward FDI flows by partner country are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions and in millions of national currency.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p><p>Historical and unrevised series of FDI flows by counterpart area under the previous BMD3 methodology can be accessed in the archived dataset <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_FLOW_PARTNER&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=.V1%2BA1UN%2BA1%2BF7%2BIDN%2BIND%2BCHN%2BF6REC%2BSAU%2BF4%2BF2%2BBRA%2BARG%2BF1REC%2BF1%2BE7%2BZAF%2BE6%2BE4%2BE1%2BUSA%2BGBR%2BTUR%2BMEX%2BKOR%2BJPN%2BITA%2BDEU%2BFRA%2BCAN%2BAUS%2BA8.USD.ITA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=FLOW%2CTIME_PERIOD&ly[rw]=PC&vw=tb">FDI flows by partner country</a>.</p> <b>Cet ensemble de données <i>Flux d'IDE par zone de contrepartie, BMD4</i> comprend les investissements directs étrangers entrants et sortants ( Flux d'IDE) par pays partenaire pour les économies déclarantes de l'OCDE :</b> <ul style="list-style-type=square"><li>Les flux d'IDE entrants par pays partenaire mesurent la valeur des transactions d’investissements directs transfrontalières reçues par l’économie déclarante au cours d’une année, par pays d’origine, permettant, par exemple, d’identifier les principales sources d’IDE pour une économie spécifique de l’OCDE au cours de cette année. Les flux d'IDE entrants sont attribués au pays investisseur immédiat.</li><li>Les flux d'IDE sortants par pays partenaire mesurent la valeur des transactions d'investissement direct transfrontalières de l'économie déclarante au cours d'une année, par pays ou région de destination, permettant par exemple l’identification des principales destinations des IDE pour une économie spécifique de l’OCDE au cours de cette année. Les flux d'IDE sortants sont attribués au pays de contrepartie immédiat pour tous les pays de l'OCDE.</li></ul><p>Les flux d'IDE entrants et sortants par pays partenaire sont présentés selon le principe directionnel (sauf indication contraire dans les métadonnées attachées au niveau du pays déclarant) ; ils sont mesurés en millions de dollars américains et en millions de monnaie nationale.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de statistiques sur les investissements directs étrangers (IDE) :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été lancée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p><p>Les séries historiques et non révisées de flux d'IDE par zone de contrepartie selon l'ancienne méthodologie BMD3 sont accessibles dans l'ensemble de données archivé<a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_FLOW_PARTNER&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=.V1%2BA1UN%2BA1%2BF7%2BIDN%2BIND%2BCHN%2BF6REC%2BSAU%2BF4%2BF2%2BBRA%2BARG%2BF1REC%2BF1%2BE7%2BZAF%2BE6%2BE4%2BE1%2BUSA%2BGBR%2BTUR%2BMEX%2BKOR%2BJPN%2BITA%2BDEU%2BFRA%2BCAN%2BAUS%2BA8.USD.ITA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=FLOW%2CTIME_PERIOD&ly[rw]=PC&vw=tb">Flux d'IDE par pays partenaire</a>.</p> NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY,ACCOUNTING_ENTRY LAYOUT_COLUMN FDI_COMP=D,SECTOR=S1,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED REF_AREA=ITA,MEASURE=T_FA_F,ACCOUNTING_ENTRY=NET_FDI,COUNTERPART_AREA=W,LEVEL_COUNTERPART=IMC,ACTIVITY=_T+A_B+C+C10T12+C13T18X15+C19T22+C24T28X27+C29_30+C15_23_27_31T33+D+E+F+GTU+G+H+I+J+K+L+M+N+O_T_U+P+Q+R+S+_X+PRV_RE,UNIT_MEASURE=USD_EXC,LASTNPERIODS=2,DECIMALS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI flows by economic activity, BMD4 Flux d'IDE par activité économique, BMD4 <b>This dataset <i>FDI flows by economic activity, BMD4</i> includes inward and outward Foreign Direct Investment (FDI) flows by economic activity for OECD reporting economies:</b><ul style="list-style-type=square"><li>Inward FDI flows by economic activity measure the value of cross-border direct investment transactions received by the reporting economy in a specific industry during a year, enabling, for example, the identification of the most attractive industries for FDI in each OECD economy in that year.</li><li>Outward FDI flows by economic activity measure the value of cross-border direct investment transactions from the reporting economy during a year, by industry. The industry sector corresponds to the activity of the direct investment enterprise or to the activity of the direct investor (more details on the activity allocation method for outward FDI flows are indicated in the metadata information attached at the country level).</li></ul><p>Inward and outward FDI flows by economic activity are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions and in millions of national currency. A cross-classification of inward and outward FDI flows by major ISIC4 sections and by main geographic aggregates are also available for some OECD reporting economies.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>An OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p><p>Historical and unrevised series of FDI flows by economic activity under the previous BMD3 methodology can be accessed in the archived dataset <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_FLOW_INDUSTRY&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=.0100%2B9999%2B9200%2B9997%2B9998%2B9996D%2B7395%2B6895%2B6495%2B5500%2B5295%2B5095%2B4500%2B4195%2B3595%2B3300%2B3295%2B2995%2B2595%2B2295%2B3995%2B1495%2B0595.USD.ITA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=FLOW%2CTIME_PERIOD&ly[rw]=ECOACT&vw=tb">FDI flows by industry</a>.</p> <b>Cet ensemble de données <i>Flux d'IDE par activité économique, BMD4</i> comprend les investissements directs étrangers entrants et sortants ( IDE) par activité économique pour les économies déclarantes de l'OCDE :</b> <ul style="list-style-type=square"><li>Les flux d'IDE entrants par activité économique mesurent la valeur des transactions d'investissement direct transfrontalières reçues par l'économie déclarante dans un secteur spécifique au cours d'une année, permettant, par exemple, d'identifier les secteurs les plus attractifs pour l'IDE dans chaque économie de l'OCDE au cours de cette année.</li><li>Les flux d'IDE sortants par activité économique mesurent la valeur des transactions d’investissement direct transfrontalières de l’économie déclarante au cours d’une année, par secteur. Le secteur industriel correspond à l'activité de l'entreprise d'investissement direct ou à l'activité de l'investisseur direct (plus de détails sur la méthode d'allocation des activités pour les flux d'IDE sortants sont indiqués dans les métadonnées jointes au niveau du pays).</li></ul>< p>Les flux d'IDE entrants et sortants par activité économique sont présentés selon le principe directionnel (sauf indication contraire dans les métadonnées au niveau national) ; ils sont mesurés en millions de dollars américains et en milloins de monnaie nationale. Une classification croisée des flux d'IDE entrants et sortants par grandes sections de la CITI4 et par principaux agrégats géographiques est également disponible pour certaines économies déclarantes de l'OCDE.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de statistiques sur les investissements directs étrangers (IDE) :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été lancée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p><p>Les séries historiques et non révisées de flux d'IDE par activité économique selon l'ancienne méthodologie BMD3 sont accessibles dans l'ensemble de données archivé<a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_FLOW_INDUSTRY&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=.0100%2B9999%2B9200%2B9997%2B9998%2B9996D%2B7395%2B6895%2B6495%2B5500%2B5295%2B5095%2B4500%2B4195%2B3595%2B3300%2B3295%2B2995%2B2595%2B2295%2B3995%2B1495%2B0595.USD.ITA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=FLOW%2CTIME_PERIOD&ly[rw]=ECOACT&vw=tb">Flux d'IDE par industrie</a>.</p> NonProductionDataflow true REF_AREA,TYPE_ENTITY LAYOUT_ROW MEASURE_PRINCIPLE,ACCOUNTING_ENTRY,TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION SECTOR=S1,COUNTERPART_AREA=W,TYPE_ENTITY=_Z,LEVEL_COUNTERPART=IMC,ACTIVITY=_T,FDI_COLLECTION_ID=AGGR,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED MEASURE=T_D4P_F,FDI_COMP=D,TYPE_ENTITY=ALL+RSP,UNIT_MEASURE=USD_EXC+RC,FREQ=Q,LASTNPERIODS=2 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 8000 MAX_TABLE_DATA FDI income main aggregates, BMD4 Revenus d'IDE - Principaux agrégats, BMD4 <b>This dataset <i>FDI income main aggregates, BMD4</i> is updated every quarter and includes annual and quarterly aggregate Foreign Direct Investment (FDI) income for OECD member countries and for non-OECD G20 countries (Argentina, Brazil, China, India, Indonesia, Saudi Arabia and South Africa), which are included in Balance of Payments (BOP) accounts.</b><p>FDI income record measure the total returns within a given period of time, usually a quarter or a year, on direct investment stocks.</p><p>In this dataset, FDI income are presented on two different basis:</p><ul style="list-style-type=square"><li><b>the asset/liability presentation</b>: FDI statistics are organised according to whether the investment relates to an asset or a liability for the country compiling the statistics. The asset/liability presentation does not show the direction of influence as the directional presentation does.</li><li><b>the directional presentation</b>: FDI statistics are organised according to the direction of the investment for the reporting economy—either outward or inward.</li><p>For more details on the difference between the two presentations, see the OECD note <a href="http://www.oecd.org/daf/inv/FDI-statistics-asset-liability-vs-directional-presentation.pdf">Implementing latest international standards-Asset liability versus directional presentation</a></p></ul><p>FDI income aggregates in this dataset are measured in USD millions, in millions of national currency and as a share of GDP.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p> <b>Cet ensemble de données <i>Principaux agrégats des revenus d'IDE, BMD4</i> est mis à jour chaque trimestre et comprend les revenus d'investissement direct étranger (IDE) agrégés annuels et trimestriels pour les pays membres de l'OCDE et pour les pays non OCDE du G20 ( Argentine, Brésil, Chine, Inde, Indonésie, Arabie Saoudite et Afrique du Sud), qui sont inclus dans les comptes de la balance des paiements (BDP).</b><p>Les revenus d'IDE mesurent les rendements totaux des stocks d'investissement direct étrangers, sur une période de temps donnée, généralement un trimestre ou un an.</p><p> Dans cet ensemble de données, les revenus d'IDE sont présentés sur deux bases différentes :</p><ul style="list-style-type=square"><li><b>le principe actif/passif</b> : les statistiques d'IDE sont organisées selon que l'investissement porte sur un actif ou un passif pour le pays qui établit les statistiques. La présentation selon le principe actif/passif ne reflète pas la direction d'influence comme le permet la présentation selon le principe directionnel.</li><li><b>le principe directionnel</b> : les statistiques d'IDE sont organisées en fonction de la direction de l'investissement de l’économie déclarante, sortant ou entrant.</li><p>Pour plus de détails sur la différence entre les deux présentations, voir la note de l'OCDE <a href="http://www.oecd.org/daf/inv/FDI- Statistics-asset-liability-vs-directionnel-presentation.pdf">Implementing latest international standards-Asset liability versus directional presentation</a></p></ul><p>Les agrégats de revenus d'IDE dans cet ensemble de données sont mesurés en millions de dollars américains, en millions de monnaie nationale et en pourcentage du PIB.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de statistiques sur les investissements directs étrangers (IDE) :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été mise en place en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p> NonProductionDataflow true COUNTERPART_AREA LAYOUT_ROW TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY LAYOUT_COLUMN ACCOUNTING_ENTRY=NET_FDI,FDI_COMP=D,SECTOR=S1,LEVEL_COUNTERPART=IMC,ACTIVITY=_T,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED REF_AREA=ITA,MEASURE=T_4P_F,LEVEL_COUNTERPART=IMC,COUNTERPART_AREA=W+W_X+OECD00+AUS+CAN+FRA+DEU+ITA+JPN+KOR+MEX+TUR+GBR+USA+E+F+ZAF+A+A7+ARG+BRA+S+S3+S35+SAU+S6+CHN+IND+IDN+O,UNIT_MEASURE=USD_EXC,LASTNPERIODS=2,DECIMALS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI income by counterpart area, BMD4 Revenus d'IDE par zone de contrepartie, BMD4 <b>This dataset <i>FDI income by counterpart area, BMD4</i> includes Foreign Direct Investment (FDI) payments and receipts by partner country for OECD reporting economies:</b> <ul style="list-style-type=square"><li>FDI income payments (or income on inward FDI) by partner country measure the total returns within a year on direct investment stocks paid by enterprises in the reporting economy to their foreign investors, by destination countries or regions, enabling, for example, the identification of the major destinations of FDI income payments for a specific OECD economy in that year. FDI income payments are allocated to the immediate counterpart country.</li><li>FDi income receipts (or income on outward FDI) by partner country measure the total returns within a year on direct investment stocks received by investors in the reporting economy from their direct investment enterprises abroad, by source countries or region, enabling, for example, the identification of the major sources of FDI income receipts for a specific OECD economy in that year.. FDI income receipts are allocated to the immediate counterpart country or region for all OECD countries.</li></ul><p>Income payments and receipts (or income on inward and outward FDI respectively) by partner country are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions and in millions of national currency.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p> <b>Cet ensemble de données <i>Revenus d'IDE par zone de contrepartie, BMD4</i> inclut les paiements et les recettes d'investissements directs étrangers (IDE) par pays partenaire pour les économies déclarantes de l'OCDE :</b> <ul style="list-style-type=square"><li>Les paiements de revenus d'IDE (ou les revenus des IDE entrants) par pays partenaire mesurent les rendements totaux des stocks d'investissements directs, au cours d'une année, payés par les entreprises de l'économie déclarante à leurs investisseurs étrangers, par pays ou régions de destination. Ils permettent, par exemple, d'identifier les principales destinations des paiements de revenus d'IDE pour une économie spécifique de l'OCDE au cours de cette année. Les paiements de revenus d'IDE sont alloués au pays de contrepartie immédiat.</li><li>Les recettes de revenus d'IDE (ou les revenus sur les IDE sortants) par pays partenaire mesurent les rendements totaux des stocks d'investissement direct, au cours d'une année, reçus par les investisseurs dans l'économie déclarante de la part de leurs entreprises d’investissement direct à l’étranger, par pays ou région d’origine. Ils permettent, par exemple, d’identifier les principales sources de recettes d’IDE pour une économie spécifique de l’OCDE au cours de cette année. Les recettes d’IDE sont allouées au pays ou à la région de contrepartie immédiate pour tous les pays de l'OCDE.</li></ul><p>Les paimenst et recettes de revenus d’IDE (ou les revenus sur les IDE entrants et sortants respectivement) par pays partenaire sont présentés selon le principe directionnel (sauf indication contraire dans les métadonnées au niveau du pays) ; ils sont mesurés en millions de dollars américains et en millions de monnaie nationale.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de relations directes avec l'étranger. Statistiques d'investissement (IDE) :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été lancée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p> NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY LAYOUT_COLUMN ACCOUNTING_ENTRY=NET_FDI,FDI_COMP=D,SECTOR=S1,LEVEL_COUNTERPART=IMC,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED REF_AREA=ITA,MEASURE=T_D4P_F,COUNTERPART_AREA=W,LEVEL_COUNTERPART=IMC,ACTIVITY=_T+A_B+C+C10T12+C13T18X15+C19T22+C24T28X27+C29_30+C15_23_27_31T33+D+E+F+GTU+G+H+I+J+K+L+M+N+O_T_U+P+Q+R+S+_X,UNIT_MEASURE=USD_EXC,LASTNPERIODS=2,DECIMALS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI income by economic activity, BMD4 Revenus d'IDE par activité économique, BMD4 <b>This dataset <i>FDI income by economic activity, BMD4</i> includes Foreign Direct Investment (FDI) payments and receipts by economic activity for OECD reporting economies:</b> <ul style="list-style-type=square"><li>FDI income payments (or income on inward FDI) by economic activity measure the total returns within a year on direct investment stocks paid by enterprises in the reporting economy, in a specific industry, to their foreign investors.</li><li>FDi income receipts (or income on outward FDI) by economic activity measure the total returns within a year on direct investment stocks received by investors in the reporting economy from their direct investment enterprises abroad, by industry. The industry sector corresponds to the activity of the direct investment enterprise or to the activity of the direct investor (more details on the activity allocation method for FDI income receipts are indicated in the metadata information attached at the country level).</li></ul><p>Income payments and receipts (or income on inward and outward FDI respectively) by economic activity are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions and in millions of national currency.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p> <b>Cet ensemble de données <i>Revenus d'IDE par activité économique, BMD4</i> inclut les paiements et les recettes d'investissements directs étrangers (IDE) par activité économique pour les économies déclarantes de l'OCDE :</b> <ul style="list-style-type=square"><li>Les paiements de revenus d'IDE (ou revenus sur les IDE entrants) par activité économique mesurent les rendements totaux des stocks d'investissements directs, au cours d'une année, payés par les entreprises de l'économie déclarante, dans un secteur industriel spécifique, à leurs investisseurs étrangers.</li><li>Les recettes des revenus d'IDE (ou les revenus des IDE sortants) par activité économique mesurent les rendements totaux des stocks d'investissements directs étrangers, au cours d'une année, reçus par les investisseurs de l'économie déclarante de leurs entreprises d'investissement direct à l'étranger, par secteur industriel. Le secteur industriel correspond à l'activité de l'entreprise d'investissement direct ou à l'activité de l'investisseur direct (plus de détails sur la méthode d'allocation des activités économiques pour les recettes d'IDE sont indiqués dans les métadonnées jointes au niveau du pays).</li></ul>< p>Les revenus payés et reçus (ou les revenus sur les IDE entrants et sortants respectivement) par activité économique sont présentés selon le principe directionnel (sauf indication contraire dans les métadonnées au niveau du pays) ; ils sont mesurés en millions de dollars et en millions de monnaie nationale.</p>mesurés en millions de dollars américains et en millions de monnaie nationale.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de relations directes avec l'étranger. Statistiques d'investissement (IDE) :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été lancée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p> NonProductionDataflow true REF_AREA,TYPE_ENTITY LAYOUT_ROW MEASURE_PRINCIPLE,ACCOUNTING_ENTRY,TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION SECTOR=S1,COUNTERPART_AREA=W,TYPE_ENTITY=_Z,LEVEL_COUNTERPART=IMC,ACTIVITY=_T,FDI_COLLECTION_ID=AGGR,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED MEASURE=LE_FA_F,FDI_COMP=D,TYPE_ENTITY=ALL+RSP,FREQ=A,LASTNPERIODS=2 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 8000 MAX_TABLE_DATA FDI positions main aggregates, BMD4 Positions d'IDE - Principaux agrégats, BMD4 <b>This dataset <i>FDI positions main aggregates, BMD4</i> is updated every quarter and includes annual aggregate Foreign Direct Investment (FDI) positions for OECD member countries and for non-OECD G20 countries (Argentina, Brazil, China, India, Indonesia, Saudi Arabia and South Africa), which are included in International Investment Position (IIP) accounts.</b><p>FDI positions record the total level of direct investment at a given point in time, usually the end of a quarter or of a year.</p><p>In this dataset, FDI positions are presented on two different basis:</p><ul style="list-style-type=square"><li><b>the asset/liability presentation</b>: FDI statistics are organised according to whether the investment relates to an asset or a liability for the country compiling the statistics. The asset/liability presentation does not show the direction of influence as the directional presentation does.</li><li><b>the directional presentation</b>: FDI statistics are organised according to the direction of the investment for the reporting economy—either outward or inward.</li><p>For more details on the difference between the two presentations, see the OECD note <a href="http://www.oecd.org/daf/inv/FDI-statistics-asset-liability-vs-directional-presentation.pdf">Implementing latest international standards-Asset liability versus directional presentation</a></p></ul><p>FDI positions aggregates in this dataset are measured in USD millions, in millions of national currency and as a share of GDP.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p><p>Historical and unrevised series of FDI positions aggregates under the previous BMD3 methodology can be accessed in the archived dataset <a href="https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_BOP_IIP&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=INWARD%2BOUTWARD.USD.&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=SERIES_BOP%2CTIME_PERIOD&ly[rw]=COU&vw=tb&pg=0 ">FDI series of BOP and IIP aggregates</a></p> <b>Cet ensemble de données <i>Principaux agrégats des positions d'IDE, BMD4</i> est mis à jour chaque trimestre et comprend les positions d'investissement direct étranger (IDE) agrégés annuels pour les pays membres de l'OCDE et pour les pays non OCDE du G20 ( Argentine, Brésil, Chine, Inde, Indonésie, Arabie Saoudite et Afrique du Sud), qui sont inclus dans les comptes de la position extérieure globale (PEG).</b><p>Les positions d'IDE enregistrent le niveau total des investissements directs à un moment donné, généralement à la fin d'un trimestre ou d'une année.</p><p> Dans cet ensemble de données, les positions d'IDE sont présentés sur deux bases différentes :</p><ul style="list-style-type=square"><li><b>le principe actif/passif</b> : les statistiques d'IDE sont organisées selon que l'investissement porte sur un actif ou un passif pour le pays qui établit les statistiques. La présentation selon le principe actif/passif ne reflète pas la direction d'influence comme le permet la présentation selon le principe directionnel.</li><li><b>le principe directionnel</b> : les statistiques d'IDE sont organisées en fonction de la direction de l'investissement de l’économie déclarante, sortant ou entrant.</li><p>Pour plus de détails sur la différence entre les deux présentations, voir la note de l'OCDE <a href="http://www.oecd.org/daf/inv/FDI- Statistics-asset-liability-vs-directionnel-presentation.pdf">Implementing latest international standards-Asset liability versus directional presentation</a></p></ul><p>Les agrégats de positions d'IDE dans cet ensemble de données sont mesurés en millions de dollars américains, en millions de monnaie nationale et en pourcentage du PIB.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de statistiques sur les investissements directs étrangers (IDE) :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été mise en place en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p><p>Les séries historiques et non révisées d'agrégats de positions d'IDE selon la précédente méthodologie BMD3 sont accessibles dans l'ensemble de données archivé <a href=" https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_BOP_IIP&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=INWARD%2BOUTWARD.USD.&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=SERIES_BOP%2CTIME_PERIOD&ly[rw]=COU&vw=tb&pg=0">IDE séries agrégées de BP et PEG</a></p> NonProductionDataflow true COUNTERPART_AREA LAYOUT_ROW TIME_PERIOD,MEASURE_PRINCIPLE,LEVEL_COUNTERPART,MEASURE,TYPE_ENTITY,ACCOUNTING_ENTRY LAYOUT_COLUMN FDI_COMP=D,SECTOR=S1,ACTIVITY=_T,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED REF_AREA=ITA,MEASURE=LE_FA_F,ACCOUNTING_ENTRY=NET_FDI,COUNTERPART_AREA=W+W_X+OECD00+AUS+CAN+FRA+DEU+ITA+JPN+KOR+MEX+TUR+GBR+USA+E+F+ZAF+A+A7+ARG+BRA+S+S3+S35+SAU+S6+CHN+IND+IDN+O,UNIT_MEASURE=USD_EXC,LASTNPERIODS=2,DECIMALS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI positions by counterpart area, BMD4 Positions d'IDE par zone de contrepartie, BMD4 <b>This dataset <i>FDI positions by counterpart area, BMD4</i> includes inward and outward Foreign Direct Investment (FDI) positions by partner country for OECD reporting economies:</b><ul style="list-style-type=square"><li>Inward FDI positions by partner country measure the total level of direct investment in the reporting economy at the end of the year, by source countries, enabling, for example, the identification of the major sources of FDI for a specific OECD economy. Inward FDI positions are allocated to the immediate investing country but inward FDI positions allocated to the ultimate investing country are also available for some OECD economies.</li><li>Outward FDI positions by partner country measure the total level of direct investment from the reporting economy at the end of the year, by destination countries, enabling, for example, the identification of the major destinations of FDI for a specific OECD economy. Outward FDI positions are allocated to the immediate counterpart country for all OECD countries. </li></ul><p>Inward and outward FDI positions by partner country are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions, in millions of national currency and as a share of total FDI positions.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p><p>Historical and unrevised series of FDI positions by counterpart area under the previous BMD3 methodology can be accessed in the archived dataset <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_POSITION_PARTNER&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=.V1%2BA1UN%2BA1%2BF7%2BIDN%2BIND%2BCHN%2BF6REC%2BSAU%2BF4%2BF2%2BBRA%2BARG%2BF1REC%2BF1%2BE7%2BZAF%2BE6%2BE4%2BE1%2BUSA%2BGBR%2BTUR%2BMEX%2BKOR%2BJPN%2BITA%2BDEU%2BFRA%2BCAN%2BAUS%2BA8.USD.ITA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=FLOW%2CTIME_PERIOD&ly[rw]=PC&vw=tb">FDI positions by partner country</a>.</p> <b>Cet ensemble de données <i>Positions d'IDE par zone de contrepartie, BMD4</i> inclut les investissements directs étrangers entrants et sortants ( Positions d'IDE) par pays partenaire pour les économies déclarantes de l'OCDE :</b> <ul style="list-style-type=square"><li>Les positions d'IDE entrant par pays partenaire mesurent le niveau total d'investissement direct dans l’économie déclarante à la fin de l’année, par pays d’origine, ce qui permet, par exemple, d’identifier les principales sources d’IDE pour une économie spécifique de l’OCDE. Les positions d'IDE entrants sont alloués au pays investisseur immédiat, mais les positions d'IDE entrants allouées au pays investisseur final sont également disponibles pour certaines économies de l'OCDE.</li><li>Les positions d'IDE sortants par pays partenaire mesurent le niveau total d'investissement direct du pays l’économie déclarante à la fin de l’année, par pays de destination, permettant, par exemple, d’identifier les principales destinations des IDE pour une économie spécifique de l’OCDE. Les positions d’IDE sortants sont alloués au pays de contrepartie immédiat pour tous les pays de l’OCDE. </li></ul><p>Les positions d'IDE entrants et sortants par pays partenaire sont présentées selon le principe directionnel (sauf indication contraire dans les métadonnées attachées au niveau du pays); elles sont mesurées en millions de dollars américains, en millions de monnaie nationale et en pourcentage du total des positions d'IDE.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de statistiques sur les investissements directs étrangers (IDE) :</p><ul style="list-style-type=square"><li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li><li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été publiée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p><p>Les séries historiques et non révisées de positions d'IDE par zone de contrepartie selon l'ancienne méthodologie BMD3 sont accessibles dans l'ensemble de données archivé<a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_POSITION_PARTNER&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=.V1%2BA1UN%2BA1%2BF7%2BIDN%2BIND%2BCHN%2BF6REC%2BSAU%2BF4%2BF2%2BBRA%2BARG%2BF1REC%2BF1%2BE7%2BZAF%2BE6%2BE4%2BE1%2BUSA%2BGBR%2BTUR%2BMEX%2BKOR%2BJPN%2BITA%2BDEU%2BFRA%2BCAN%2BAUS%2BA8.USD.ITA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=FLOW%2CTIME_PERIOD&ly[rw]=PC&vw=tb">Positions d'IDE par pays partenaire</a>.</p> NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY,ACCOUNTING_ENTRY LAYOUT_COLUMN FDI_COMP=D,SECTOR=S1,LEVEL_COUNTERPART=IMC,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED REF_AREA=ITA,MEASURE=LE_FA_F,ACCOUNTING_ENTRY=NET_FDI,COUNTERPART_AREA=W,ACTIVITY=_T+A_B+C+C10T12+C13T18X15+C19T22+C24T28X27+C29_30+C15_23_27_31T33+D+E+F+GTU+G+H+I+J+K+L+M+N+O_T_U+P+Q+R+S+_X+PRV_RE+ATUXFPRV,LEVEL_COUNTERPART=IMC,UNIT_MEASURE=USD_EXC,LASTNPERIODS=2,DECIMALS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI positions by economic activity, BMD4 Positions d'IDE par activité économique, BMD4 <b>This dataset <i>FDI positions by economic activity, BMD4</i> includes inward and outward Foreign Direct Investment (FDI) positions by economic activity according to ISIC4 for OECD reporting economies:</b> <ul style="list-style-type=square"><li>Inward FDI positions by economic activity measure the total level of direct investment in a specific industry of the reporting economy at the end of the year, enabling, for example, the identification of the most attractive industry sectors for FDI in each OECD economy.</li><li>Outward FDI positions by economic activity measure the total level of direct investment from the reporting economy at the end of the year, by industry sector. The industry sector corresponds to the activity of the direct investment enterprise or to the activity of the direct investor (more details on the activity allocation method for outward FDI positions are indicated in the metadata information attached at the country level). </li></ul><p>Inward and outward FDI positions by economic activity are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions, in millions of national currency and as a share of total FDI positions. A cross-classification of inward and outward FDI positions by major ISIC4 sections and by main geographic aggregates are also available for some OECD reporting economies.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"><li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li><li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p><p>Historical and unrevised series of FDI positions by economic activity under the previous BMD3 methodology can be accessed in the archived dataset <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_POSITION_INDUSTRY&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=.0100%2B9999%2B9998%2B9997%2B9996D%2B9995%2B7395%2B6895%2B6495%2B5500%2B5295%2B5095%2B4500%2B4195%2B3595%2B3300%2B3295%2B2995%2B2595%2B2295%2B1605%2B3995%2B1495%2B0595.USD.ITA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=FLOW%2CTIME_PERIOD&ly[rw]=ECOACT&vw=tb">FDI positions by industry</a>.</p> <b>Cet ensemble de données <i>Positions d'IDE par activité économique, BMD4</i> comprend les investissements directs étrangers entrants et sortants ( Positions d'IDE) par activité économique selon la CITI4 pour les économies déclarantes de l'OCDE :</b> <ul style="list-style-type=square"><li>Les positions d'IDE entrant par activité économique mesurent le niveau total de l’investissement direct dans un secteur spécifique de l’économie déclarante à la fin de l’année, permettant, par exemple, d’identifier les secteurs industriels les plus attractifs pour l’IDE dans chaque économie de l’OCDE. </li><li>Les positions d'IDE sortant par activité économique mesurent le niveau total d'investissement direct de l'économie déclarante à la fin de l'année, par secteur industriel. Le secteur industriel correspond à l'activité de l'entreprise d'investissement direct ou à l'activité de l'investisseur direct (plus de détails sur la méthode d'allocation des activités pour les positions d'IDE sortants sont indiqués dans les métadonnées jointes au niveau du pays). </li></ul><p>Les positions d'IDE entrants et sortants par activité économique sont présentées selon le principe directionnel (sauf indication contraire dans les métadonnées au niveau du pays) ; ils sont mesurés en millions de dollars américains, en milloins de monnaie nationale et en proportion du total des positions d’IDE. Une classification croisée des positions d'IDE entrants et sortants par grandes sections de la CITI4 et par principaux agrégats géographiques est également disponible pour certaines économies déclarantes de l'OCDE.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de statistiques sur les investissements directs étrangers (IDE) :</p><ul style="list-style-type=square"><li>le <a href="http ://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE de l'IDE, 4e édition (BMD4) ;</a> et</li><li>le <a href ="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)</a></li></ul><p>Cette base de données de l'OCDE a été lancée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p><p>Les séries historiques et non révisées de positions d'IDE par activité économique selon l'ancienne méthodologie BMD3 sont accessibles dans l'ensemble de données archivé<a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_POSITION_INDUSTRY&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=.0100%2B9999%2B9998%2B9997%2B9996D%2B9995%2B7395%2B6895%2B6495%2B5500%2B5295%2B5095%2B4500%2B4195%2B3595%2B3300%2B3295%2B2995%2B2595%2B2295%2B1605%2B3995%2B1495%2B0595.USD.ITA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=FLOW%2CTIME_PERIOD&ly[rw]=ECOACT&vw=tb">Positions d'IDE par industrie</a>.</p> NonProductionDataflow true V2/structure/dataflow/,/DSD_FDIRRI_SCORES@DF_FDIRRI_SCORES/latest RELATED_DATA REF_AREA,SECTOR_FDIRRI,POL_CAT,MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,LASTNPERIODS=1 DEFAULT SECTOR_FDIRRI:OECD.DAF.INV:HCL_SECTOR_FDIRRI(1.0).H HIER_CONTEXT OECD FDI Regulatory Restrictiveness Index - Regulatory Database (beta) L'Indice de l'OCDE de restrictivité de la réglementation de l'IDE - Base de données réglementaire The OECD FDI Regulatory Restrictiveness Index (FDIRRI) - Regulatory Database provides information on all regulatory measures underlying the FDIRRI, including extracts of key legislation, explanatory comments, sources, and links. The Regulatory Database also shows the scores associated with each individual regulatory measure. Please note, however, that these do not represent sector or economy-level scores. Note also that the horizontal measures recorded in the database may not necessarily apply to all sectors or sub-sectors and may sometimes overlap with other sector-specific measures (database entries). The overlap of horizontal and sector-specific entries does not affect FDIRRI scores, i.e., it does not result in double counting. For cross-country comparisons, users should refer to the <a href="http://data-explorer.oecd.org/s/uj">OECD FDI Regulatory Restrictiveness Index - Scores database</a>. The OECD FDIRRI is a policy-based tool designed to measure statutory restrictions on foreign direct investment (FDI) across countries and over time. First established in 2003 and last revised in 2022, the FDIRRI serves as a benchmark for evaluating market access and other regulatory barriers to FDI, while also providing a means to monitor and promote FDI policy reforms. The FDIRRI assesses regulatory restrictions in 22 economic sectors, categorised into four policy areas: foreign equity limits, screening and approval, restrictions on key foreign personnel, and other restrictions. Only statutory measures that discriminate against foreign investors, or which are deemed particularly more burdensome to foreign investors, are accounted for as restrictions. Other important aspects of the investment climate (e.g., regulatory transparency, state monopolies, and any preferential treatment for selected investors, such as treaty-covered investors or those in special economic zones), as well as measures implemented for protecting the public order and essential security interests are not considered. Each policy measure is scored on a scale from 0 (fully open to FDI) to 1 (fully closed), with sectoral scores reflecting the sum across all policy categories, capped at 1. Standard sector weights are applied consistently across countries and over time to capture differences in the economic significance of sectors, ensuring that any variation in scores between countries is attributed to policy differences. Data are collected annually and reflect regulatory restrictions as of end December of the indicated year.<p>Please refer to the <a href="https://www.oecd.org/en/topics/sub-issues/sustainable-investment/fdi-regulatory-restrictiveness-index.html">FDIRRI webpage</a> for further details on the <a href="https://www.oecd.org/en/publications/oecd-fdi-regulatory-restrictiveness-index_6491e99d-en.html">methodology</a>.</p> L'indice de restrictivité réglementaire de l'IDE de l'OCDE (FDIRRI) - Base de données réglementaire fournit des informations sur toutes les mesures réglementaires sous-jacentes à l'indice FDIRRI, y compris des extraits de législation clé, des commentaires explicatifs, des sources et des liens. La Base de données réglementaire présente également les scores associés à chaque mesure réglementaire individuelle. Veuillez noter, cependant, que ceux-ci ne représentent pas des scores au niveau sectoriel ou économique. Notez également que les mesures horizontales enregistrées dans la base de données peuvent ne pas s'appliquer à tous les secteurs ou sous-secteurs et peuvent parfois chevaucher d'autres mesures spécifiques à un secteur (entrées de la base de données). Le chevauchement des entrées horizontales et spécifiques à un secteur n'affecte pas les scores du FDIRRI, c'est-à-dire qu'il n'entraîne pas de double comptage. Pour les comparaisons entre pays, les utilisateurs doivent se référer à la base de données des scores de l'indice de restrictivité réglementaire de l'IDE de l'OCDE. L'indice FDIRRI de l'OCDE est un outil fondé sur les politiques, conçu pour mesurer les restrictions statutaires sur l'investissement direct étranger (IDE) dans les différents pays et au fil du temps. Créé pour la première fois en 2003 et révisé pour la dernière fois en 2022, le FDIRRI sert de référence pour évaluer l'accès aux marchés et d'autres obstacles réglementaires à l'IDE, tout en fournissant un moyen de suivre et de promouvoir les réformes de politiques d'IDE. Le FDIRRI évalue les restrictions réglementaires dans 22 secteurs économiques, répartis en quatre domaines de politique : limites de participation étrangère, examen et approbation, restrictions sur le personnel clé étranger, et autres restrictions. Seules les mesures statutaires qui discriminent les investisseurs étrangers, ou qui sont jugées particulièrement plus contraignantes pour ces derniers, sont comptabilisées comme restrictions. D'autres aspects importants de l'environnement d'investissement (par exemple, la transparence réglementaire, les monopoles d'État et tout traitement préférentiel pour des investisseurs spécifiques, tels que ceux couverts par des traités ou situés dans des zones économiques spéciales) ne sont pas pris en compte. Chaque mesure de politique est notée sur une échelle de 0 (entièrement ouvert à l'IDE) à 1 (entièrement fermé), les scores sectoriels reflétant la somme de toutes les catégories de politiques, plafonnée à 1. Des pondérations sectorielles standards sont appliquées de manière cohérente dans tous les pays et au fil du temps pour refléter les différences dans la signification économique des secteurs, garantissant que toute variation des scores entre pays soit attribuée à des différences de politique. Les données reflètent les restrictions réglementaires en vigueur fin décembre. Veuillez consulter la page FDIRRI pour plus de détails sur la méthodologie. NonProductionDataflow true V2/structure/dataflow/,/DSD_FDIRRI_REG_DATABASE@DF_FDIRRI_REG_DATABASE/latest RELATED_DATA REF_AREA,SECTOR_FDIRRI LAYOUT_ROW TIME_PERIOD,POL_CAT LAYOUT_COLUMN MEASURE,SAF,EU_EX,LEG_PROV,COMMENT,OFF_SOURCES,OTH_SOURCES,LINK_SOURCES,MEASURE_STATUS,MEASURE_ID_FDIRRI,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=ALL,LASTNPERIODS=1,SECTOR_FDIRRI=_T,POL_CAT=ALL DEFAULT SECTOR_FDIRRI:OECD.DAF.INV:HCL_SECTOR_FDIRRI(1.0).H HIER_CONTEXT OECD FDI Regulatory Restrictiveness Index - Scores (beta) L'Indice de l'OCDE de restrictivité de la réglementation de l'IDE - Scores The OECD FDI Regulatory Restrictiveness Index (FDIRRI) is a policy-based tool designed to measure statutory restrictions on foreign direct investment (FDI) across countries and over time. First established in 2003 and last revised in 2022, the FDIRRI serves as a benchmark for evaluating market access and other regulatory barriers to FDI, while also providing a means to monitor and promote FDI policy reforms. The FDIRRI assesses regulatory restrictions in 22 economic sectors, categorised into four policy areas: foreign equity limits, screening and approval, restrictions on key foreign personnel, and other restrictions. Other important aspects of the investment climate (e.g., regulatory transparency, state monopolies, and any preferential treatment for selected investors, such as treaty-covered investors or those in special economic zones), as well as measures implemented for protecting the public order and essential security interests are not considered. Each policy measure is scored on a scale from 0 (fully open to FDI) to 1 (fully closed), with sectoral scores reflecting the sum across all policy categories, capped at 1. Standard sector weights are applied consistently across countries and over time to capture differences in the economic significance of sectors, ensuring that any variation in scores between countries is attributed to policy differences. Data are collected annually and reflect regulatory restrictions as of end December of the indicated year.<p>Please refer to the <a href="https://www.oecd.org/en/topics/sub-issues/sustainable-investment/fdi-regulatory-restrictiveness-index.html">FDIRRI webpage</a> for further details on the <a href="https://www.oecd.org/en/publications/oecd-fdi-regulatory-restrictiveness-index_6491e99d-en.html">methodology</a>.</p></p> L'Indice de l'OCDE de restrictivité de la réglementation de l'IDE (FDIRRI) est un outil conçu pour mesurer les restrictions statutaires à l'investissement direct étranger (IDE) dans les différents pays et au fil du temps. Établi en 2003 et révisé pour la dernière fois en 2022, l'indice FDIRRI sert de référence pour évaluer l'accès au marché et les autres obstacles réglementaires à l'IDE, tout en fournissant un moyen de suivre et de promouvoir les réformes des politiques d'IDE. Le FDIRRI évalue les barrières réglementaires dans 22 secteurs économiques, répartis en quatre catégories de restrictions : les limites de participation étrangère, la filtrage et l'approbation de l'IDE, les restrictions sur le personnel étranger clé, et d'autres restrictions. Seules les mesures statutaires discriminatoires à l'égard des investisseurs étrangers ou jugées particulièrement contraignantes pour ces derniers sont considérées comme des restrictions. D'autres aspects importants du climat d'investissement (par exemple la transparence des réglementations, les monopoles d'État et tout traitement préférentiel accordé de manière selective à certains investisseurs, par exemple les investisseurs couverts par un traité et les investisseurs dans les zones économiques spéciales) ne sont pas pris en compte. Chaque mesure réglementaire est notée sur une échelle de 0 (totalement ouvert aux IDE) à 1 (totalement fermé), les scores sectoriels reflétant la somme des scores de toutes les catégories de restrictions, plafonnée à 1. Des pondérations sectorielles standard sont appliquées de manière cohérente entre les pays et au fil du temps pour refléter les différences générales dans l'importance économique des secteurs, tout en garantissant que les variations de scores entre les pays sont attribuées aux différences de politiques appliqué. Les données reflètent les restrictions réglementaires à la fin du mois de décembre. Pour plus d'informations sur la méthodologie, veuillez consulter la page web du FDIRRI. NonProductionDataflow true MEASURE LAYOUT_ROW REF_AREA LAYOUT_COLUMN REF_AREA=IRL DEFAULT MEASURE:OECD.DAF.INV:HCL_MEASURE_QDD(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI statistics metadata, BMD4 Statistiques d'IDE, métadonnées selon BMD4 The qualitative database on FDI statistics according to the OECD Benchmark Definition, 4th edition (BMD4) includes information for OECD countries on methodology and practices underlying FDI statistics by partner country and by industry published by the OECD in the FDI statistics according to BMD4 database. <p>The FDI according to BMD4 metadata database includes a list of 80 questions, organised in nine main sections: </p> <ul style ="list-style-type=square"> <li><b>Section 1</b> relates to data and metadata dissemination by national sources;</li> <li><b>Section 2</b> relates to criteria and methods used for identifying direct investment enterprises;</li> <li><b>Section 3</b> on the coverage of FDI statistics is divided into three main sub-sections: <b>Section 3.A</b> relates to the general coverage of FDI statistics for example on the type of debt instruments covered; <b>Section 3.B</b> relates to the coverage of fellow enterprises specifically while <b>Section 3.C</b>relates to specific aspects of coverage for example the coverage of Collective Investment institutions;</li> <li><b>Section 4</b> relates to the valuation of FDI positions;</li> <li><b>Section 5</b> is divided into two sub-sections: Section 5.A relate to data sources used while Section 5.B relates to confidentiality management;</li> <li><b>Sections 6.A and 6.B</b> relate to the geographic and industry breakdown respectively of FDI;</li> <li><b>Section 7</b> covers Special Purpose Entities (SPEs);</li> <li><b>Section 8</b> covers FDI statistics by ultimate investing country;</li> <li><b>Section 9</b> covers the coherence of FDI statistics by partner country and industry published by the OECD with quarterly FDI aggregates published by the OECD, and with FDI CDIS positions published by the IMF.</li></p><p>For any questions, you can contact investment@oecd.org.</p> La base de données qualitatives concernant les statistiques d'IDE selon la 4ème édition de la Définition de Référence de l'OCDE pour les statistiques d'investissement direct international (BMD4) comprend, pour les pays de l'OCDE, des informations relatives à la méthodologie et aux pratiques sous-tendant les statistiques d'IDE par pays partenaire et par secteur, publiées par l'OCDE dans la base de données sur les statistiques d'IDE selon BMD4. <p>Cette base de métadonnées comprend une liste de 80 questions, organisées en neuf sections principales : </p> <ul style="list-style-type=square"> <li>La<b> Section 1</b> concerne la diffusion des données et des métadonnées par les sources nationales ;</li> <li>La<b> Section 2</b> concerne les critères et les méthodes utilisés pour identifier les entreprises d'investissement direct ;</li> <li>La<b> Section 3</b> concerne la couverture des statistiques d'IDE et est divisée en trois sous-sections principales : la <b>Section 3.A</b> concerne la couverture générale des statistiques d'IDE, par exemple sur le type de titres de créance couverts ; la <b>Section 3.B</b> concerne spécifiquement la couverture des entreprises sœurs, tandis que la <b>Section 3.C</b> se rapporte à des aspects spécifiques de la couverture, par exemple la couverture des institutions de placement collectif ;</li><li>La<b> Section 4</b> concerne la valorisation des positions d'IDE ;</li> <li>La<b>Section 5</b> est divisée en deux sous-sections : la section 5.A concerne les sources de données utilisées tandis que la section 5.B concerne la gestion de la confidentialité ;</li> <li>Les<b> Sections 6.A et 6.B</b> concernent respectivement la répartition géographique et sectorielle des IDE ;</li> <li>La<b> Section 7</b> couvre les entités ad hoc (SPE) ;</li> <li>La<b> Section 8</b> couvre les statistiques d'IDE par pays investisseur final ;</li> <li>La<b> Section 9</b> couvre la cohérence des statistiques d'IDE par pays partenaire et par secteur d'activité publiées par l'OCDE avec les agrégats trimestriels d'IDE publiés par l'OCDE et avec les positions CDIS sur les IDE publiées par le FMI.</li></p><p>Pour toute question, vous pouvez contacter investment@oecd.org.</p> RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DONOR,SECTOR,FLOW,CHANNEL,FLOWTYPE,AIDTYPE,AMOUNTTYPE LAYOUT_ROW_SECTION MD_DIM DRILLDOWN 0.95 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,ALLOCABLE,MARKER,SCORE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=5,DONOR=DAC,SECTOR=1000,MEASURE=100,CHANNEL=_T,MODALITY=_T,FLOW_TYPE=D,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.1).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE CRS-README|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=aa82b330-f4e5-4230-ba0c-fd3441bb80bb SNPC-LISEZMOI|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1f810df1-0d75-4b53-b7f9-b19c1ee90663 EXT_RESOURCE CRS-Parquet-v241025|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=50f0355e-8f61-4230-85f3-90b4db45bfc9 SNPC-parquet-v241025|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=50f0355e-8f61-4230-85f3-90b4db45bfc9 EXT_RESOURCE CRS-reduced-parquet-v241025|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3ff88887-18dc-43c8-abfc-ae49fe52c577 SNPC-parquet-réduit-v241025|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3ff88887-18dc-43c8-abfc-ae49fe52c577 EXT_RESOURCE CRS 2023 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2c5b7733-44c8-4c4c-a59b-1f7c2d75df8c SNPC 2023 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2c5b7733-44c8-4c4c-a59b-1f7c2d75df8c EXT_RESOURCE CRS 2022 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0f9670bd-5900-4e07-b49a-384890334534 SNPC 2022 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0f9670bd-5900-4e07-b49a-384890334534 EXT_RESOURCE CRS 2021 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d85be660-7811-45c1-b807-810b42055259 SNPC 2021 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d85be660-7811-45c1-b807-810b42055259 EXT_RESOURCE CRS 2020 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac3a59f6-5acb-4747-9ef3-3c00e2ab3eb5 SNPC 2020 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac3a59f6-5acb-4747-9ef3-3c00e2ab3eb5 EXT_RESOURCE CRS 2019 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=348f223c-7d11-43ad-ab95-b7c0ab537fdd SNPC 2019 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=348f223c-7d11-43ad-ab95-b7c0ab537fdd EXT_RESOURCE CRS 2018 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed94e89a-e81e-4718-ac69-2a51f5429657 SNPC 2018 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed94e89a-e81e-4718-ac69-2a51f5429657 EXT_RESOURCE CRS 2017 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=bf6e1a95-a4ac-4545-9e91-1a38c9b738de SNPC 2017 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=bf6e1a95-a4ac-4545-9e91-1a38c9b738de EXT_RESOURCE CRS 2016 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b64f050c-4e2f-44ed-a8e6-db32ce00fd4f SNPC 2016 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b64f050c-4e2f-44ed-a8e6-db32ce00fd4f EXT_RESOURCE CRS 2015 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4440e8de-f471-479a-9692-ddd7bf06d7d2 SNPC 2015 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4440e8de-f471-479a-9692-ddd7bf06d7d2 EXT_RESOURCE CRS 2014 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a990e786-6647-4e5a-8795-bbec445294ba SNPC 2014 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a990e786-6647-4e5a-8795-bbec445294ba EXT_RESOURCE CRS 2013 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fa4ae8e5-a954-4cd5-ae72-9053094bf98d SNPC 2013 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fa4ae8e5-a954-4cd5-ae72-9053094bf98d EXT_RESOURCE CRS 2012 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed338f01-47b7-421c-92be-dee8141202e8 SNPC 2012 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed338f01-47b7-421c-92be-dee8141202e8 EXT_RESOURCE CRS 2011 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=05dd3f52-a5fd-4d20-8ded-2b4159a5677b SNPC 2011 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=05dd3f52-a5fd-4d20-8ded-2b4159a5677b EXT_RESOURCE CRS 2010 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cb44825a-d8e8-41b0-80f8-f42e67f96136 SNPC 2010 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cb44825a-d8e8-41b0-80f8-f42e67f96136 EXT_RESOURCE CRS 2009 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a530b713-0f45-48d7-b921-e3a70871ba58 SNPC 2009 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a530b713-0f45-48d7-b921-e3a70871ba58 EXT_RESOURCE CRS 2008 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=251471b4-5117-49cf-8d73-7e9b4eb1860a SNPC 2008 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=251471b4-5117-49cf-8d73-7e9b4eb1860a EXT_RESOURCE CRS 2007 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f49c3166-e1fd-48f1-831a-c1fe38b96c1f SNPC 2007 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f49c3166-e1fd-48f1-831a-c1fe38b96c1f EXT_RESOURCE CRS 2006 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8d7734f9-4fc6-4c3a-994f-8bfd2713173d SNPC 2006 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8d7734f9-4fc6-4c3a-994f-8bfd2713173d EXT_RESOURCE CRS 2004-05 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=26a883a7-afb4-4d98-95e8-29cc63638c28 SNPC 2004-05 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=26a883a7-afb4-4d98-95e8-29cc63638c28 EXT_RESOURCE CRS 2002-03 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=28e76303-4d91-4a36-aabb-6cce13c084b2 SNPC 2002-03 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=28e76303-4d91-4a36-aabb-6cce13c084b2 EXT_RESOURCE CRS 2000-01 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02d8f462-08eb-4b99-b12d-bd6a0edf9625 SNPC 2000-01 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02d8f462-08eb-4b99-b12d-bd6a0edf9625 EXT_RESOURCE CRS 1995-99 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c0c345b3-74e8-499d-a280-e8af7e3f47e2 SNPC 1995-99 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c0c345b3-74e8-499d-a280-e8af7e3f47e2 EXT_RESOURCE CRS 1973-94 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=82c8801d-641f-49ec-8ace-9e003224c3d1 SNPC 1973-94 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=82c8801d-641f-49ec-8ace-9e003224c3d1 CRS: Creditor Reporting System (flows) SNPC: Système de notification des pays créanciers (flux) <p>The objective of the CRS Aid Activity database is to provide a set of readily available granular data that enables analysis on where aid goes, what purposes it serves and what policies it aims to implement, on a comparable basis for all providers who report their activity-level statistics to the OECD. Data are collected on individual projects and programmes, with a range of attributes for each activity. Further information on the definition and possible values of each attribute can be found in the <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">Converged Statistical Reporting Directives</a>.</p> <p>L'objectif de la base de données du SNPC sur les activités d'aide est de fournir un ensemble de données granulaires permettant d'analyser la destination de l'aide, ses objectifs et les politiques qu'elle vise à mettre en œuvre, sur une base comparable pour tous les fournisseurs qui notifient leurs statistiques au niveau des activités à l'OCDE. Les données sont collectées sur des projets et des programmes individuels, avec une série d'attributs pour chaque activité. De plus amples informations sur la définition et les valeurs possibles de chaque attribut sont disponibles dans les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/fr/pdf">Directives convergées pour l’établissement des rapports statistiques</a>.</p> RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DONOR,SECTOR,FLOW,CHANNEL,FLOWTYPE,AIDTYPE,AMOUNTTYPE LAYOUT_ROW_SECTION MD_DIM DRILLDOWN 0.85 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,ALLOCABLE,MARKER,SCORE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=5,DONOR=DAC,SECTOR=1000,MEASURE=100,CHANNEL=_T,MODALITY=_T,FLOW_TYPE=D,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.3).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.3).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE CRS-README|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=aa82b330-f4e5-4230-ba0c-fd3441bb80bb SNPC-LISEZMOI|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1f810df1-0d75-4b53-b7f9-b19c1ee90663 EXT_RESOURCE CRS-Parquet-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=50f0355e-8f61-4230-85f3-90b4db45bfc9 SNPC-parquet-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=50f0355e-8f61-4230-85f3-90b4db45bfc9 EXT_RESOURCE CRS-reduced-parquet-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3ff88887-18dc-43c8-abfc-ae49fe52c577 SNPC-parquet-réduit-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3ff88887-18dc-43c8-abfc-ae49fe52c577 EXT_RESOURCE CRS 2023 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2c5b7733-44c8-4c4c-a59b-1f7c2d75df8c SNPC 2023 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2c5b7733-44c8-4c4c-a59b-1f7c2d75df8c EXT_RESOURCE CRS 2022 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0f9670bd-5900-4e07-b49a-384890334534 SNPC 2022 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0f9670bd-5900-4e07-b49a-384890334534 EXT_RESOURCE CRS 2021 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d85be660-7811-45c1-b807-810b42055259 SNPC 2021 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d85be660-7811-45c1-b807-810b42055259 EXT_RESOURCE CRS 2020 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac3a59f6-5acb-4747-9ef3-3c00e2ab3eb5 SNPC 2020 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac3a59f6-5acb-4747-9ef3-3c00e2ab3eb5 EXT_RESOURCE CRS 2019 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=348f223c-7d11-43ad-ab95-b7c0ab537fdd SNPC 2019 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=348f223c-7d11-43ad-ab95-b7c0ab537fdd EXT_RESOURCE CRS 2018 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed94e89a-e81e-4718-ac69-2a51f5429657 SNPC 2018 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed94e89a-e81e-4718-ac69-2a51f5429657 EXT_RESOURCE CRS 2017 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=bf6e1a95-a4ac-4545-9e91-1a38c9b738de SNPC 2017 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=bf6e1a95-a4ac-4545-9e91-1a38c9b738de EXT_RESOURCE CRS 2016 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b64f050c-4e2f-44ed-a8e6-db32ce00fd4f SNPC 2016 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b64f050c-4e2f-44ed-a8e6-db32ce00fd4f EXT_RESOURCE CRS 2015 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4440e8de-f471-479a-9692-ddd7bf06d7d2 SNPC 2015 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4440e8de-f471-479a-9692-ddd7bf06d7d2 EXT_RESOURCE CRS 2014 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a990e786-6647-4e5a-8795-bbec445294ba SNPC 2014 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a990e786-6647-4e5a-8795-bbec445294ba EXT_RESOURCE CRS 2013 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fa4ae8e5-a954-4cd5-ae72-9053094bf98d SNPC 2013 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fa4ae8e5-a954-4cd5-ae72-9053094bf98d EXT_RESOURCE CRS 2012 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed338f01-47b7-421c-92be-dee8141202e8 SNPC 2012 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed338f01-47b7-421c-92be-dee8141202e8 EXT_RESOURCE CRS 2011 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=05dd3f52-a5fd-4d20-8ded-2b4159a5677b SNPC 2011 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=05dd3f52-a5fd-4d20-8ded-2b4159a5677b EXT_RESOURCE CRS 2010 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cb44825a-d8e8-41b0-80f8-f42e67f96136 SNPC 2010 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cb44825a-d8e8-41b0-80f8-f42e67f96136 EXT_RESOURCE CRS 2009 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a530b713-0f45-48d7-b921-e3a70871ba58 SNPC 2009 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a530b713-0f45-48d7-b921-e3a70871ba58 EXT_RESOURCE CRS 2008 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=251471b4-5117-49cf-8d73-7e9b4eb1860a SNPC 2008 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=251471b4-5117-49cf-8d73-7e9b4eb1860a EXT_RESOURCE CRS 2007 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f49c3166-e1fd-48f1-831a-c1fe38b96c1f SNPC 2007 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f49c3166-e1fd-48f1-831a-c1fe38b96c1f EXT_RESOURCE CRS 2006 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8d7734f9-4fc6-4c3a-994f-8bfd2713173d SNPC 2006 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8d7734f9-4fc6-4c3a-994f-8bfd2713173d EXT_RESOURCE CRS 2004-05 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=26a883a7-afb4-4d98-95e8-29cc63638c28 SNPC 2004-05 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=26a883a7-afb4-4d98-95e8-29cc63638c28 EXT_RESOURCE CRS 2002-03 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=28e76303-4d91-4a36-aabb-6cce13c084b2 SNPC 2002-03 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=28e76303-4d91-4a36-aabb-6cce13c084b2 EXT_RESOURCE CRS 2000-01 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02d8f462-08eb-4b99-b12d-bd6a0edf9625 SNPC 2000-01 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02d8f462-08eb-4b99-b12d-bd6a0edf9625 EXT_RESOURCE CRS 1995-99 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c0c345b3-74e8-499d-a280-e8af7e3f47e2 SNPC 1995-99 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c0c345b3-74e8-499d-a280-e8af7e3f47e2 EXT_RESOURCE CRS 1973-94 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=82c8801d-641f-49ec-8ace-9e003224c3d1 SNPC 1973-94 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=82c8801d-641f-49ec-8ace-9e003224c3d1 CRS: Creditor Reporting System (flows) SNPC: Système de notification des pays créanciers (flux) <p>This dataset provides readily available, granular data on who is giving what aid, to where, and for what purpose, on a flow basis. These data are comparable across all providers who report their activity-level statistics to the OECD.</p><p>Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute.</p><p>Users of the "related files", which contain the raw data by year (or altogether in .parquet format), may find descriptions of each column on the sheet "CRS bulk data – codebook" of <a href="https://webfs.oecd.org/oda/DataCollection/Resources/DAC-CRS-CODES.xlsx">this Excel file</a>.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p>Cet ensemble de données fournit des données granulaires facilement accessibles sur qui donne quelle aide, à quel pays et dans quel objectif, sur la base des flux. Ces données sont comparables entre tous les fournisseurs qui notifient leurs statistiques au niveau d'activité à l'OCDE.</p><p>Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut.</p><p>Les utilisateurs des « fichiers connexes », qui contiennent les données brutes par année (ou dans leur ensemble au format .parquet), peuvent trouver des descriptions de chaque colonne sur la feuille « CRS bulk data - codebook » dans <a href="https://webfs.oecd.org/oda/DataCollection/Resources/DAC-CRS-CODES.xlsx">ce fichier Excel</a>.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p> RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DONOR,SECTOR,FLOW,CHANNEL,FLOWTYPE,AIDTYPE,AMOUNTTYPE LAYOUT_ROW_SECTION MD_DIM DRILLDOWN OBS_STATUS=A,MD_DIM,MD_ID,ALLOCABLE,MARKER,SCORE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=5,DONOR=DAC,SECTOR=1000,MEASURE=250,CHANNEL=_T,MODALITY=_T,FLOW_TYPE=D,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.1).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Country Programmable Aid (CPA v1) Aide programmable par pays (APP v1) This is version 1 of the new methodology for CPA (based on CRS data). Ceci est la version 1 de la nouvelle methodologie de l'APP, données basé sur ceux du SNPC. RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DONOR,SECTOR,FLOW,CHANNEL,FLOWTYPE,AIDTYPE,AMOUNTTYPE LAYOUT_ROW_SECTION MD_DIM DRILLDOWN 0.9999 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,ALLOCABLE,MARKER,SCORE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=5,DONOR=DAC,SECTOR=1000,MEASURE=250,CHANNEL=_T,MODALITY=_T,FLOW_TYPE=D,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Country Programmable Aid (CPA v1) SNPC: Aide programmable par pays (APP v1) <p>Country Programmable Aid (CPA) refers to official development assistance (ODA) that is subject to multi-year planning at the country or regional level. The OECD has published data on CPA at the aggregate level (provider-partner country) since 2007.</p><p>This data represents an update to the measurement of CPA. The main improvement is that this version is derived entirely from the OECD's aid activity database, the Creditor Reporting System (CRS). CPA is calculated by subtracting the following categories of aid from the total of gross bilateral ODA (category = 10):</p><ul><li>Debt relief (modality: F01 and sector: 600)</li><li>Humanitarian aid (sector codes: 720,730,740)</li><li>Administrative costs not included elsewhere (modality: G01 and sector: 910)</li><li>Scholarships/training in donor country (modality: E01)</li><li>Imputed student costs (modality: E02)</li><li>Promotion of development awareness (modality: H01)</li><li>Refugees in donor country (modality: H02-H06 and sector: 930)</li><li>Core support to NGOs (modality: B01)</li><li>Equity investments (measure: 5xx)</li><li>Other unallocated (sector code: 998 OR recipient: "Developing countries unspecified")</li></ul><p>This measurement is an improvement from the previous CPA measure, which was derived from a combination of the OECD's aggregate aid tables and the CRS, resulting in an aggregate (provider-partner country) perspective on CPA. The result of the new measure is an activity-level perspective on CPA that provides much greater transparency on its composition and thereby allows users to conduct more granular analysis (e.g., by sector, channel, modality, etc.) on who is giving CPA where, how, and for what purpose. The measure is also therefore more replicable to users.</p><p>This DataFlow is a "version 1" of the updated CPA measure. The OECD welcomes feedback from users on the construction of the measure and its usability for analysis and advocacy. In early 2025, following further user consultation, the OECD will re-publish a "final" version of the updated measure, which will be published annually moving forward. Please contact <a href="mailto:dac.contact@oecd.org">dac.contact@oecd.org</a> with any questions or suggestions.</p> <p>L'aide programmable par pays (APP) désigne l'aide publique au développement (APD) qui fait l'objet d'une planification pluriannuelle au niveau national ou régional. L'OCDE publie des données sur l'APP au niveau agrégé (pays fournisseur-partenaire) depuis 2007.</p><p>Ces données représentent une mise à jour de la mesure de l'APP. La principale amélioration est que cette version est entièrement dérivée de la base de données de l'OCDE sur les activités d'aide, le système de notification des pays créanciers (SNPC). L'APP est calculée en soustrayant les catégories d'aide suivantes du total de l'APD bilatérale brute (catégorie = 10) :</p><ul><li>Allégement de la dette (modalité : F01 et code secteur : 600)</li><li>Aide humanitaire (codes secteur : 720, 730, 740)</li><li>Coûts administratifs non inclus ailleurs (modalité : G01 et code secteur : 910)</li><li>Bourses/formations dans le pays donneur (modalité : E01)</li><li>Coûts imputés pour les étudiants (modalité : E02)</li><li>Sensibilisation au développement (modalité : H01)</li><li>Réfugiés dans le pays donneur (modalité : H02-H06 et code secteur : 930)</li><li>Soutien de base aux ONG (modalité : B01)</li><li>Prises de participation (mesure : 5xx)</li><li>Autres non alloués (code secteur : 998 OU bénéficiaire : « Pays en développement non spécifiés »)</li></ul><p>Cette mesure est une amélioration par rapport à la mesure précédente de l'APP, qui était dérivée d'une combinaison des tableaux agrégés de l'aide de l'OCDE et du SNPC, ce qui donnait une perspective agrégée (pays fournisseur-partenaire) de l'APP. Le résultat de la nouvelle mesure est une perspective de l'APP au niveau de l'activité qui offre une bien plus grande transparence sur sa composition et permet ainsi aux utilisateurs d'effectuer une analyse plus granulaire (par exemple, par secteur, canal, modalité, etc.) sur qui donne l'APP, où, comment et dans quel but. La mesure est donc également plus facile à reproduire pour les utilisateurs.</p><p>Ces données constituent la « version 1 » de la mesure actualisée de l'APP. L'OCDE invite les utilisateurs à lui faire part de leurs commentaires sur l'élaboration de la mesure et son utilisation à des fins d'analyse et de plaidoyer. Au début de l'année 2025, après une nouvelle consultation des utilisateurs, l'OCDE publiera à nouveau une version « finale » de la mesure actualisée, qui sera ensuite publiée chaque année. Veuillez contacter <a href="mailto:dac.contact@oecd.org">dac.contact@oecd.org</a> pour toute question ou suggestion.</p> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1.001 SEARCH_WEIGHT OBS_STATUS,TYING_STATUS,SECTOR NOT_DISPLAYED DONOR=DAC,FLOW_TYPE=1160,PRICE_BASE=V+Q,LASTNPERIODS=10 DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE DAC1 full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=570b240e-df9c-4586-b53d-99946fac437d Données completes CAD1 (formatté dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=570b240e-df9c-4586-b53d-99946fac437d DAC1: Flows by provider (ODA+OOF+Private) CAD1: Flux par fournisseur (APD+AASP+privé) <p>This dataset provides main aggregates of DAC members' and other provider countries' official development assistance (ODA) flows and grant equivalents, as well as other resource flows to developing countries.</p><p>To assist with the transition between systems, we provide a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC1.csv">mapping of codes</a> between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p>Cet ensemble de données fournit les principaux agrégats des flux d'aide publique au développement (APD) et des équivalents-dons des membres du CAD et d'autres pays fournisseurs, ainsi que d'autres flux de ressources vers les pays en développement.</p><p>Pour faciliter la transition entre les systèmes, nous fournissons une <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC1.csv">correspondance des codes</a> entre OECD.Stat (ancien système) et OECD Data Explorer. Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p> NonProductionDataflow true SECTOR LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1 SEARCH_WEIGHT OBS_STATUS,TYING_STATUS,FLOW_TYPE=_Z,SECTOR=_Z NOT_DISPLAYED DONOR=ALLD,MEASURE=528,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE DAC5 full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce0c6657-1a43-4193-954f-97599b41a546 Données completes CAD5 (formatté dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce0c6657-1a43-4193-954f-97599b41a546 DAC5: Aid (ODA) by sector and provider CAD5: Aide (APD) par secteur et par fournisseur <p>This dataset provides aggregate statistics on the sectoral destination of bilateral official development assistance (ODA) flows and other official flows (OOF), excluding officially-supported export credits.</p><p>To assist with the transition between systems, we provide a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC5.csv">mapping of codes</a> between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p>Cet ensemble de données fournit des statistiques agrégées sur la destination sectorielle des flux bilatéraux d'aide publique au développement (APD) et des autres flux officiels (OOF), à l'exclusion des crédits à l'exportation bénéficiant d'un soutien public.</p><p>Pour faciliter la transition entre les systèmes, nous fournissons une <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC5.csv">correspondance des codes</a> entre OECD.Stat (ancien système) et OECD Data Explorer. Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p> NonProductionDataflow true DONOR LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TYING_STATUS LAYOUT_ROW_SECTION 1 SEARCH_WEIGHT OBS_STATUS,FLOW_TYPE=_Z,SECTOR=_Z NOT_DISPLAYED DONOR=ALLD+DAC+ALLM,MEASURE=74,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE DAC7B full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b23e4a6a-2bb9-425e-b997-a2d1c28b33d1 Données completes CAD7B (formatté dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b23e4a6a-2bb9-425e-b997-a2d1c28b33d1 DAC7B: Aid (ODA) tying status DAC7B: Degré de liaison d'aide (APD) Table DAC 7b is used to report the tying status of bilateral ODA commitments. Members have agreed that administrative costs and technical co-operation expenditure should be disregarded in assessing the percentages of tied, partially untied and untied aid. These items should therefore not be included in the data reported in this table. Ce tableau vise à recueillir des informations sur le degré de liaison des engagements bilatéraux d'APD. Les Membres ont convenu d’ignorer les coûts administratifs et les dépenses de coopération technique dans l’évaluation du pourcentage de l’aide qui est respectivement, liée, partiellement déliée et non liée. Par conséquent, ces deux éléments ne seront pas pris en compte dans les données fournies dans ce tableau. NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FLOW_TYPE,MEASURE NOT_DISPLAYED RECIPIENT=DPGC,MEASURE=245,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=10 DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.0).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.0).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure Country programmable aid (CPA) Aide programmable par pays (APP) <p>CPA is the proportion of aid that is subjected to multi-year programming at country level, and hence represent a subset of ODA outflows. It takes as a starting point data on gross ODA disbursements by recipient but excludes spending which is: 1. inherently unpredictable (humanitarian aid and debt relief); or 2. entails no flows to the recipient country (administration costs, student costs, development awareness and research and refugee spending in donor countries); or 3. is usually not discussed between the main donor agency and recipient governments (food aid, aid from local governments, core funding to NGOs, aid through secondary agencies, ODA equity investments and aid which is not allocable by country); 4. CPA does not net out loan repayments, as these are not usually factored into aid allocation decisions. CPA is therefore a gross concept.</p> <p>L'APP est la proportion d'aide soumise à une programmation pluriannuelle au niveau des pays et ainsi représente une sous-catégorie des flux d'APD. Elle prend, comme point de départ, les données sur les versements bruts APD par bénéficiaire mais déduit les dépenses qui: 1. sont imprévisibles par nature (aide humanitaire et allègement de dette) ; 2. n'entraînent pas de flux transfrontaliers (frais administratifs, coûts imputés des étudiants, sensibilisation aux questions de développement, recherche, et réfugiés dans les pays donneurs) ; 3. ne s'inscrivent pas dans le cadre d'accords de coopération entre l'agence principale d'aide et les gouvernements des pays receveurs d'aide (aide alimentaire, aide des collectivités locales des pays donateurs et contributions au budget central des ONG) ; 4. L'APP ne prend pas en compte les remboursements des prêts car ils ne sont pas habituellement pris en compte dans les décisions d'affectation d'aide. L'APP est ainsi un concept brut.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1 SEARCH_WEIGHT OBS_STATUS=A,FLOW_TYPE NOT_DISPLAYED RECIPIENT=DPGC,MEASURE=206,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=5 DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE DAC2A full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=87917fc3-d015-4c13-8605-dfcf5211802f Données completes CAD2A (formatté dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=87917fc3-d015-4c13-8605-dfcf5211802f DAC2A: Aid (ODA) disbursements to countries and regions CAD2A: Versements d'aide (APD) vers les pays et régions <p>This dataset provides aggregate statistics on the geographical distribution of bilateral and multilateral disbursements of official development assistance (ODA) to developing countries and territories on the DAC List of ODA Recipients and multilateral agencies that are ODA-eligible. These data are presented by provider and partner country. Data disaggregated by some types of aid (e.g., grants, loans, and technical co-operation) or flows from philanthropic foundations are also available.</p><p>To assist with the transition between systems, we provide a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC2a.csv">mapping of codes</a> between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p>Cet ensemble de données fournit des statistiques agrégées sur la répartition géographique des versements bilatéraux et multilatéraux d'aide publique au développement (APD) aux pays et territoires en développement figurant sur la liste des bénéficiaires de l'APD du CAD et aux agences multilatérales éligibles à l'APD. Ces données sont présentées par fournisseur et par pays partenaire. Des données ventilées selon certains types d'aide (par exemple, les dons, les prêts et la coopération technique) ou les flux provenant de fondations philanthropiques sont également disponibles.</p><p>Pour faciliter la transition entre les systèmes, nous fournissons une <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC2a.csv">correspondance des codes</a> entre OECD.Stat (ancien système) et OECD Data Explorer. Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION 1 SEARCH_WEIGHT OBS_STATUS=A,FLOW_TYPE NOT_DISPLAYED RECIPIENT=DPGC,DONOR=DAC+AUS+AUT+BEL+CAN+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ITA+JPN+KOR+LVA+LTU+LUX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+GBR+USA,PRICE_BASE=Q,UNIT_MEASURE=USD DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE DAC2B full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d3d2c855-9096-4f2e-ada4-222336946ad0 Données completes CAD2B (formatté dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d3d2c855-9096-4f2e-ada4-222336946ad0 DAC2B: Other official flows (OOF) and export credits CAD2B: Autres apports du secteur public (AASP) et crédits à l'exportation <p>This dataset provides aggregate statistics on the geographical distribution of bilateral and multilateral disbursements of other official flows (OOF) to developing countries and territories on the DAC List of ODA Recipients and multilateral agencies that are ODA-eligible, including private sector instruments and officially-supported export credits.</p><p>OOF (excluding export credits) are transactions that do not meet the conditions for eligibility as ODA, either because they are not primarily aimed at development, or they are not sufficiently concessional. Further information on the criteria for OOF are available in Chapter 1 of the Converged Statistical Reporting Directives. Officially supported export credits are extended by government-owned or -controlled specialised export-financing agencies or institutions for commercial purposes to finance a specific purchase of goods or services from within the creditor country.</p><p>To assist with the transition between systems, we provide a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC2b.csv">mapping of codes</a> between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p>Cet ensemble de données fournit des statistiques agrégées sur la répartition géographique des versements bilatéraux et multilatéraux d'autres apports du secteur public (AASP) aux pays et territoires en développement figurant sur la liste des bénéficiaires de l'APD du CAD et aux agences multilatérales éligibles à l'APD, y compris les instruments du secteur privé et les crédits à l'exportation bénéficiant d'un soutien public.</p><p>L'AASP (à l'exclusion des crédits à l'exportation) sont des transactions qui ne remplissent pas les conditions d'éligibilité à l'APD, soit parce qu'elles ne sont pas principalement destinées au développement, soit parce qu'elles ne sont pas suffisamment concessionnelles. De plus amples informations sur les critères de l'AASP sont disponibles dans le chapitre 1 des directives de notification statistique convergées. Les crédits à l'exportation bénéficiant d'un soutien public sont accordés par des agences ou institutions spécialisées dans le financement des exportations, détenues ou contrôlées par l'État, à des fins commerciales pour financer un achat spécifique de biens ou de services dans le pays créancier.</p><p>Pour faciliter la transition entre les systèmes, nous fournissons une <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC2b.csv">correspondance des codes</a> entre OECD.Stat (ancien système) et OECD Data Explorer. Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1 SEARCH_WEIGHT OBS_STATUS=A,FLOW_TYPE NOT_DISPLAYED RECIPIENT=DPGC,MEASURE=305,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=5 DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE DAC3A full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac235b5e-f7f9-4785-b039-19ed859e4ddb Données completes CAD3A (formatté dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac235b5e-f7f9-4785-b039-19ed859e4ddb DAC3A: Aid (ODA) commitments to countries and regions CAD3A: Engagements d'aide (APD) vers les pays et régions <p>This dataset provides aggregate statistics on the geographical distribution of bilateral and multilateral commitments of official development assistance (ODA) to developing countries and territories on the DAC List of ODA Recipients and multilateral agencies that are ODA-eligible. These data are presented by provider and partner country.</p><p>To assist with the transition between systems, we provide a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC3a.csv">mapping of codes</a> between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p>Cet ensemble de données fournit des statistiques agrégées sur la répartition géographique des engagements bilatéraux et multilatéraux d'aide publique au développement (APD) aux pays et territoires en développement figurant sur la liste des bénéficiaires de l'APD du CAD et aux agences multilatérales éligibles à l'APD. Ces données sont présentées par fournisseur et par pays partenaire.</p><p>Pour faciliter la transition entre les systèmes, nous fournissons une <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC3a.csv">correspondance des codes</a> entre OECD.Stat (ancien système) et OECD Data Explorer. Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1 SEARCH_WEIGHT OBS_STATUS=A,FLOW_TYPE NOT_DISPLAYED RECIPIENT=DPGC,MEASURE=490,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=5 DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE DAC4 full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=80b4c7ae-208e-4308-9d28-b68f958dc86a Données completes CAD4 (formatté dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=80b4c7ae-208e-4308-9d28-b68f958dc86a DAC4: Private direct investment and other private capital CAD4: Investissements directs privés et autres apports de capitaux privés <p>This dataset provides aggregate statistics on the geographical distribution of bilateral disbursements of private flows to developing countries and territories on the DAC List of ODA Recipients. Private flows are flows undertaken by firms and individuals residing in the reporting country.</p><p>To assist with the transition between systems, we provide a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC4.csv">mapping of codes</a> between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p>Cet ensemble de données fournit des statistiques agrégées sur la répartition géographique des versements bilatéraux de flux privés aux pays et territoires en développement figurant sur la liste des bénéficiaires de l'APD du CAD. Les flux privés sont des flux entrepris par des entreprises et des individus résidant dans le pays de notification.</p><p>Pour faciliter la transition entre les systèmes, nous fournissons une <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC4.csv">correspondance des codes</a> entre OECD.Stat (ancien système) et OECD Data Explorer. Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1 SEARCH_WEIGHT OBS_STATUS=A,FLOW_TYPE NOT_DISPLAYED RECIPIENT=DPGC,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=5 DEFAULT RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE Total ODF full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d17dad28-a77f-48e6-9350-ae919db1c2d8 Données completes Total ODF (formatté dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d17dad28-a77f-48e6-9350-ae919db1c2d8 Official development financing (ODF) by country and region Financement public du développement (FPD) par pays et région <p>Official Development Financing (ODF), measured for recipient countries only, is defined as the sum of their receipts of bilateral ODA, concessional and non-concessional resources from multilateral sources, and bilateral other official flows made available for reasons unrelated to trade, in particular loans to refinance debt.</p><p>For more information on these flows, please see the OECD’s main page on <a href="https://www.oecd.org/dac/financing-sustainable-development/development-finance-data/">development finance statistics</a>, including <a href="https:/www.oecd.org/dac/financing-sustainable-development/development-finance-data/faq.htm">Frequently Asked Questions (FAQs) on ODA</a>. See the <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">Converged Statistical Reporting Directives</a> governing these data.</p> <p>Financement public du développement (FPD) (agrégat calculé par bénéficiaires) : le total pour chaque bénéficiaire des apports d'APD bilatérale, des ressources mises à disposition par le secteur multilatéral, quelque soit l’élément de libéralité, et des AASP fournis pour des raisons n'ayant pas trait au commerce international, plus particulièrement les prêts dont l'objet est de refinancer l'endettement.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur les <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">statistiques de financement du développement</a>, y compris la <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/questions-frequentes.htm">Foire aux questions (FAQ) sur l'APD</a>. Voir les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">Directives de notification statistique convergées</a> (en anglais) régissant ces données.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1 SEARCH_WEIGHT OBS_STATUS=A,FLOW_TYPE NOT_DISPLAYED DONOR=DAC,MEASURE=967,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=5 DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE Total Official full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=487e51ac-3ff7-418c-b869-a650dda4da28 Données completes Total Official (formatté dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=487e51ac-3ff7-418c-b869-a650dda4da28 Official flows by country and region Apports secteur public par pays et région <p>This dataset provides aggregate statistics on official flows, which are the sum of official development assistance (ODA) and other official flows (OOF) disbursements to the recipient country shown.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p>Cet ensemble de données fournit des statistiques agrégées sur les flux officiels, qui sont la somme des versements d'aide publique au développement (APD) et d'autres apports du secteur public (AASP) au pays bénéficiaire indiqué.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1 SEARCH_WEIGHT OBS_STATUS=A,FLOW_TYPE NOT_DISPLAYED DONOR=DAC,UNIT_MEASURE=USD,LASTNPERIODS=5 DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE TotalReceipts full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d2ed1956-bdaf-49de-981a-7b00c3be42c0 Données completes TotalReceipts (formatté dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d2ed1956-bdaf-49de-981a-7b00c3be42c0 Receipts by country and region Recettes par pays et région <p>This dataset provides information on partner countries' total net receipts of financial flows. These flows include official development assistance (ODA), other official flows (OOF), and changes in the bilateral long-term assets of the private non-monetary and monetary sectors (e.g., guaranteed export credits, private direct investment, portfolio investment and, to the extent they are not covered in the preceding headings, loans by private banks).</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p>Cet ensemble de données fournit des informations sur les recettes nettes totales des flux financiers des pays partenaires. Ces flux comprennent l'aide publique au développement (APD), les autres apports du secteur public (AASP) et les variations des actifs bilatéraux à long terme des secteurs privés non monétaires et monétaires (par exemple, les crédits à l'exportation garantis, les investissements directs privés, les investissements de portefeuille et, dans la mesure où ils ne sont pas couverts par les rubriques précédentes, les prêts accordés par les banques privées).</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p> RECIPIENT LAYOUT_ROW TIME_PERIOD,SCORE LAYOUT_COLUMN DONOR,SECTOR LAYOUT_ROW_SECTION MD_DIM DRILLDOWN OBS_STATUS=A,MD_DIM,MD_ID,CHANNEL,MODALITY,MARKER NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=2,DONOR=DAC_EC,SECTOR=1000,ALLOCABLE=2,SCORE=2+1+10+0+99,FLOW_TYPE=C,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.1).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE Gender 2019-23 data.zip (dotStat format)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=070f8060-5694-4ebf-8de0-226019bb09d7 Gender 2019-23 data.zip (en format dotStat)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=070f8060-5694-4ebf-8de0-226019bb09d7 EXT_RESOURCE Gender 2015-18 data.zip (dotStat format)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=870ba4dc-a920-448c-bb69-82ac2d36ce10 Gender 2015-18 data.zip (en format dotStat)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=870ba4dc-a920-448c-bb69-82ac2d36ce10 EXT_RESOURCE Gender 2011-14 data.zip (dotStat format)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c15f5649-4958-4d8c-8531-31e5e9d1c49b Gender 2011-14 data.zip (en format dotStat)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c15f5649-4958-4d8c-8531-31e5e9d1c49b EXT_RESOURCE Gender 2007-10 data.zip (dotStat format)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=b5f09cb9-e9a6-4daf-a4f5-fb53b0cb2faa Gender 2007-10 data.zip (en format dotStat)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=b5f09cb9-e9a6-4daf-a4f5-fb53b0cb2faa EXT_RESOURCE Gender 2002-06 data.zip (dotStat format)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac849d85-daed-4c95-966b-0b8628a81965 Gender 2002-06 data.zip (en format dotStat)-v241224|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac849d85-daed-4c95-966b-0b8628a81965 GenderMarkers: Aid activities targeting gender equality and womens empowerment GerderMarkers: Activités d'aide visant l'égalité des sexes et l'autonomisation des femmes <p>This dataset contains commitment data (since 2002) and disbursement data (since 2009) on aid in support of gender equality from the CRS database.</p><p>In their reporting to the Development Assistance Committee (DAC) Creditor Reporting System (CRS), donors are requested to indicate for each activity whether or not it targets gender equality as one of its policy objectives. To qualify as “gender equality focussed,” an activity must explicitly promote gender equality and women’s empowerment.</p><p>An activity can either target gender equality as its “principal objective” or as a “significant objective”. A “principal” score (2) is assigned if gender equality was an explicit objective of the activity and fundamental to its design - i.e. the activity would not have been undertaken without this objective. A “significant” score (1) is assigned if gender equality was an important, but secondary, objective of the activity - i.e. it was not the principal reason for undertaking the activity. A “not targeted” score (0) is assigned if, after being screened against the gender equality policy marker, an activity is not found to target gender equality. Activities assigned a “principal objective” score should not be considered better than activities assigned a “significant objective” score, as donors that mainstream gender equality - and thus integrate it into their projects across a range of sectors - are more likely to allocate the marker score “significant” to their aid activities.</p><p>The gender equality marker allows an approximate quantification of aid flows that target gender equality as a policy objective. In marker data presentations the figures for principal and significant objectives should be shown separately and the sum referred to as the “estimate” or “upper bound” of gender equality-focussed aid.</p><p>An activity can have more than one principal or significant objective. Therefore, total amounts targeting the different objectives should not be added-up to avoid double-counting.</p><p>Policy markers seek information on the donor’s policy objectives which can be best assessed at the design stage of projects. This is why policy markers are applied to commitments. Policy marker data on a disbursement basis can also be compiled, but it is important to note that this does not mean the policy objectives of projects under implementation would have been re-assessed. Rather, the disbursements are linked to the qualitative information on the original commitment through project identifiers. Consequently, a project marked as gender equality focussed at the commitment stage will be flagged as gender equality focussed throughout its lifetime, unless the qualitative information was changed.</p><p>Consult more definitions, factsheets and the User guide for this dataset at: https://oe.cd/oda-gender-equality</p> <p>Cette base de données contient les engagements (depuis 2002) et les versements (depuis 2009) d’aide à l’égalité homme-femme ; ces informations proviennent de la base de données du SNPC.</p><p>Dans leur notification au Système de notification des pays créanciers (SNPC) du Comité d’aide au développement (CAD), les donneurs doivent indiquer, pour chaque activité, si elle vise l’égalité homme-femme comme objectif politique. Une activité doit explicitement promouvoir l’égalité homme-femme et l’autonomisation des femmes pour être classée comme orientée vers l'égalité hommes-femmes.</p><p>Chaque activité peut viser l’égalité homme-femme comme objectif « principal » ou « significatif ». La valeur « principal » (2) est attribuée si l’égalité homme-femme est un objectif explicite de l’activité et fondamental à sa conception : l’activité n’aurait pas été entreprise sans cet objectif. La valeur « significatif » (1) est attribuée si l’égalité homme-femme est un objectif important, mais secondaire de l’activité : ce n’est pas la raison principale d’entreprendre l’activité. La valeur « non orientée » (0) est attribuée si, après examen de l’activité en regard du marqueur de l’égalité homme-femme, il s’avère qu’elle ne vise pas cet objectif. La qualification du marqueur par la valeur « objectif principal » ne devrait pas être considérée comme “supérieure” à la valeur « objectif significatif » car, en cas d’intégration systématique, l’égalité homme-femme sera souvent un « objectif significatif », intégré dans les projets visant tous les secteurs.</p><p>Le marqueur « égalité homme-femme » permet de quantifier approximativement les apports de l’aide visant l’égalité homme-femme. Dans les présentations chiffrées du marqueur, les données concernant l’objectif « principal » et l’objectif « significatif » devraient être montrées séparément, et leur total présenté comme une « estimation » ou une « limite supérieure » des montants d’aide visant l’égalité homme-femme.</p><p>Il se peut qu’une activité soit assortie de plusieurs objectifs principaux ou significatifs. Par conséquent, afin d’éviter les double comptages, les totaux pour chacun des objectifs ne doivent pas être additionnés.</p><p>Les marqueurs renseignent sur la nature des objectifs politiques du donneur qui sont mieux à même d’être évalués lors de l’étape de conception des projets. C’est pourquoi les marqueurs politiques s’appliquent aux engagements. Il est toujours possible de préparer des statistiques pour les marqueurs sur la base des versements, mais il est important de signaler que les objectifs politiques des projets en cours d’exécution n’en seraient pas réévalués pour autant. En effet, les versements sur un projet restent liés à l’engagement d’origine et aux informations qualitatives associées (à travers l’identifiant de projet) ; donc, un projet qualifié comme visant l’égalité homme-femme au stade de l’engagement restera qualifié comme tel durant tout son cycle de vie, à moins que l’information qualitative ne soit modifiée.</p><p>Pour plus de définitions, de brochures sur l’aide dans ce domaine ainsi que pour le Guide de l’utilisateur de cette base de données, aller à : </p><p>https://oe.cd/apd-genre</p> RECIPIENT LAYOUT_ROW TIME_PERIOD,SCORE LAYOUT_COLUMN DONOR,SECTOR LAYOUT_ROW_SECTION MD_DIM DRILLDOWN 0.9999 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,CHANNEL,MODALITY,MARKER NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=2,DONOR=DAC_EC,SECTOR=1000,ALLOCABLE=2,SCORE=2+1+10+0+99,FLOW_TYPE=C,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE Gender 2019-23 data.zip (dotStat format)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=ad849304-26bd-4585-8ec5-559fb99c2673 Gender 2019-23 data.zip (en format dotStat)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=ad849304-26bd-4585-8ec5-559fb99c2673 EXT_RESOURCE Gender 2015-18 data.zip (dotStat format)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=870ba4dc-a920-448c-bb69-82ac2d36ce10 Gender 2015-18 data.zip (en format dotStat)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=870ba4dc-a920-448c-bb69-82ac2d36ce10 EXT_RESOURCE Gender 2011-14 data.zip (dotStat format)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c15f5649-4958-4d8c-8531-31e5e9d1c49b Gender 2011-14 data.zip (en format dotStat)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c15f5649-4958-4d8c-8531-31e5e9d1c49b EXT_RESOURCE Gender 2007-10 data.zip (dotStat format)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=b5f09cb9-e9a6-4daf-a4f5-fb53b0cb2faa Gender 2007-10 data.zip (en format dotStat)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=b5f09cb9-e9a6-4daf-a4f5-fb53b0cb2faa EXT_RESOURCE Gender 2002-06 data.zip (dotStat format)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac849d85-daed-4c95-966b-0b8628a81965 Gender 2002-06 data.zip (en format dotStat)-v20250415|http://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac849d85-daed-4c95-966b-0b8628a81965 GenderMarkers: Aid (ODA) activities targeting gender equality and women's empowerment GenderMarkers (SNPC): Activités d'aide (APD) visant l'égalité des sexes et l'autonomisation des femmes <p>This dataset contains bilateral data on aid (ODA) in support of gender equality and women's empowerment, using the OECD DAC Gender Equality policy marker, from the Development Assistance Committee (DAC) Creditor Reporting System (CRS). These data are available for commitments since 2002 and disbursements since 2009.</p><p>In their reporting to the DAC CRS, providers are requested to indicate for each activity whether or not it targets gender equality as one of its policy objectives. To qualify as "gender equality focused," an activity must explicitly promote gender equality and women's empowerment. An activity can target gender equality as its "principal" or "significant" objective, or not at all.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p>Cet ensemble de données contient des données bilatérales sur l'aide (APD) en faveur de l'égalité des sexes et de l'autonomisation des femmes, en utilisant le marqueur politique de l'égalité des sexes, provenant du Système de notification des pays créanciers (SNPC) du Comité d'aide au développement (CAD). Ces données sont disponibles pour les engagements depuis 2002 et les versements depuis 2009.</p><p>Dans leur notification au SNPC du CAD, les fournisseurs sont priés d'indiquer pour chaque activité si elle vise ou non l'égalité entre les hommes et les femmes comme l'un de ses objectifs politiques. Pour être qualifiée de « centrée sur l'égalité des sexes », une activité doit promouvoir explicitement l'égalité des sexes et l'autonomisation des femmes. Une activité peut cibler l'égalité des sexes en tant qu'objectif « principal » ou « significatif », ou ne pas la cibler du tout.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p> RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MD_DIM DRILLDOWN OBS_STATUS=A,MD_DIM,MD_ID,ALLOCABLE,MARKER,SCORE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=5,DONOR=DAC,SECTOR=1000,MEASURE=100,CHANNEL=_T,MODALITY=_T,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.1).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure CRS: Creditor Reporting System (grant equivalent) SNPC: Système de notification des pays créanciers (équivalent-don) CRS dataset on grant equivalent basis Tableau SNPC sur la base d'equivalent-don RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MD_DIM DRILLDOWN 0.86 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,ALLOCABLE,MARKER,SCORE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=5,DONOR=DAC,SECTOR=1000,MEASURE=100,CHANNEL=_T,MODALITY=_T,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.3).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.3).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure CRS: Creditor Reporting System grant equivalent SNPC: Système de notification des pays créanciers (équivalent-don) <p>This dataset provides readily available, granular data on who is giving what aid, to where, and for what purpose, on a grant equivalent basis, and are available for data from 2018 onwards. These data are comparable across all providers who report their activity-level statistics to the OECD.</p><p>Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p>Cet ensemble de données fournit des données granulaires facilement accessibles sur qui donne quelle aide, à quel pays et dans quel objectif, sur la base des équivalents-dons. Ces données sont comparables entre tous les fournisseurs qui notifient leurs statistiques au niveau d'activité à l'OCDE.</p><p>Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p> RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN PROVIDER,SECTOR,MEASURE,FLOWTYPE LAYOUT_ROW_SECTION OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=10,PROVIDER=ALLD+DAC+WXDAC+ALLM,SECTOR=1000,MEASURE=_T,FLOW_TYPE=100,PRICE_BASE=V DEFAULT PROVIDER:OECD.DCD.FSD:HCL_MOBDONORS(1.0).H,RECIPIENT:OECD.DCD.FSD:HCL_MOBRECIPIENTS(1.0).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure 10000 MAX_TABLE_DATA Mobilised private finance for development Finance privée mobilisée pour le développement <p>The term "mobilisation" describes the causal link between private finance made available for a specific project and an official intervention. Instrument-specific methodologies underpinning the collection of this information can be found in Annex 6 of Addendum 1 to the Statistical Reporting Directives. More details on these efforts can be found on our web page: <a href="http://oe.cd/mobilisation">Amounts mobilised for development</a>.</p> <p>Le terme "mobilisation" décrit le lien de causalité entre le financement privé mis à disposition pour un projet spécifique et une intervention officielle. Les méthodologies spécifiques aux instruments qui sous-tendent la collecte de ces informations se trouvent à l'annexe 6 de l'addendum 1 des directives relatives aux rapports statistiques. Vous trouverez plus de détails à ce sujet sur le site : <a href="oe.cd/mobilisation">Montants mobilisés pour le développement</a>.</p> RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN PROVIDER,SECTOR,MEASURE,FLOWTYPE LAYOUT_ROW_SECTION OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=10,PROVIDER=ALLD+DAC+WXDAC+ALLM,SECTOR=1000,MEASURE=_T,FLOW_TYPE=100,PRICE_BASE=V DEFAULT PROVIDER:OECD.DCD.FSD:HCL_MOBDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_MOBRECIPIENTS(1.0).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure 10000 MAX_TABLE_DATA CRS – Private: Mobilised private finance for development SNPC - Privé: Finance privée mobilisée pour le développement <p>This dataset presents information on amounts mobilised from the private sector from members' official sector interventions. The term "mobilisation" describes the causal link between private finance made available for a specific project and an official intervention.</p><p>Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p>Cet ensemble de données présente des informations sur les montants mobilisés auprès du secteur privé pour les interventions des membres dans le secteur officiel. Le terme « mobilisation » décrit le lien de causalité entre le financement privé mis à disposition pour un projet spécifique et une intervention officielle.</p><p>Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p> CHANNEL LAYOUT_ROW MEASURE LAYOUT_COLUMN DONOR,SECTOR LAYOUT_ROW_SECTION MD_DIM DRILLDOWN 0.9999 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,MODALITY,ALLOCABLE,MARKER,SCORE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=1,DONOR=DAC,RECIPIENT=DPGC,SECTOR=1000,FLOW_TYPE=D,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.3).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.3).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE Entire dataset (dotStat format)-v20250206|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02cda88e-7c37-4504-9343-eb2af821991a La base entière (en format dotStat)-v20250206|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02cda88e-7c37-4504-9343-eb2af821991a Providers' total use of the multilateral system Utilisation du système multilatéral par les fournisseurs (SNPC) <p>This dataset presents providers' total use of the multilateral system, including their multilateral aid ("Core contributions to") and bilateral aid channelled through multilateral organisations ("Contributions through"). These data originate from members' reporting to the Development Assistance Committee (DAC) Creditor Reporting System (CRS). These data are published starting with 2011 data – activity-level data for multilateral aid is not complete in CRS for earlier years.</p><p>Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p><p><b>Please note</b>: the raw data, available under "Related files" below, has been updated on 06/02/2025 to reflect a correction related to the inclusion/exclusion of certain criteria, which affected the overall values for certain providers. Please refer to this file for the latest, corrected version.</p> <p>Cet ensemble de données présente l'utilisation totale du système multilatéral par les fournisseurs, y compris leur aide multilatérale (« Core contributions to ») et l'aide bilatérale acheminée par l'intermédiaire d'organisations multilatérales (« Contributions through »). Ces données proviennent des notifications des membres au Système de notification des pays créanciers (SNPC) du Comité d'aide au développement (CAD). Ces données sont publiées à partir de 2011 - les données au niveau de l'activité pour l'aide multilatérale ne sont pas complètes dans le SNPC pour les années antérieures.</p><p>Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p><p><b>Veuillez noter</b> que les données brutes, disponibles sous "Fichiers associés" ci-dessous, ont été mises à jour le 06/02/2025 pour refléter une correction liée à l'inclusion/exclusion de certains critères, ce qui a affecté les valeurs globales pour certains fournisseurs. Veuillez vous référer à ce fichier pour la dernière version corrigée.</p> CHANNEL LAYOUT_ROW MEASURE LAYOUT_COLUMN DONOR,SECTOR LAYOUT_ROW_SECTION MD_DIM DRILLDOWN 0.9999 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,MODALITY,ALLOCABLE,MARKER,SCORE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=1,DONOR=DAC,RECIPIENT=DPGC,SECTOR=1000,FLOW_TYPE=D,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE Entire dataset (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02cda88e-7c37-4504-9343-eb2af821991a La base entière (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02cda88e-7c37-4504-9343-eb2af821991a Providers' total use of the multilateral system Utilisation du système multilatéral par les fournisseurs (SNPC) <p>This dataset presents providers' total use of the multilateral system, including their multilateral aid ("Core contributions to") and bilateral aid channelled through multilateral organisations ("Contributions through"). These data originate from members' reporting to the Development Assistance Committee (DAC) Creditor Reporting System (CRS). These data are published starting with 2011 data – activity-level data for multilateral aid is not complete in CRS for earlier years.</p><p>Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p><p><b>Please note</b>: the raw data, available under "Related files" below, has been updated on 06/02/2025 to reflect a correction related to the inclusion/exclusion of certain criteria, which affected the overall values for certain providers. Please refer to this file for the latest, corrected version.</p> <p>Cet ensemble de données présente l'utilisation totale du système multilatéral par les fournisseurs, y compris leur aide multilatérale (« Core contributions to ») et l'aide bilatérale acheminée par l'intermédiaire d'organisations multilatérales (« Contributions through »). Ces données proviennent des notifications des membres au Système de notification des pays créanciers (SNPC) du Comité d'aide au développement (CAD). Ces données sont publiées à partir de 2011 - les données au niveau de l'activité pour l'aide multilatérale ne sont pas complètes dans le SNPC pour les années antérieures.</p><p>Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p><p><b>Veuillez noter</b> que les données brutes, disponibles sous "Fichiers associés" ci-dessous, ont été mises à jour le 06/02/2025 pour refléter une correction liée à l'inclusion/exclusion de certains critères, ce qui a affecté les valeurs globales pour certains fournisseurs. Veuillez vous référer à ce fichier pour la dernière version corrigée.</p> RECIPIENT LAYOUT_ROW TIME_PERIOD,SCORE LAYOUT_COLUMN DONOR,SECTOR LAYOUT_ROW_SECTION MD_DIM DRILLDOWN OBS_STATUS=A,MD_DIM,MD_ID,MEASURE,CHANNEL,MODALITY,ALLOCABLE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=2,DONOR=DAC_EC,SECTOR=1000,MARKER=60,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.1).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OtherMarkers 2022-23 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c9440770-76ea-414a-84f0-f8209145a0f0 OtherMarkers 2022-23 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c9440770-76ea-414a-84f0-f8209145a0f0 EXT_RESOURCE OtherMarkers 2020-21 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e0e47910-9974-4994-b650-694019885b2d OtherMarkers 2020-21 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e0e47910-9974-4994-b650-694019885b2d EXT_RESOURCE OtherMarkers 2018-19 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1fe52629-70af-461d-8e06-8d701c98f662 OtherMarkers 2018-19 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1fe52629-70af-461d-8e06-8d701c98f662 EXT_RESOURCE OtherMarkers 2014-17 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fdba88ab-1132-4daa-a3b1-6a30b0a09378 OtherMarkers 2014-17 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fdba88ab-1132-4daa-a3b1-6a30b0a09378 EXT_RESOURCE OtherMarkers 2010-13 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3fd2c811-71f0-48e4-9686-29e814ebfe9e OtherMarkers 2010-13 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3fd2c811-71f0-48e4-9686-29e814ebfe9e EXT_RESOURCE OtherMarkers 2002-09 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed00ed0b-0336-419b-9b12-0d5c9cf40f4a OtherMarkers 2002-09 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed00ed0b-0336-419b-9b12-0d5c9cf40f4a OtherMarkers: Aid activities targeting other policy objectives OtherMarkers: Activités d'aide visant d'autres objectifs politiques <p>This dataset contains bilateral commitment data on aid in support of five policy markers: 1) democratic and inclusive governance, 2) reproductive, maternal, newborn and child health (RMNCH), 3) nutrition, 4) inclusion and empowerment of persons with disabilities, and 5) disaster risk reduction (DRR) from the Development Assistance Committee (DAC) Creditor Reporting System (CRS) database.</p><p>In their reporting to the DAC CRS, donors are requested to indicate, for each activity, whether or not it targets the above-mentioned markers. A scoring system of three values is used, in which aid activities are "marked" as targeting the policy objective as either "principal objective" or "significant objective", or not targeting the objective. Reporting is voluntary for the nutrition and for the disability marker.</p> <p>Ces données contiennent les engagements bilatéraux en matière d'aide à l'appui de cinq marqueurs politiques : 1) la gouvernance démocratique et inclusive, 2) la santé reproductive, maternelle, néonatale et infantile (RMNCH), 3) la nutrition, 4) l'inclusion et l'autonomisation des personnes handicapées, et 5) la réduction des risques de catastrophe (RRC), à partir de la base de données du Système de notification des pays créanciers (SNPC) du Comité d'aide au développement (CAD).</p><p>Dans leur notification au SNPC du CAD, les donneurs sont priés d'indiquer, pour chaque activité, si elle cible ou non les marqueurs susmentionnés. Un système de notation à trois valeurs est utilisé, dans lequel les activités d'aide sont "marquées" comme ciblant l'objectif politique en tant qu'"objectif principal" ou "objectif significatif", ou ne ciblant pas l'objectif. La notification est volontaire pour les marqueurs de la nutrition et du handicap.</p> RECIPIENT LAYOUT_ROW TIME_PERIOD,SCORE LAYOUT_COLUMN DONOR,SECTOR LAYOUT_ROW_SECTION MD_DIM DRILLDOWN 0.9999 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,MEASURE,CHANNEL,MODALITY,ALLOCABLE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=2,DONOR=DAC_EC,SECTOR=1000,MARKER=60,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OtherMarkers 2022-23 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c9440770-76ea-414a-84f0-f8209145a0f0 OtherMarkers 2022-23 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c9440770-76ea-414a-84f0-f8209145a0f0 EXT_RESOURCE OtherMarkers 2020-21 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e0e47910-9974-4994-b650-694019885b2d OtherMarkers 2020-21 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e0e47910-9974-4994-b650-694019885b2d EXT_RESOURCE OtherMarkers 2018-19 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1fe52629-70af-461d-8e06-8d701c98f662 OtherMarkers 2018-19 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1fe52629-70af-461d-8e06-8d701c98f662 EXT_RESOURCE OtherMarkers 2014-17 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fdba88ab-1132-4daa-a3b1-6a30b0a09378 OtherMarkers 2014-17 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fdba88ab-1132-4daa-a3b1-6a30b0a09378 EXT_RESOURCE OtherMarkers 2010-13 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3fd2c811-71f0-48e4-9686-29e814ebfe9e OtherMarkers 2010-13 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3fd2c811-71f0-48e4-9686-29e814ebfe9e EXT_RESOURCE OtherMarkers 2002-09 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed00ed0b-0336-419b-9b12-0d5c9cf40f4a OtherMarkers 2002-09 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed00ed0b-0336-419b-9b12-0d5c9cf40f4a OtherMarkers: Aid activities targeting other policy objectives OtherMarkers (SNPC): Activités d'aide visant d'autres objectifs politiques <p>This dataset contains bilateral commitment data on aid in support of five policy markers: 1) democratic and inclusive governance, 2) reproductive, maternal, newborn and child health (RMNCH), 3) nutrition, 4) inclusion and empowerment of persons with disabilities, and 5) disaster risk reduction (DRR) from the Development Assistance Committee (DAC) Creditor Reporting System (CRS) database.</p><p>In their reporting to the DAC CRS, donors are requested to indicate, for each activity, whether it targets the above-mentioned markers or not. A scoring system of three values is used, in which aid activities are marked as targeting the policy objective as either as the "principal" or "significant" objective, or not at all. Reporting is voluntary for the nutrition and disability markers.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p>Cet ensemble de données contient des données sur les engagements bilatéraux en matière d'aide en faveur de cinq marqueurs politiques : 1) la gouvernance démocratique et inclusive, 2) la santé reproductive, maternelle, néonatale et infantile (RMNCH), 3) la nutrition, 4) l'inclusion et l'autonomisation des personnes handicapées, et 5) la réduction des risques de catastrophe (RRC) à partir de la base de données du Système de notification des pays créanciers (SNPC) du Comité d'aide au développement (CAD).</p><p>Dans leur notification au SNPC du CAD, les donateurs sont invités à indiquer, pour chaque activité, si elle cible ou non les marqueurs susmentionnés. Un système de notation à trois valeurs est utilisé, dans lequel les activités d'aide sont marquées comme ciblant l'objectif politique en tant qu'objectif « principal » ou « significatif », ou pas du tout. La notification est volontaire pour les marqueurs de la nutrition et du handicap.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p> RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MD_DIM DRILLDOWN OBS_STATUS=A,MD_DIM,MD_ID,CHANNEL,MODALITY,ALLOCABLE,MARKER,SCORE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=5,DONOR=9PRIV0,SECTOR=1000,MEASURE=_T,FLOW_TYPE=D,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.1).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE Entire dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=61c0116e-ef00-4f2d-9964-4be9e9fadb19 La base entière (en format dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=61c0116e-ef00-4f2d-9964-4be9e9fadb19 Private Philanthropy for Development Philanthropie privée pour le développement This dataset includes project-level information for more than 40 of the largest private philanthropic foundations working for development. Data are reported to the OECD Development Co-operation Directorate using the same statistical standards and definitions as those for ODA. Concerning data providers unable to share data on both commitments and disbursements, the missing flow type is proxied based on the one that is available. More details can be found at <a href="https://oe.cd/foundationsdata">oe.cd/foundationsdata</a>. Cet ensemble de données comprend des informations au niveau des projets pour plus de 40 des plus grandes fondations philanthropiques privées travaillant pour le développement. Les données sont communiquées à la Direction de la coopération pour le développement de l'OCDE en utilisant les mêmes normes et définitions statistiques que pour l'APD. En ce qui concerne les fournisseurs de données qui ne sont pas en mesure de partager des données sur les engagements et les décaissements, le type de flux manquant est calculé par approximation sur la base de celui qui est disponible. Plus de détails peuvent être trouvés sur le site <a href="https://oe.cd/foundationsdata">oe.cd/foundationsdata</a>. RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MD_DIM DRILLDOWN 0.9999 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,CHANNEL,MODALITY,ALLOCABLE,MARKER,SCORE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=5,DONOR=9PRIV0,SECTOR=1000,MEASURE=_T,FLOW_TYPE=D,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE Entire dataset (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=61c0116e-ef00-4f2d-9964-4be9e9fadb19 La base entière (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=61c0116e-ef00-4f2d-9964-4be9e9fadb19 Private Philanthropy for Development Philanthropie privée pour le développement <p>This dataset provides project-level information for over 40 of the largest private philanthropic foundations working for development. The data is reported to the OECD's Development Co-operation Directorate, using the same statistical standards and definitions as for ODA.</p><p>For providers who are unable to share data on both commitments and disbursements, the missing flow type is proxied based on the one that is available. More details can be found at <a href="oe.cd/foundationsdata">oe.cd/foundationsdata</a>.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p>Cet ensemble de données fournit des informations au niveau des projets pour plus de 40 des plus grandes fondations philanthropiques privées travaillant pour le développement. Les données sont notifiées à la Direction de la coopération pour le développement de l'OCDE en utilisant les mêmes normes et définitions statistiques que celles de l'APD.</p><p>Pour les fournisseurs qui ne sont pas en mesure de partager des données à la fois sur les engagements et les versements, le type de flux manquant est remplacé par celui qui est disponible. Plus de détails sont disponibles sur <a href="oe.cd/foundationsdata">oe.cd/foundationsdata</a>.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p> NonProductionDataflow true MEASURE LAYOUT_ROW DONOR LAYOUT_COLUMN OBS_STATUS=A,FREQ=OA,DONOR=ALLD NOT_DISPLAYED LASTNPERIODS=5 DEFAULT DONOR:OECD.DCD.FSD:HCL_IDRC_DONORS(1.0).H HIER_CONTEXT DAC members’ methodologies for reporting in-donor refugee costs in ODA Méthodes des membres du CAD pour calculer le coût des réfugiés dans les pays donneurs dans l'APD <p>This dataset contains qualitative data on DAC members' methodologies for reporting in-donor refugee costs in ODA. It provides the possibility to gain insights in the various methodologies used, and to compare them among members. Further information on the reporting rules as well as most members' entire methodologies can be found on the <a href="https://www.oecd.org/en/topics/sub-issues/oda-eligibility-and-conditions/in-donor-refugee-costs-in-official-development-assistance-oda.html">OECD webpage on in-donor refugee costs</a>.</p> <p>Cet ensemble de données contient des données qualitatives sur les méthodologies utilisées par les membres du CAD pour rapporter les coûts des réfugiés dans l'APD. Il permet de mieux comprendre les différentes méthodologies utilisées et de les comparer entre les membres. De plus amples informations sur les règles de déclaration ainsi que sur les méthodologies complètes de la plupart des membres sont disponibles sur la <a href="https://www.oecd.org/fr/topics/sub-issues/oda-eligibility-and-conditions/in-donor-refugee-costs-in-official-development-assistance-oda.html">page web de l'OCDE consacrée aux coûts des réfugiés dans les pays donneurs. </a>.</p> RECIPIENT LAYOUT_ROW TIME_PERIOD,SCORE LAYOUT_COLUMN DONOR,MARKER,SECTOR LAYOUT_ROW_SECTION MD_DIM DRILLDOWN OBS_STATUS=A,MD_DIM,MD_ID,MEASURE,CHANNEL,MODALITY NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=2,DONOR=DAC_EC,SECTOR=1000,ALLOCABLE=2,MARKER=10,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.1).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE RioMarkers 2018-23 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9e9ca1ed-9caf-4238-8112-71b263b90d3d RioMarkers 2018-23 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9e9ca1ed-9caf-4238-8112-71b263b90d3d EXT_RESOURCE RioMarkers 2014-17 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dec3f2e1-82bf-42a4-bfce-440f7c94a73c RioMarkers 2014-17 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dec3f2e1-82bf-42a4-bfce-440f7c94a73c EXT_RESOURCE RioMarkers 2010-13 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ca9cb1af-8f2a-42e8-a407-b2fc9327c928 RioMarkers 2010-13 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ca9cb1af-8f2a-42e8-a407-b2fc9327c928 EXT_RESOURCE RioMarkers 2006-09 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fbd7ca01-8625-41bf-ad65-19675a0839d6 RioMarkers 2006-09 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fbd7ca01-8625-41bf-ad65-19675a0839d6 EXT_RESOURCE RioMarkers 2002-05 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9da0aa30-97e1-406f-9070-d650f7281abe RioMarkers 2002-05 (en format dotStat)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9da0aa30-97e1-406f-9070-d650f7281abe RioMarkers: Aid activities targeting global environmental objectives RioMarkers: Activités d'aide visant les objectifs environmentaux mondiaux <p>This dataset contains bilateral commitment data on aid in support of environment sustainability and aid to biodiversity, climate change mitigation, climate change adaptation and desertification from the Development Assistance Committee (DAC) Creditor Reporting System (CRS) database.</p><p>In addition to bilateral flows presented in this dataset, an integrated view of climate-related development finance by both bilateral and multilateral providers is available on this website (click on the “Project-level data” to download in Excel or follow link to the “Data visualisation portal” to see the data graphically).</p><p>In their reporting to the DAC CRS, donors are requested to indicate for each activity whether or not it targets environment and the Rio Conventions (biodiversity, climate change mitigation, climate change adaptation and desertification). A scoring system of three values is used, in which aid activities are "marked" as targeting environment as the "principal objective" or a "significant objective", or as not targeting the objective.</p><p>The environment marker identifies activities that are "intended to produce an improvement in the physical and/or biological environment of the recipient country, area or target group concerned" or "include specific action to integrate environmental concerns with a range of development objectives through institution building and/or capacity development". A large majority of activities targeting the objectives of the Rio Conventions fall under the DAC definition of "aid to environment". The Rio markers permit their specific identification.</p><p><b>Watch out for double-counting!</b></p><p>The same activity can be marked for several objectives, e.g. climate change mitigation and biodiversity. These overlaps reflect that the three Rio Conventions are interlinked and mutually reinforcing. However, care needs to be taken not to double-count the amounts when compiling the total for aid in support of more than one Convention: biodiversity-, climate change- and desertification-related aid should not be added up as this can result in double or triple-counting.</p><p>Activity-level marker data that underlie the aggregate figures presented in this dataset are available for consultation and download: see "Export", "Related files".</p><p>Consult more definitions, factsheets and the User guide for this dataset (see <a href="http://www.oecd.org/dac/financing-sustainable-development/development-finance-topics/rioconventions.htm">Rio Conventions</a>).</p> <p>Cette base de données contient les engagements bilatéraux d’aide à l’environnement, à la biodiversité, à l’atténuation du changement climatique, à l’adaptation au changement climatique ainsi qu’à la désertification ; ces informations proviennent de la base de données du Système de notification des pays créanciers (SNPC).</p><p>En plus des données bilatérales présentées ici, une vue intégrée incluant à la fois les donneurs bilatéraux et les organisations multilatérales est disponible sur ce site (cliquez sur “Project-level data” pour télécharger les données en Excel ou suivez le lien vers “Data visualisation portal” pour accéder à une présentation graphique des données).</p><p>Dans leur notification au SNPC du CAD, les donneurs doivent indiquer, pour chaque activité, si elle vise un objectif environnemental ou les objectifs des Conventions de Rio (biodiversité, atténuation du changement climatique, adaptation au changement climatique, désertification). Un système de notation à trois valeurs est utilisé selon lequel les activités sont "marquées" comme visant l’environnement comme objectif "principal", "significatif", ou ne visant pas l’objectif.</p><p>Le marqueur "environnement" identifie les activités ayant pour objet "de produire une amélioration de l’environnement physique et/ou biologique du pays, de la région ou du groupe cible intéressé" ou qui contiennent "des mesures spécifiques pour intégrer les considérations environnementales dans les objectifs du développement à travers le soutien aux institutions et/ou le développement des capacités."</p><p>Une grande majorité des activités visant les objectifs des Conventions de Rio sont comprises dans la définition du CAD de "l’aide à l’environnement". Les marqueurs Rio permettent de les identifier de façon spécifique.</p><p>Attention aux double-comptages !</p><p>La même activité peut être marquée pour plusieurs objectifs à la fois, par exemple biodiversité et atténuation du changement climatique. Ces chevauchements reflètent les liens entre les trois Conventions et le fait qu’elles se renforcent mutuellement. Cependant, lorsqu’on établit le total de l’aide visant les objectifs de plus d’une Convention, il faut prendre soin de ne pas compter double les montants des activités visant plusieurs objectifs : les montants d’aide pour la biodiversité, le changement climatique et la désertification ne doivent pas être ajoutés car cela pourrait se traduire par du double voire triple comptage.</p><p>Les agrégats présentés dans cette base de données sont calculés à partir des activités d’aide notifiées par les donneurs dans le SNPC. Les activités d’aide et les marqueurs associés peuvent être téléchargés : voir "Export", "Related files".</p><p>Pour plus de définitions, de brochures sur l’aide dans ce domaine ainsi que pour le Guide de l’utilisateur de cette base de données, voir les <a href="http://www.oecd.org/fr/cad/financementpourledeveloppementdurable/themes-financement-developpement/conventionsrio.htm">Conventions rio</a>.</p> RECIPIENT LAYOUT_ROW TIME_PERIOD,SCORE LAYOUT_COLUMN DONOR,MARKER,SECTOR LAYOUT_ROW_SECTION MD_DIM DRILLDOWN 0.9999 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,MEASURE,CHANNEL,MODALITY NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=2,DONOR=DAC_EC,SECTOR=1000,ALLOCABLE=2,MARKER=10,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.4).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.4).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE RioMarkers 2022-23 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1e487b41-c6c3-4f19-b2d1-ffeea3c71911 RioMarkers 2022-23 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1e487b41-c6c3-4f19-b2d1-ffeea3c71911 EXT_RESOURCE RioMarkers 2018-21 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9e9ca1ed-9caf-4238-8112-71b263b90d3d RioMarkers 2018-21 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9e9ca1ed-9caf-4238-8112-71b263b90d3d EXT_RESOURCE RioMarkers 2014-17 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dec3f2e1-82bf-42a4-bfce-440f7c94a73c RioMarkers 2014-17 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dec3f2e1-82bf-42a4-bfce-440f7c94a73c EXT_RESOURCE RioMarkers 2010-13 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ca9cb1af-8f2a-42e8-a407-b2fc9327c928 RioMarkers 2010-13 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ca9cb1af-8f2a-42e8-a407-b2fc9327c928 EXT_RESOURCE RioMarkers 2006-09 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fbd7ca01-8625-41bf-ad65-19675a0839d6 RioMarkers 2006-09 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fbd7ca01-8625-41bf-ad65-19675a0839d6 EXT_RESOURCE RioMarkers 2002-05 (dotStat format)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9da0aa30-97e1-406f-9070-d650f7281abe RioMarkers 2002-05 (en format dotStat)-v20250415|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9da0aa30-97e1-406f-9070-d650f7281abe RioMarkers: Aid (ODA) activities targeting global environmental objectives RioMarkers (SNPC): Activités d'aide (APD) visant les objectifs environmentaux mondiaux <p>This dataset contains bilateral commitment data on aid in support of environment sustainability and aid to biodiversity, climate change mitigation, climate change adaptation and desertification from the Development Assistance Committee (DAC) Creditor Reporting System (CRS) database.</p><p>In their reporting to the DAC CRS, donors are requested to indicate for each activity whether it targets environment and the Rio Conventions (biodiversity, climate change mitigation, climate change adaptation and desertification) or not. A scoring system of three values is used, in which aid activities are marked as targeting environment as the "principal" or "significant" objective, or not at all. For more information on the scoring and criteria, please <a href="https://web-archive.oecd.org/temp/2023-05-22/658061-rioconventions.htm">see here</a>. Please note that the same activity can be marked for several objectives, and therefore caution should be used to avoid double-counting.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p>Cet ensemble de données contient des données sur les engagements bilatéraux concernant l'aide en faveur de la durabilité environnementale, l'aide à la biodiversité, l'atténuation du changement climatique, l'adaptation au changement climatique et la désertification, provenant de la base de données du Système de notification des pays créanciers (SNPC) du Comité d'aide au développement (CAD).</p><p>Dans leur notification au SNPC du CAD, les donateurs sont invités à indiquer pour chaque activité si elle cible ou non l'environnement et les conventions de Rio (biodiversité, atténuation du changement climatique, adaptation au changement climatique et désertification). Un système de notation à trois valeurs est utilisé, dans lequel les activités d'aide sont marquées comme ciblant l'environnement en tant qu'objectif « principal » ou « significatif », ou pas du tout. Pour plus d'informations sur la notation et les critères, <a href="https://web-archive.oecd.org/temp/2023-05-22/658061-rioconventions.htm">voir ici</a>. Veuillez noter qu'une même activité peut être marquée pour plusieurs objectifs et qu'il convient donc de faire preuve de prudence pour éviter les doubles comptages.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p> NonProductionDataflow true REF_AREA,MEASURE,SEX,DEG_URB,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE TABLE_ID=(TAB01+TAB02+TAB03+TAB04+TAB05+TAB06+TAB07+TAB08+TAB09+TAB10+TAB11+TAB12+TAB13+TAB14+TAB15+TAB16+TAB17+TAB18+TAB19+TAB20+TAB21+TAB22+TAB23+TAB24+TAB25+TAB26+TAB27+TAB28+TAB29+TAB30+TAB31+TAB32+TAB33+TAB34+TAB35+TAB36+TAB37+TAB38+TAB39),RESOURCERICH=(Z+N) NOT_DISPLAYED TIME_PERIOD_START=2015,TIME_PERIOD_END=2024,REF_AREA=EGY+ZAF+COD+ETH+TZA+NGA,MEASURE=POPULATION+GDP+GDPINC_RLPC+INFLATION+EMPLOYMENT DEFAULT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) - full historic data Dynamiques du développement en Afrique (DDAf) - toutes les données historiques L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces statistiques sont collectées auprès de diverses sources internationales réputées et sont rapportées au niveau national ou pour des agrégations de groupes de pays pertinents sur une base annuelle. L'Annexe comprend 39 tableaux d'indicateurs présentant différents thèmes de développement. <br><br> Ce tableau montre tous les indicateurs inclus dans tous les tableaux de l'Annexe statistique, pour toutes les années déclarées. Les utilisateurs peuvent comparer des séries chronologiques pour différents pays, zones géographiques et indicateurs de développement sélectionnés à l'aide des filtres du tableau. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These statistics are collected from a variety of reputable international sources and are reported at the national level or for aggregations of relevant country groupings on an annual basis. The Annex includes 39 tables of indicators presenting different development themes. <br><br> This table shows all indicators included in all tables in the Statistical Annex, for all years reported. Users can compare time series for different countries, geographic areas, and development indicators selected using the table filters. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2010,TIME_PERIOD_END=2023,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF,MEASURE=GDPINC_RL DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP growth rate Dynamiques du développement en Afrique (DDAf) Tableau 02 - Taux de croissance annuel du PIB réel L'Annexe statistique du rapport annuel sur les Dynamique de développement de l'Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 2 présente la série chronologique complète de la croissance annuelle du PIB réel jusqu’à présent, y compris les taux de croissance projetés du PIB réel au cours des cinq prochaines années. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 2 shows the full time series of annual real GDP growth, up to present, and including projected real GDP growth rates over the next five years. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2010,TIME_PERIOD_END=2023,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF,MEASURE=POPGRWTH DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 03 - Annual population growth rate Dynamiques du développement en Afrique (DDAf) Tableau 03 - Taux de croissance annuel de la population L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 3 présente la série chronologique complète de la croissance démographique annuelle, jusqu'à présent, et y compris la croissance démographique projetée au cours des cinq prochaines années, selon le scénario de la variante de fécondité moyenne dans les Perspectives de la population mondiale 2022 du Département des affaires économiques et sociales des Nations Unies. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 3 shows the full time series of annual population growth, up to present, and including projected population growth over the next five years according the medium fertility variant scenario in the World Population Prospects 2022 from the UN Department of Economic and Social Affairs. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2010,TIME_PERIOD_END=2023,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF,MEASURE=GDPINC_RLPC DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP growth per capita Dynamiques du développement en Afrique (DDAf) Tableau 04 - Taux de croissance annuelle du PIB réel par habitant L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 4 présente la série chronologique complète de la croissance annuelle du PIB réel par habitant, jusqu'à présent, et y compris les taux de croissance du PIB réel projetés au cours des cinq prochaines années, calculés à l'aide des chiffres de croissance du PIB réel et de croissance démographique rapportés dans l'Annexe statistique de l'DDAf. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 4 shows the full time series of annual real GDP growth per capta, up to present, and including projected real GDP growth rates over the next five years calculated using the real GDP growth and population growth figures reported in the AfDD Statistical Annex. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2023,TIME_PERIOD_END=2023,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 05 - Demographic estimates Dynamiques du développement en Afrique (DDAf) Tableau 05 - Estimations démographiques L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques de développement en Afrique en anglais et en français. <br><br> Le tableau 5 présente les chiffres de la population, ventilés par population rurale et urbaine, ainsi que les taux de vieillesse et de dépendance des enfants. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 5 shows figures on population, broken down by rural and urban population, as well as old-age and child-dependency ratios. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF,MEASURE=COARENT+FORRENT+NGSRENT+OILRENT+MINRENT+TOTNRRENT+AGRFR+MNIND+CNSTR+TRDHS+TNSCM+OTHER+MANUF+AGREMPPERTOT+INDEMPPERTOT+SRVEMPPERTOT+MANPPERTOT DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 08 - Sectoral breakdown of the economy Dynamiques du développement en Afrique (DDAf) Tableau 08 - Ventilation sectorielle de l'économie L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 8 montre la répartition des économies nationales par secteurs d'activité, en examinant la part de l'emploi, les contributions au PIB, ainsi que l'impact de l'extraction des ressources naturelles sur l'économie. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 8 shows the breakdown of national economies by sectors of activity, looking at share of employment, contributions to GDP, along with the impact of natural resource extraction on the economy. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 13 - Basic health indicators Dynamiques du développement en Afrique (DDAf) Tableau 13 - Indicateurs de santé de base L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 13 présente quelques indicateurs de santé de base, notamment l'espérance de vie, la fécondité et la mortalité par sexe, ainsi que l'indice de la faim dans le monde. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 13 shows a few indicators of basic health, including life expectancy, fertility, and mortality by sex, and the Global Hunger Index. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 15 - Growth decomposition by expenditure Dynamiques du développement en Afrique (DDAf) Tableau 15 - Décomposition de la croissance par dépenses L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 15 montre la décomposition de la croissance par dépenses, y compris la formation brute de capital fixe, les variations des stocks, les balances extérieures et la balance commerciale. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 15 shows growth decomposition by expenditure, including gross fixed capital formation, changes in inventories, foreign balances, and trade balance. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 16 - Public finances Dynamiques du développement en Afrique (DDAf) Tableau 16 - Finances publiques L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 16 présente des données sur les finances publiques, y compris les impôts, les recettes, les dépenses et la dette. Certains de ces chiffres ne sont pas disponibles au niveau national, mais uniquement pour des agrégations de groupes de pays. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 16 shows data on public finance, including taxes, revenues, expenditure, and debt. Some of these figures are not available at the national level, but only for aggregations of groups of countries. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 17 - Trade by manufacturing intensity Dynamiques du développement en Afrique (DDAf) Tableau 17 - Intensité du commerce dans l’industrie manufacturière L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 17 présente des données sur les finances publiques, y compris les impôts, les recettes, les dépenses et la dette. Certains de ces chiffres ne sont pas disponibles au niveau national, mais uniquement pour des agrégations de groupes de pays. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 17 shows data on public finance, including taxes, revenues, expenditure, and debt. Some of these figures are not available at the national level, but only for aggregations of groups of countries. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 18 - Export diversification Dynamiques du développement en Afrique (DDAf) Tableau 18 - Diversification des exportations L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 18 présente des indicateurs du degré de diversification des exportations, y compris les cinq produits les plus exportés par année, ainsi que leur part dans les exportations. Veuillez cliquer sur les boutons de métadonnées à côté des numéros afin de trouver les produits auxquels il est fait référence. Ce tableau comprend également le nombre de produits d'exportation qui représentent 75% et 90% des exportations totales. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 18 shows indicators of the degree of export diversification, including the five most exported products by year, along with their share of exports. Please click on the metadata buttons by the numbers in order to find the products being referred to. This table also includes the number of export products that amount to 75% and 90% of total exports. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 19 - Global and regional trade Dynamiques du développement en Afrique (DDAf) Tableau 19 - Commerce international et régional L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 19 présente des indicateurs de l’importance du commerce mondial et régional dans les importations et exportations nationales. Les indicateurs incluent le pourcentage des importations et exportations totales vers et depuis la Chine, les États-Unis et l'UE, au sein du même continent et de la même région, ainsi que la part du commerce intra et intercontinental qui correspond à des biens intermédiaires. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 19 shows indicators of the importance of global and regional trade in national imports and exports. Indicators include percentage of total imports and exports to and from China, the USA, and the EU, within the same continent, and the same region as well as the share of intra- and inter-continental trade which are intermediate goods. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 20 - External financial inflows Dynamiques du développement en Afrique (DDAf) Tableau 20 - Apports financiers extérieurs L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 20 présente les indicateurs des flux financiers externes en dollars américains et en pourcentage du PIB, y compris les investissements directs étrangers, les investissements de portefeuille, l'aide publique nette au développement et les envois de fonds. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 20 shows indicators of external financial flows in US dollars and as a percentage of GDP, including foreign direct investment, portfolio investment, net official development assistance, and remittances. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2019,TIME_PERIOD_END=2019,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 21 - Investment and capital stock Dynamiques du développement en Afrique (DDAf) Tableau 21 - Investissement et stock de capital L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 21 présente des indicateurs de flux d'investissement et de stocks de capital, en dollars américains et en pourcentage du PIB, y compris l'investissement des administrations publiques, les partenariats public-privé et l'investissement privé. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 21 shows indicators of investment flows and capital stocks, in US dollars and as a percentage of GDP, including general government investment, public-private partnerships, and private investment. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 22 - Returns on direct investments Dynamiques du développement en Afrique (DDAf) Tableau 22 - Retours sur investissements directs L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 22 présente des indicateurs de rendements sur les investissements directs, exprimés en pourcentage du PIB et en dollars américains. Il comprend les passifs d'investissement, les débits, les actifs et les crédits, ainsi que les rendements sur les flux entrants et sortants d'investissements. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 22 shows indicators of returns on direct investments, as a percentage of GDP and in US dollars. Includes investment liabilities, debit, assets, and credit, and returns on inward and outward flows of investments. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 23 - Ecological sustainability Dynamiques du développement en Afrique (DDAf) Tableau 23 - Durabilité écologique L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 23 présente des indicateurs de durabilité écologique, en termes d'utilisation des terres. Cela comprend le nombre d'hectares de terres alloués à différents types d'utilisation, le stock de carbone dans la biomasse vivante, l'utilisation d'engrais et la production de bois. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 23 shows indicators of ecological sustainability, in terms of land use. This includes number of hectars of land allocated to different kinds of use, carbon stock in living biomass, and fertiliser use, and wood production. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 25 - GHG Emissions by sector Dynamiques du développement en Afrique (DDAf) Tableau 25 - Émissions de GES par secteur L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 25 présente des statistiques sur les émissions de GES provenant de différentes sources. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 25 shows statistics on GHG emissions from different sources. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 26 - Electricity production and sustainable energy Dynamiques du développement en Afrique (DDAf) Tableau 26 - Production d'électricité et énergie durable L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 26 présente des statistiques sur l'accès à l'électricité pour les populations rurales et urbaines, ainsi que des statistiques sur les différentes sources d'électricité, la production et la capacité d'électricité et en termes d'investissement public. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 26 shows statistics on access to electricity for rural and urban populations, as well as statistics on different sources of electricity, electricity generation and capacity and in terms of public investment. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2019,TIME_PERIOD_END=2019,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 27 - Origin and destination of added value Dynamiques du développement en Afrique (DDAf) Tableau 27 - Origine et destination géographiques de la valeur ajoutée L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 27 présente des statistiques sur l'origine et la destination de la valeur ajoutée, qu'elle soit nationale, dans les pays voisins, au sein d'un même continent ou en dehors du continent. Cela indique dans quelle mesure les économies nationales participent aux chaînes de valeur régionales et mondiales. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 27 shows statistics on the origin and destination of added value, whether it is domestic, in neighbouring countries, within the same continent, or outside the continent. This is an indication of the degree to which national economies participate in regional and global value chains. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 28 - International trade costs Dynamiques du développement en Afrique (DDAf) Tableau 28 - Coûts du commerce international L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 28 montre le coût moyen de l'importation et de l'exportation de marchandises calculé en pourcentage de la valeur des marchandises échangées, ventilé par origine et destination des échanges, qu'il s'agisse de pays limitrophes, de pays de la même région ou de la même région ou continent. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 28 shows the average cost of importing and exporting goods calculated as a percentage of the value of goods traded, broken down by the origin and destination of the trade, whether it is with bordering countries, with countries in the same region, or the same continent. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2018,TIME_PERIOD_END=2018,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 29 - National wealth Dynamiques du développement en Afrique (DDAf) Tableau 29 - Richesse nationale L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 29 présente des estimations de la richesse nationale totale, en tenant compte du capital produit, du capital humain et des ressources naturelles. Ces estimations ont été calculées dans la publication de la Banque mondiale The Changing Wealth of Nations 2021. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 29 shows estimates of total national wealth, taking into account produced capital, human capital, and natural resources. These estimates were calculated in the World Bank publication The Changing Wealth of Nations 2021. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2019,TIME_PERIOD_END=2019,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 30 - Environmental causes of premature deaths Dynamiques du développement en Afrique (DDAf) Tableau 30 - Causes environnementales des décès prématurés L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 30 montre les coûts économiques des décès prématurés causés par divers risques environnementaux, tels que la pollution de l'air, l'eau insalubre et les températures élevées et basses. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 30 shows the economic costs of premature deaths caused by various environmental hazards, such as air pollution, unsafe water, and high and low temperatures. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 32 - Employment by occupation Dynamiques du développement en Afrique (DDAf) Tableau 32 - Emploi par profession L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 32 montre l'emploi total par sexe et dans 14 secteurs économiques différents. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 32 shows total employment by sex and within 14 different economic sectors. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 37 - Migration by education level Dynamiques du développement en Afrique (DDAf) Tableau 37 - Migrants selon leur niveau d’éducation L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 37 présente le nombre d'immigrants et d'émigrants par origine et destination et par niveau d'éducation. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 37 shows the number of immigrants and emigrants by origin and destination and by level of education. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 38 - Projected education profiles Dynamiques du développement en Afrique (DDAf) Tableau 38 - Profils éducatifs projetés L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 38 montre la population projetée en 2040 avec différents niveaux d'éducation, selon le scénario moyen et accéléré calculé par le Centre Wittgenstein pour la démographie et le capital humain mondial en 2018. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 38 shows the projected population in 2040 with different education levels, according to the medium and accelerated scenario as calculated by the Wittgenstein Centre for Demography and Global Human Capital in 2018. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 39 - Projected youth education profiles Dynamiques du développement en Afrique (DDAf) Tableau 39 - Profils projetés d’éducation des jeunes L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 38 montre la population de jeunes projetée en 2040 avec différents niveaux d'éducation, selon le scénario moyen et accéléré calculé par le Centre Wittgenstein pour la démographie et le capital humain mondial en 2018. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 38 shows the projected youth population in 2040 with different education levels, according to the medium and accelerated scenario as calculated by the Wittgenstein Centre for Demography and Global Human Capital in 2018. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 01 - Indicators of growth, employment and inequality Dynamiques du développement en Afrique (DDAf) Tableau 01 - Indicateurs de croissance, d'emploi et d'inégalités L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante : https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 1 comprend les principaux indicateurs de développement liés à la croissance, à l'emploi et aux inégalités, le principal thème général de la série Dynamique de développement en l'Afrique depuis son édition inaugurale en 2018. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 1 includes the main development indicators related to growth, employment, and inequality, the main overarching theme of the Africa's Development Dynamic series since its inaugural edition in 2018. The table reports the most recent year measured between 2014 and 2023 inclusive. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 06 - Basic education indicators Dynamiques du développement en Afrique (DDAf) Tableau 06 - Indicateurs d'éducation de base L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques de développement en Afrique en anglais et en français. <br><br> Le tableau 6 montre les taux d'alphabétisation par sexe, tant pour les jeunes que pour les adultes. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 6 shows literacy rates by sex, for both youth and adults. The table reports the most recent year measured between 2014 and 2023 inclusive. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 07 - Labour force characteristics Dynamiques du développement en Afrique (DDAf) Tableau 07 - Caractéristiques de la population active L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en l'Afrique en anglais et en français. <br><br> Le tableau 7 présente des indicateurs de main-d’œuvre, montrant comment la population active est répartie par sexe, par type d’emploi (employeurs, salariés, travailleurs à leur compte et travailleurs familiaux) et par présence d’emplois informels et vulnérables. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 7 shows labour force indicators, showing how the labour force is broken down by gender, by type of employment (employers, employees, own-account workers, and contributing family workers), and by the presence of informal and vulnerable employment. The table reports the most recent year measured between 2014 and 2023 inclusive. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 09 - Indicators of inequality and poverty Dynamiques du développement en Afrique (DDAf) Tableau 09 - Indicateurs des inégalités et de la pauvreté L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 9 présente divers indicateurs d'inégalité et de pauvreté, montrant différents seuils de pauvreté et montrant les taux de pauvreté au travail par sexe pour la population jeune et l'ensemble de la population de 15 ans et plus. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 9 shows various indicators of inequality and poverty, showing different poverty thresholds and showing working poverty rates by sex for both the young population and the entire population 15+. The table reports the most recent year measured between 2014 and 2023 inclusive. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 10 - Gender indicators Dynamiques du développement en Afrique (DDAf) Tableau 10 - Indicateurs de genre L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 10 présente des indicateurs d’inégalité entre les sexes, notamment l’Indice des institutions sociales et du genre (SIGI) élaboré par le Centre de développement de l’OCDE. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 10 shows indicators of gender inequality, including the Social Institutions and Gender Index (SIGI) developed by the OECD Development Centre. The table reports the most recent year measured between 2014 and 2023 inclusive. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 11 - Communications infrastructure Dynamiques du développement en Afrique (DDAf) Tableau 11 - Infrastructure de communications L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 11 présente les indicateurs de connectivité aux infrastructures de communication, notamment le téléphone, l'internet haut débit et la connectivité mobile. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 11 shows indicators of connectivity to communications infrastructure, including telephone, broadband internet, and mobile connectivity. The table reports the most recent year measured between 2014 and 2023 inclusive. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 12 - Digitalisation Dynamiques du développement en Afrique (DDAf) Tableau 12 - Numérisation L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 12 présente des indicateurs de la numérisation de l'économie, y compris des statistiques sur l'utilisation des sites web et des courriels par les entreprises, ainsi que le commerce total des services numériques. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 12 shows indicators of the digitalisation of the economy, including statistics on usage of websites and email by companies, and the total trade in digital services. The table reports the most recent year measured between 2014 and 2023 inclusive. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 14 - Subjective well-being Dynamiques du développement en Afrique (DDAf) Tableau 14 - Bien-être subjectif L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 14 présente une mesure du bien-être subjectif répartie en ses principaux composants : aspects négatif et positif, liberté de faire des choix de vie, générosité, et soutien social. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 14 shows a measure of subjective well-being broken down into its main components: negative and positive affect, freedom to make life choices, generosity, and social support. The table reports the most recent year measured between 2014 and 2023 inclusive. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 24 - Sustainable public investments and adjusted net savings Dynamiques du développement en Afrique (DDAf) Tableau 24 - Investissements publics durables et épargne nette ajustée L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 24 présente les indicateurs d’investissements dans la croissance durable et l’épargne nationale nette ajustée. Cela comprend des indicateurs de dépenses de santé et d’éducation, ainsi que les composantes de l’épargne nationale ajustée, y compris les dépenses d’éducation, l’épuisement des ressources énergétiques, minérales et forestières, ainsi que les dommages causés par le carbone et autres pollutions. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 24 shows indicators of investments in sustainable growth, and adjusted national net savings. This includes indicators of health and education expenditures, as well as the components of adjusted national savings, including education expenditure, depletion of energy, mineral, and forest resources, and carbon and other pollution damage. The table reports the most recent year measured between 2014 and 2023 inclusive. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 31 - Informal economies and informal employment Dynamiques du développement en Afrique (DDAf) Tableau 31 - Économies informelles et emploi informel L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 31 présente les indicateurs du travail informel et des activités informelles au sein des économies nationales. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 31 shows indicators of informal work, and informal activities within national economies. The table reports the most recent year measured between 2014 and 2023 inclusive. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 33 - Education mismatch Dynamiques du développement en Afrique (DDAf) Tableau 33 - Inadéquation de l’éducation L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 33 montre le pourcentage de travailleurs ayant des niveaux d'éducation supérieurs et inférieurs aux exigences d'emploi, par sexe et selon que les travailleurs sont des travailleurs indépendants ou des employés. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 33 shows the percentage of workers with education levels above and below employment requirements by sex, and by whether workers are self-employed or employees. The table reports the most recent year measured between 2014 and 2023 inclusive. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 34 - Mean years of education Dynamiques du développement en Afrique (DDAf) Tableau 34 - Nombre moyen d’années de scolarisation L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 34 présente les indicateurs de réussite scolaire par sexe, y compris la durée moyenne d'études en mathématiques et en lecture, ainsi que les taux d'achèvement des études secondaires. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 34 shows education attainment indicators by sex, including mean years of education for math and reading, and secondary school completion rates. The table reports the most recent year measured between 2014 and 2023 inclusive. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 35 - Employment by occupation Dynamiques du développement en Afrique (DDAf) Tableau 35 - Emploi par secteur L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 35 présente l'emploi par type de profession et par niveau de compétence évalué pour les professions. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 35 shows employment by type of occupation, and by assessed skill level of the occupations. The table reports the most recent year measured between 2014 and 2023 inclusive. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 36 - Employment by business activity and skill level Dynamiques du développement en Afrique (DDAf) Tableau 36 - Emploi par activité commerciale et niveau de compétence L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 36 comprend le nombre de travailleurs par pays, par activité commerciale et par niveau de compétence. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 36 includes the number of workers by country by business activity and skill level. The table reports the most recent year measured between 2014 and 2023 inclusive. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N) NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF,TABLE_ID=TAB01+TAB05+TAB06+TAB07 DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) - all tables, all indicators Dynamiques du développement en Afrique (DDAf) - tous les tableaux, tous les indicateurs L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces statistiques sont collectées auprès de diverses sources internationales réputées et sont rapportées au niveau national ou pour des agrégations de groupes de pays pertinents sur une base annuelle. L'Annexe comprend 39 tableaux d'indicateurs présentant différents thèmes de développement. <br><br> Ce tableau présente les chiffres les plus récents collectés entre 2014 et 2023 pour tous les indicateurs inclus dans tous les tableaux de l'Annexe statistique, que les utilisateurs peuvent sélectionner pour comparaison à l'aide des filtres du tableau. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These statistics are collected from a variety of reputable international sources and are reported at the national level or for aggregations of relevant country groupings on an annual basis. The Annex includes 39 tables of indicators presenting different development themes. <br><br> This table shows the most recent figures collected between 2014 and 2023 for all indicators included in all tables in the Statistical Annex, which users can select for comparison using the table filters. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW HOUSEHOLD_INF LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Households with workers living with less than international poverty line by household formality The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW WORKER_INF LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Workers living with less than the national poverty line by worker formality The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW WORKER_INF,SEX,WORKER_STATUS LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Workers living with less than the international poverty line by worker formality, gender and status in employment The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW WORKER_INF LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Workers covered by health insurance by worker formality The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW HOUSEHOLD_INF LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Households with at least one member benefiting from a pension by household informality The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW HOUSEHOLD_INF LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Health expenditure as share of household expenditure by household informality The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Hourly earnings ratio of formal to informal employees The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW HOUSEHOLD_INF,DEPENDENT LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Dependents by household informality and age group The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW WORKER_INF,SEX,HOURS LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Workers by formality status gender and hours worked The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true TIME_PERIOD LAYOUT_ROW AGE,SEX LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Informal workers by gender and age group The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW SEX,EDUCATION LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Informal workers by gender and level of education The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW SEX,DEG_URB LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Informal workers by gender and location The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW SEX,WORKER_STATUS LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Informal workers by gender and status in employment The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW WORKER_INF,SEX LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Workers contributing to pension by worker formality and gender The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW HOUSEHOLD_INF,SEX LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Population living with less than the international poverty line by household formality and gender The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW SEX,HOUSEHOLD_INF LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Informal workers by gender and household informality The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW URBANISATION,HOUSEHOLD_INF LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Population by urbanisation level and household informality The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW HOUSEHOLD_INF,INCOME LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Population by households informality and welfare quintile The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW WORKER_INF,FIRM_SIZE LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Workers by firm size and formality status The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true T2SEV4EYSJTJMT3HVC8I NonProductionDataflow true TIG8YUX3T8CSYX7HSAMZ TIG8YUX3T8CSYX7HSAMZ NonProductionDataflow true REF_AREA LAYOUT_ROW SIGI_FRAMEWORK,VARIABLE_CATEGORY,MEASURE,AGE,SEX,UNIT_MEASURE LAYOUT_COLUMN POP_BASE LAYOUT_FLAG CALC_METHOD,SDG_SERIES LAYOUT_NOTE OBS_STATUS=A,UNIT_MULT=0,AGE=_X,SEX=_X NOT_DISPLAYED REF_AREA:OECD.DEV.NPG:HCL_AREA(1.0).H,UNIT_MEASURE:OECD.DEV.NPG:HCL_UNIT_MEASURE(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,AGE,SEX,UNIT_MEASURE,POP_BASE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Measure combinée 11000 MAX_TABLE_DATA Gender, Institutions and Development Database (GID-DB) 2023 Base de données Égalité des genres, institutions et développement (GID-DB) 2023 The Gender Institutions and Development Database (GID-DB) provides policy makers, researchers and the public in general with key data on gender-based discrimination in social institutions. Data help analyse women's empowerment and understand gender gaps in key areas of development. <br/><br/> The GID-DB is produced on a regular basis, alongside the Social Institutions and Gender Index. Data from previous editions can be accessed for the following years: <a href= "https://data-explorer.oecd.org/vis?tenant=archive&df[ds]=DisseminateArchiveDMZ&df[id]=DF_GIDDB2019&df[ag]=OECD&dq=...&lom=LASTNPERIODS&lo=5&to[TIME_PERIOD]=false" target="_blank">2019</a>, <a href= "https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_GIDDB2014&df%5bag%5d=OECD" target="_blank">2014</a>, <a href="https://data-explorer.oecd.org/vis?tenant=archive&df[ds]=DisseminateArchiveDMZ&df[id]=DF_GIDDB2012&df[ag]=OECD&dq=...&lom=LASTNPERIODS&lo=5&to[TIME_PERIOD]=false" target="_blank">2012<a/> and <a href="https://data-explorer.oecd.org/vis?tenant=archive&df[ds]=DisseminateArchiveDMZ&df[id]=DF_GID2&df[ag]=OECD&dq=...&lom=LASTNPERIODS&lo=5&to[TIME_PERIOD]=false" target="_blank">2009<a/>. The GID-DB 2023 covers 179 countries and territories and contains comprehensive information on legal, cultural and traditional practices that discriminate against women and girls. La base de données Égalité des genres, institutions et développement (GID-DB) fournit aux décideurs politiques, aux chercheurs et au public des données et statistiques clés portant sur les discriminations de genre dans les institutions sociales. Les données permettent d’analyser les défis liés à l'autonomisation des femmes et l’égalité des genres, et de comprendre les écarts entre les femmes et les hommes dans les domaines clés du développement. <br/><br/> La GID-DB est produite régulièrement, parallèlement à Institutions sociales et égalité des genres (SIGI). Les données des éditions précédentes sont accessibles pour les années suivantes : <a href= "https://data-explorer.oecd.org/vis?tenant=archive&df[ds]=DisseminateArchiveDMZ&df[id]=DF_GIDDB2019&df[ag]=OECD&dq=...&lom=LASTNPERIODS&lo=5&to[TIME_PERIOD]=false" target="_blank">2019</a>, <a href= "https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_GIDDB2014&df%5bag%5d=OECD" target="_blank">2014</a>, <a href="https://data-explorer.oecd.org/vis?tenant=archive&df[ds]=DisseminateArchiveDMZ&df[id]=DF_GIDDB2012&df[ag]=OECD&dq=...&lom=LASTNPERIODS&lo=5&to[TIME_PERIOD]=false" target="_blank">2012<a/> et <a href="https://data-explorer.oecd.org/vis?tenant=archive&df[ds]=DisseminateArchiveDMZ&df[id]=DF_GID2&df[ag]=OECD&dq=...&lom=LASTNPERIODS&lo=5&to[TIME_PERIOD]=false" target="_blank">2009<a/>. La GID-DB 2023 couvre 179 pays et territoires et contient des informations détaillées sur les pratiques légales, culturelles et traditionnelles discriminatoires à l'égard des femmes et des filles. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA:OECD.DEV.NPG:HCL_AREA(1.0).H HIER_CONTEXT Social Institutions and Gender Index (SIGI) 2023 Indice Institutions sociales et égalité des genres (SIGI) 2023 The Social Institutions and Gender Index (SIGI) is a composite index measuring discriminatory social institutions. The SIGI is produced on a regular basis and data from previous editions can be accessed for the following years: <a href="https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_SIGI2019&df%5bag%5d=OECD" target="_blank">2019</a>, <a href="https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_SIGI2014&df%5bag%5d=OECD" target="_blank">2014</a>, 2012 and 2009. <br/><br/> The SIGI 2023 builds on 25 variables measuring discrimination in social institutions that can be accessed in the GID-DB 2023, and which are grouped into four dimensions: discrimination in the family, restricted physical integrity, restricted access to productive and financial resources, and restricted civil liberties. The SIGI 2023 seeks to provide an in-depth and global look at how laws, attitudes and practices create gaps between women and men in terms of opportunities and outcomes. <br/><br/>The SIGI and its dimensions range from 0 to 100, with 0 indicating no discrimination and 100 indicating absolute discrimination against women. <br/><br/> The SIGI 2023 covers 179 countries, but due to data gaps in one or more of the 25 variables used to compute the index, SIGI scores could only be calculated for 140 countries and territories. <br/><br/> Additionally, the SIGI framework can be used to conduct country studies in order to assess gender-based discrimination at the sub-national level. Recent SIGI country studies include <a href="https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_CIV_SIGI&df%5bag%5d=OECD" target="_blank">Côte d’Ivoire</a> and <a href="https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_TZ_SIGI&df%5bag%5d=OECD" target="_blank">Tanzania</a>. L'indice Institutions sociales et égalité des genres (SIGI selon son acronyme anglais - Social Institutions and Gender Index) est un indice composite qui mesure les discriminations de genre au sein des institutions sociales. Le SIGI est publié régulièrement et les données des éditions précédentes sont accessibles pour les années suivantes : <a href="https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_SIGI2019&df%5bag%5d=OECD" target="_blank">2019</a>, <a href="https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_SIGI2014&df%5bag%5d=OECD" target="_blank">2014</a>, 2012 et 2009. <br/><br/> Le SIGI 2023 est construit à partir de 25 variables mesurant le niveau de discrimination au sein des institutions sociales et qui peuvent être consultées dans le GID-DB 2023. Ces variables sous-jacentes du SIGI sont regroupées en quatre dimensions : discriminations au sein de la famille, atteintes à l'intégrité physique, accès restreint aux ressources productives et financières, et atteintes aux libertés civiles. Le SIGI 2023 cherche à offrir un examen approfondi de la façon dont les lois, les attitudes et les pratiques créent des écarts entre les femmes et les hommes en termes d’opportunités et d'autonomisation. <br/><br/>Les valeurs du SIGI et de ses dimensions sont comprises entre 0 et 100, 0 correspondant à l’absence de discrimination et 100 à une discrimination absolue à l’égard des femmes. <br/><br/> Le SIGI 2023 couvre 179 pays, mais en raison de lacunes dans les données relatives à une ou plusieurs des 25 variables utilisées pour calculer l'indice, les scores du SIGI n'ont pu être calculés que pour 140 pays et territoires. <br/><br/> En outre, le cadre du SIGI peut être utilisé pour mener des études pays afin d'évaluer la discrimination fondée sur le genre au niveau infranational. Parmi les études pays SIGI récentes, on peut citer <a href="https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_CIV_SIGI&df%5bag%5d=OECD" target="_blank">la Côte d’Ivoire</a> et <a href="https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_TZ_SIGI&df%5bag%5d=OECD" target="_blank">la Tanzanie</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED MEASURE=TARIFFS+FDI_INDEX+TFI+BARRIER_TRADE+BARRIER_SECT+SERVBARRIER+BARRIER_DOM+COMMANDSIMPLIF_BURDEN+ADBURDEN+ADREG_BURDEN+BARRIER_ENTRY+STAKEHOLDER_ENGAG+IMPACT_ASSESSMENT+REGULATIONS+PUBLIC_PROCUREMENT+INV_BUS_SER+INV_BUS_NET+PRICE+INVOL_BUSINESS+GOVERNANCE+DISTORT_PUBLIC+STATE_INVOL+PMR,TIME_PERIOD_START=2018,TIME_PERIOD_END=2023 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée Product market regulation Réglementation du marché des produits Competition and pro-competition regulations are vital to foster innovation, business dynamism, productivity, investment, and employment. For 25 years, the OECD Product Market Regulation (PMR) indicators have been the leading metric of pro-competitive regulatory settings. These indicators assess the alignment of a country’s regulatory framework with international best practices, measuring both economy-wide and sector-specific regulatory barriers to entry and competition. La concurrence et les réglementations favorables à la concurrence sont essentielles pour favoriser l'innovation, le dynamisme des entreprises, la productivité, les investissements et l'emploi. Depuis 25 ans, les indicateurs de l'OCDE sur la réglementation des marché de produits (PMR) constituent la mesure principale des cadres réglementaires favorables à la concurrence. Ces indicateurs évaluent la conformité du cadre réglementaire d'un pays par rapport aux meilleures pratiques internationales, en mesurant les obstacles réglementaires à l'entrée et à la concurrence, à la fois pour l'ensemble de l'économie et pour chaque secteur. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2018,TIME_PERIOD_END=2023 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée Product market regulation OECD-WBG (World Bank Group) Réglementation du marché des produits OECD-WBG Competition and pro-competition regulations are vital to foster innovation, business dynamism, productivity, investment, and employment. For 25 years, the OECD Product Market Regulation (PMR) indicators have been the leading metric of pro-competitive regulatory settings. These indicators assess the alignment of a country’s regulatory framework with international best practices, measuring both economy-wide and sector-specific regulatory barriers to entry and competition. The countries covered in the OECD-WBG PMR database have been done in collaboration with the World Bank Group La concurrence et les réglementations favorables à la concurrence sont essentielles pour favoriser l'innovation, le dynamisme des entreprises, la productivité, les investissements et l'emploi. Depuis 25 ans, les indicateurs de l'OCDE sur la réglementation des marchés de produits (PMR) constituent la mesure principale des cadres réglementaires favorables à la concurrence. Ces indicateurs évaluent la conformité du cadre réglementaire d'un pays par rapport aux meilleures pratiques internationales, en mesurant les obstacles réglementaires à l'entrée et à la concurrence, à la fois pour l'ensemble de l'économie et pour chaque secteur. Les pays figurant dans la base de données PMR de l'OCDE-WBG ont été évalués en collaboration avec le Groupe de la Banque mondiale. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE: unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Climate Policy Uncertainty Incertitude sur les politiques climatique The CPU database proposes a new indicator of Climate Policy Uncertainty (CPU) based on newspaper coverage frequency. The indicator spikes near major political events and during major discussions around potentially significant climate policy changes. Using a global firm-level dataset, the empirical analysis shows that Climate Policy Uncertainty is associated with economically and statistically significant decreases in investment, particularly in pollution-intensive sectors that are most exposed to climate policies, and among capital intensive companies.</br>More information : Berestycki, C., et al. (2022), "Measuring and assessing the effects of climate policy uncertainty", OECD Economics Department Working Papers, No. 1724, OECD Publishing, Paris. .<br/> <a href= “https://doi.org/10.1787/34483d83-en”> https://doi.org/10.1787/34483d83-en </a>.<br/> Contact : eco.contact@oecd.org La base de données CPU contient un nouvel indicateur d'incertitude sur les politiques climatiques (CPU) basé sur la couverture de ce thème dans la presse. L'indicateur couvre actuellement 12 pays membres de l'OCDE pour la période 1990-2018. Les données fournies sont annuelles et comprennent des sous-indices qui capture la direction de le CPU associée à un renforcement (CPU_POSITIVE) ou un affaiblissement (CPU_NEGATIVE) des politiques climatiques pour un sous-ensemble de pays. Plus d’information : Berestycki, C., et al. (2022), "Measuring and assessing the effects of climate policy uncertainty", OECD Economics Department Working Papers, No. 1724, OECD Publishing, Paris.<br/> <a href= “https://doi.org/10.1787/34483d83-en”> https://doi.org/10.1787/34483d83-en </a>.<br/> Contact : eco.contact@oecd.org NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE UNIT_MULT=0,METHODOLOGY=_Z,FREQ=A NOT_DISPLAYED MEASURE=GDPV_ANNPCT,FREQ=A DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Economic Outlook 116 Perspectives Economiques 116 <div> Les Perspectives économiques de l’OCDE présentent l'analyse de l'OCDE sur les principales tendances économiques mondiales et les prévisions pour les deux prochaines années. Il propose un ensemble cohérent de projections pour la production, l'emploi, les dépenses gouvernementales, les prix et les balances courantes, basées sur un examen de chaque pays membre et de l'effet induit sur chacun d'eux dans le cadre des évolutions internationales. <br />OCDE (2024), Perspectives économiques de l'OCDE No 116 (Edition 2024/2) </div> <ul> <li><a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c57547f7-2f5a-4c6a-9158-fd21d3ac28b5>Documentation de la base de données EO116</a> <li><a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ede8fa1e-7a93-46d1-a6a0-988dd8e56ecb>Derniers points historiques EO116</a> </ul> <div> Site internet des Perspectives économiques de l’OCDE: <a href=https://www.oecd.org/economic-outlook/>https://www.oecd.org/economic-outlook/</a> <br /> Contact: <a href=mailto:eco.outlook@oecd.org>eco.outlook@oecd.org</a> </div> <div> The OECD Economic Outlook presents the OECD’s analysis of the major global economic trends and prospects for the next two years. The Outlook puts forward a consistent set of projections for output, employment, government spending, prices and current balances based on a review of each member country and of the induced effect on each of them on international developments. <br />OECD (2024), OECD Economic Outlook No 116 (Edition 2024/2) </div> <ul> <li><a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c57547f7-2f5a-4c6a-9158-fd21d3ac28b5>EO116 Database documentation</a> <li><a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ede8fa1e-7a93-46d1-a6a0-988dd8e56ecb>EO116 Last historical points</a> </ul> <div> OECD Economic Outlook website: <a href=https://www.oecd.org/economic-outlook/>https://www.oecd.org/economic-outlook/</a> <br /> Contact: <a href=mailto:eco.outlook@oecd.org>eco.outlook@oecd.org</a> </div> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE UNIT_MULT=0,METHODOLOGY=_Z,FREQ=A NOT_DISPLAYED MEASURE=GDPV_ANNPCT DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Economic Outlook 114 The OECD Economic Outlook presents the OECD’s analysis of the major global economic trends and prospects for the next two years. The Outlook puts forward a consistent set of projections for output, employment, government spending, prices and current balances based on a review of each member country and of the induced effect on each of them on international developments. <br> <ul> <li><a href=http://stats.oecd.org/wbos/fileview2.aspx?IDFile=267d9f57-752d-4d5a-99ad-867ea8317b8f>EO114 Database inventory</a></li> <li><a href=http://stats.oecd.org/wbos/fileview2.aspx?IDFile=e115a59a-6455-4883-b66b-8197bcfe6ef4>EO114 Last historical points</a></li> </ul> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE UNIT_MULT=0,METHODOLOGY=_Z,FREQ=A NOT_DISPLAYED MEASURE=GDPV_ANNPCT,FREQ=A DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY COMBINED_CONCEPTS Economic Outlook 115 Perspectives Economiques 115 <div> Les Perspectives économiques de l’OCDE présentent l'analyse de l'OCDE sur les principales tendances économiques mondiales et les prévisions pour les deux prochaines années. Il propose un ensemble cohérent de projections pour la production, l'emploi, les dépenses gouvernementales, les prix et les balances courantes, basées sur un examen de chaque pays membre et de l'effet induit sur chacun d'eux dans le cadre des évolutions internationales. <br />OCDE (2024), Perspectives économiques de l'OCDE No 115 (Edition 2024/1) </div> <ul> <li><a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f6d6fbf1-62ba-43a4-adf3-13ad6291c409>Documentation de la base de données EO115</a> <li><a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=69afffa5-1321-413e-a156-8e403ae9b4e9>Derniers points historiques EO115</a> </ul> <div> Site internet des Perspectives économiques de l’OCDE: <a href=https://www.oecd.org/economic-outlook/>https://www.oecd.org/economic-outlook/</a> <br /> Contact: <a href=mailto:eco.outlook@oecd.org>eco.outlook@oecd.org</a> </div> <div> The OECD Economic Outlook presents the OECD’s analysis of the major global economic trends and prospects for the next two years. The Outlook puts forward a consistent set of projections for output, employment, government spending, prices and current balances based on a review of each member country and of the induced effect on each of them on international developments. <br />OECD (2024), OECD Economic Outlook No 115 (Edition 2024/1) </div> <ul> <li><a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f6d6fbf1-62ba-43a4-adf3-13ad6291c409>EO115 Database documentation</a> <li><a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=69afffa5-1321-413e-a156-8e403ae9b4e9>EO115 Last historical points</a> </ul> <div> OECD Economic Outlook website: <a href=https://www.oecd.org/economic-outlook/>https://www.oecd.org/economic-outlook/</a> <br /> Contact: <a href=mailto:eco.outlook@oecd.org>eco.outlook@oecd.org</a> </div> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CLIM_POL LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED CLIM_POL=EPS DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE: unit of measure COMBINED_UNIT_MEASURE:Unité de mesure OECD Environmental Policy Stringency Index Degré d'exigence des politiques environnementales The OECD Environmental Policy Stringency Index (EPS) is a country-specific and internationally comparable measure of the stringency of environmental policy ranging from zero (least stringent) to six (most stringent). The index covers the years from 1990 to 2020, across 40 countries and 13 policy instruments, focusing on climate change and air pollution mitigation policies. The structure of the EPS, its components and the index construction can be accessed in the related 2022 OECD working paper: <a href= "https://doi.org/10.1787/90ab82e8-en"> https://doi.org/10.1787/90ab82e8-en </a>. This paper updates the 2014 working paper and index: <a href= "https://doi.org/10.1787/5jxrjnc45gvg-en"> https://doi.org/10.1787/5jxrjnc45gvg-en </a>. The OECD Environmental Policy Stringency Index (EPS) is a country-specific and internationally comparable measure of the stringency of environmental policy ranging from zero (least stringent) to six (most stringent). The index covers the years from 1990 to 2020, across 40 countries and 13 policy instruments, focusing on climate change and air pollution mitigation policies. The structure of the EPS, its components and the index construction can be accessed in the related 2022 OECD working paper: <a href= "https://doi.org/10.1787/90ab82e8-en"> https://doi.org/10.1787/90ab82e8-en </a>. This paper updates the 2014 working paper and index: <a href= "https://doi.org/10.1787/5jxrjnc45gvg-en"> https://doi.org/10.1787/5jxrjnc45gvg-en </a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED MEASURE=RHP,FREQ=Q,LASTNPERIODS=20 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,ADJUSTMENT,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Analytical house prices indicators Indicateurs analytiques des prix des logements <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'>Residential Property Prices Indices (RPPIs) &ndash; also named House price indices (HPIs), are index numbers that measure the prices of residential properties over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. They can help, for example, to monitor potential macroeconomic imbalances and the risk exposure of the household and financial sectors.</p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'>This dataset covers the OECD member countries and some non-member countries. In addition to the nominal RPPIs it contains information on real house prices, rental prices, and the ratios of nominal prices to rents and to disposable household income per capita. This dataset contains quarterly and annual statistics for each country. Annual figures refer to the average of the year.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'>Les Indices de Prix des Propri&eacute;t&eacute;s R&eacute;sidentielles (RPPIs) - &eacute;galement appel&eacute;s indices de prix des Logements (HPIS), Propri&eacute;t&eacute; r&eacute;sidentielle Indices des prix (RPPIs) - sont les indices qui mesurent les prix des propri&eacute;t&eacute;s r&eacute;sidentielles au cours du temps. Les RPPIs sont des statistiques cl&eacute;s non seulement pour les citoyens et les m&eacute;nages &agrave; travers le monde, mais aussi pour les d&eacute;cideurs &eacute;conomiques et mon&eacute;taires. Ils peuvent vous aider, par exemple, pour surveiller les d&eacute;s&eacute;quilibres macro&eacute;conomiques potentiels et l&apos;exposition au risque des m&eacute;nages et du secteur financier.</p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'>Cette base de donn&eacute;es couvre les pays membres de l&apos;OCDE et certains pays non-membres. En plus des RPPIs nominaux, il contient des informations sur les prix r&eacute;els des logements, les prix de location et les ratios de prix nominaux aux loyers et aux revenus des m&eacute;nages par habitant. Cette base de donn&eacute;es contient des statistiques trimestrielles et annuelles pour chaque pays. Les donn&eacute;es annuelles se r&eacute;f&egrave;rent &agrave; des moyennes des donn&eacute;es trimestrielles.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW SUBJ_TYPE,AGE LAYOUT_COLUMN REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS UNIT_MEASURE:Unit of measure UNIT_MEASURE:Unité de mesure Instruction time in compulsory general education by age Temps d'instruction dans l'enseignement général obligatoire par âge <p>This dataset presents the number of hours of statutory instruction time in full-time compulsory education by age. It covers all ages in primary, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2023 (school year 2022/23 or 2023), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/1/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e7586-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente le nombre d'heures d'instruction statutaires dans l'enseignement obligatoire à temps plein, par âge. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire général et le deuxième cycle de l'enseignement secondaire général obligatoire, mais exclut l'enseignement préprimaire, même s'il est obligatoire. Les données se réfèrent à l'année de référence 2023 (année scolaire 2022/23 ou 2023), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/1/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e7586-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,UNIT_MEASURE LAYOUT_COLUMN REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED MEASURE=INT_TIME,UNIT_MEASURE=H,EDUCATION_LEV=ISCED11_1_2,AGE=_Z,SUBJ_TYPE=INTEND DEFAULT Student instruction time - full dataset Temps d'instruction - ensemble de données complet <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on the students' instruction time in compulsory general education.</p><p>It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2023 (school year 2022/23 or 2023), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/1/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e7586-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données a pour objectif le téléchargement au format CSV. Il contient les données brutes complètes sur le temps d'instruction des l'élèves. Il n'y a pas de filtre ni de vue par défaut pour cet ensemble de données, la navigation dans les données peut donc être lente.</p><p>Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire général et le deuxième cycle de l'enseignement secondaire général obligatoire, mais exclut l'enseignement préprimaire, même s'il est obligatoire. Les données se réfèrent à l'année de référence 2023 (année scolaire 2022/23 ou 2023), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/1/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e7586-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,UNIT_MEASURE,SUBJ_TYPE LAYOUT_COLUMN REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT SUBJ_TYPE:SUBJ_TYPE COMBINED_CONCEPTS SUBJ_TYPE:Subject SUBJ_TYPE:Matière Instruction time in compulsory general education Temps d'instruction dans l'enseignement général obligatoire <p>This dataset presents the number of hours of statutory instruction time in full-time compulsory education. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2023 (school year 2022/23 or 2023), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/1/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e7586-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente le nombre d'heures d'instruction statutaires dans l'enseignement obligatoire à temps plein. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire général et le deuxième cycle de l'enseignement secondaire général obligatoire, mais exclut l'enseignement préprimaire, même s'il est obligatoire. Les données se réfèrent à l'année de référence 2023 (année scolaire 2022/23 ou 2023), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/1/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e7586-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,UNIT_MEASURE,SUBJ_TYPE LAYOUT_COLUMN REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED REF_AREA=BEL+BFL+BFR+CAN+CA10+CA11+CA12+CA13+CA24+CA35+CA46+CA47+CA48+CA59+CA60+CA61+CA62+GBR+UKB+UKL+UKM+UKN+USA+US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT SUBJ_TYPE:SUBJ_TYPE COMBINED_CONCEPTS SUBJ_TYPE:Subject SUBJ_TYPE:Matière Instruction time in compulsory general education (subnational data) Temps d'instruction dans l'enseignement général obligatoire (données infranationales) <p>This dataset presents the number of hours of statutory instruction time in full-time compulsory education for some subnational entities. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2023 (school year 2022/23 or 2023), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/1/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e7586-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente le nombre d'heures d'instruction statutaires dans l'enseignement obligatoire à temps plein pour certaines entités infranationales. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire général et le deuxième cycle de l'enseignement secondaire général obligatoire, mais exclut l'enseignement préprimaire, même s'il est obligatoire. Les données se réfèrent à l'année de référence 2023 (année scolaire 2022/23 ou 2023), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/1/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e7586-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,MEASURE,UNIT_MEASURE LAYOUT_COLUMN REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MEASURE=GRDS,AGE,UNIT_MULT NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_UNIT_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Organisation of compulsory general education Organisation de la filière générale de l’enseignement obligatoire <p>This dataset presents how full-time compulsory education is organised, such as number of grades. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2023 (school year 2022/23 or 2023), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/1/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e7586-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente la manière dont l'enseignement obligatoire à temps plein est organisé, par exemple le nombre d’années d’études. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire général et le deuxième cycle de l'enseignement secondaire général obligatoire, mais exclut l'enseignement préprimaire, même s'il est obligatoire. Les données se réfèrent à l'année de référence 2023 (année scolaire 2022/23 ou 2023), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/1/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e7586-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,MEASURE,UNIT_MEASURE LAYOUT_COLUMN REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MEASURE=GRDS,AGE,UNIT_MULT NOT_DISPLAYED REF_AREA=BEL+BFL+BFR+CAN+CA10+CA11+CA12+CA13+CA24+CA35+CA46+CA47+CA48+CA59+CA60+CA61+CA62+GBR+UKB+UKL+UKM+UKN+USA+US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_UNIT_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Organisation of compulsory general education (subnational data) Organisation de la filière générale de l’enseignement obligatoire (données infranationales) <p>This dataset presents how full-time compulsory education is organised, such as number of grades, for some subnational entities. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2023 (school year 2022/23 or 2023), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/1/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e7586-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente la manière dont l'enseignement obligatoire à temps plein est organisé, par exemple le nombre d’années d’études, pour certaines entités infranationales. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire général et le deuxième cycle de l'enseignement secondaire général obligatoire, mais exclut l'enseignement préprimaire, même s'il est obligatoire. Les données se réfèrent à l'année de référence 2023 (année scolaire 2022/23 ou 2023), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/1/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e7586-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW SUBJ_TYPE LAYOUT_COLUMN REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED AGE=Y10,REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD DEFAULT UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS UNIT_MEASURE:Unit of measure UNIT_MEASURE:Unité de mesure Instruction time per subject by age Temps d'instruction par matière et par âge <p>This dataset presents the percentage of total compulsory instruction time spent on different subjects by age. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2023 (school year 2022/23 or 2023), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/1/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e7586-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente le pourcentage du temps total d'enseignement obligatoire consacré à différentes matières par âge. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire général et le deuxième cycle de l'enseignement secondaire général obligatoire, mais exclut l'enseignement préprimaire, même s'il est obligatoire. Les données se réfèrent à l'année de référence 2023 (année scolaire 2022/23 ou 2023), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/1/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e7586-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW SUBJ_TYPE LAYOUT_COLUMN REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS UNIT_MEASURE:Unit of measure UNIT_MEASURE:Unité de mesure Instruction time per subject by level of education Temps d'instruction par matière et par niveau d'enseignement <p>This dataset presents the percentage of total compulsory instruction time spent on different subjects by level of education. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2023 (school year 2022/23 or 2023), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/1/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e7586-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente le pourcentage du temps total d'enseignement obligatoire consacré à différentes matières par niveau d'enseignement. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire général et le deuxième cycle de l'enseignement secondaire général obligatoire, mais exclut l'enseignement préprimaire, même s'il est obligatoire. Les données se réfèrent à l'année de référence 2023 (année scolaire 2022/23 ou 2023), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/1/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e7586-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Education and earnings (EARNINGS) (full dataset) Éducation et revenus (EARNINGS) (ensemble de données complet) NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,INCOME LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,INCOME=MILE_50+MIGT_50_LE100+MIGT_100_LE150+MIGT_150_LE200+MIGT_200,TIME_PERIOD_START=2018,TIME_PERIOD_END=2022,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Earners distribution based on their level of earnings relative to the overall median, by age group, gender and educational attainment level Répartition des actifs en fonction de leur niveau de revenus par rapport à la médiane globale, par groupe d'âge, sexe et niveau d'études This dataset contains data on the distribution of workers based on their level of earnings relative to the overall median, by educational attainment level, gender and age group. The default table displays 2022 data (or the latest available year) on the distribution of 25-64 year-old workers, for a given level of the three aggregated levels of educational attainment. The selection can be changed to display data by gender and by age group. Overall median refers the median earnings from work for 25-64 year-olds with income from employment (full- and part-time workers) for all levels of educational attainment. Data refer to gross earnings except for Argentina and Türkiye. Filter the time period to visualise historical data. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_FIELD LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y25T34,WORK_TIME_ARNGMNT=FT,SEX=_T,ATTAINMENT_LEV=ISCED11A_5T8,EDUCATION_FIELD=F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2022,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Earnings differences by field of study among tertiary-educated workers, by age group, gender and level of tertiary educational attainment Différences de revenus par domaine d'études parmi les actifs diplômés de l'enseignement supérieur, par groupe d'âge, sexe et niveau de diplôme de l'enseignement supérieur This dataset contains data on the differrences in earnings from employment by field of study, age group, educational attainment level and work time arrangement. The baseline is the earnings of tertiary-educated full-time workers from all fields of study. The default table displays 2022 data (or the latest available year). The selection can be changed to display data by more detailed educational attainment level, age group, gender and by work time arrangement (e.g. full- or part-time employment). </p><p>Data on full-time workers are recommended because of better comparability. For more information, please consult <a href="https://doi.org/10.1787/3197152b-en"><i>Education at a Glance 2022</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e5233535-en"><i>Education at a Glance 2022 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T34,WORK_TIME_ARNGMNT=FT,SEX=_T,ATTAINMENT_LEV=ISCED11A_34_44+ISCED11A_35_45+ISCED11A_6,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2022,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Earnings of workers relative to the earnings of workers with below upper secondary educational attainment, by age group, gender and educational attainment level Revenus des actifs occupés par rapport aux revenus des actifs occupés ayant un niveau d'études inférieur au deuxième cycle de l'enseignement secondaire, par groupe d'âge, sexe et niveau d'études This dataset contains data on the relative earnings of workers, by age group, gender, educational attainment level and work time arrangement. The baseline is the earnings of workers with below upper secondary attainment, and it is primarily served to analyse the earnings difference by programme orientation. The default table displays 2022 data (or the latest available year) on the earnings of 25-34 year-old full-time workers with general or vocational upper secondary or post-secondary non-tertiary attainment, or bachelor's or equivalent degree as a percentage of the earnings of their peers with below upper secondary attainment. The selection can be changed to display data by gender, by level of educational attainment, by age group and by work time arrangement (e.g. full- or part-time employment). Data refer to gross earnings except for Argentina and Türkiye. Data on full-time workers are recommended because of better comparability. Filter the time period to visualise historical data. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,WORK_TIME_ARNGMNT=FT,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2022,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Earnings differences by gender, by age group and educational attainment level Différences de revenus par sexe, par groupe d'âge et par niveau d'études This dataset contains data on the gender differrences in earnings from employment, by age group, educational attainment level and work time arrangement. The baseline is men's earnings. The default table displays 2022 data (or the latest available year) on the earnings of 25-64 year-old full-time female workers as a percentage of the earnings of their male counterparts, by the three aggregated levels of educational attainment. The selection can be changed to display data by educational attainment, by age group and by work time arrangement (e.g. full- or part-time employment). </p><p>Data on full-time workers are recommended because of better comparability. For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,WORK_TIME_ARNGMNT=FT,SEX=_T,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,LABOUR_FORCE_STATUS=EMP,MIGRATION_AGE=_T,BIRTH_PLACE=FB,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2022,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Earnings differences by country of birth and age at migration, by age group, gender and educational attainment level Différences de revenus selon le pays de naissance et l'âge au moment de la migration, par groupe d'âge, sexe et niveau d'études This dataset contains data on the differrences in earnings from employment between native- and foreign-born adults, by age group, gender, educational attainment level and work time arrangement. The baseline is the earnings of native-born workers. The default table displays 2022 data (or the latest available year) on the earnings of 25-64 year-old native-born full-time workers as a percentage of the earnings of their foreign-born counterparts, by the three aggregated levels of educational attainment. The selection can be changed to display data by educational attainment level, age group, gender, age at migration and by work time arrangement (e.g. full- or part-time employment). </p><p>Data on full-time workers are recommended because of better comparability. For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,WORK_TIME_ARNGMNT=FT,SEX=_T,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_5+ISCED11A_6+ISCED11A_7_8+ISCED11A_5T8,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2022,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Earnings of workers relative to the earnings of workers with upper secondary educational attainment, by age group, gender and educational attainment level Revenus des actifs occupés par rapport aux revenus des actifs occupés ayant un niveau d'éducation secondaire supérieur, par groupe d'âge, sexe et niveau d'éducation This dataset contains data on the relative earnings of workers, by age group, gender, educational attainment level and work time arrangement. The baseline is the earnings of workers with upper secondary attainment. The default table displays 2022 data (or the latest available year) on the earnings of 25-64 year-old full-time workers with below upper secondary attainment or teritary attainment as a percentage of the earnings of their peers with upper secondary attainment. The selection can be changed to display data by gender, educational attainment level, age group and work time arrangement (e.g. full- or part-time employment). Note that the baseline is the earnings of workers with upper secondary or post-secondary non-tertiary attainment for Colombia, France, Italy, Peru and Swizterland. Data refer to gross earnings except for Argentina and Türkiye. Data on full-time workers are recommended because of better comparability. Filter the time period to visualise historical data. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,AGE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y35T44+Y45T54+Y55T64,WORK_TIME_ARNGMNT=FT,SEX=_T,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2022,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Earnings of workers relative to the earnings of 25-34 year-olds, by age group, gender and educational attainment level Revenus des actifs occupés par rapport aux revenus des 25-34 ans, par groupe d'âge, sexe et niveau d'études This dataset contains data on the relative earnings of workers, by age group, gender, educational attainment level and work time arrangement. The baseline is the earnings of 25-34 year-old workers. The default table displays 2022 data (or the latest available year) on the earnings of 35-44, 45-54 and 55-64 year-old full-time workers as a percentage of the earnings of their 25-34 year-old peers, by the three aggregated levels of educational attainment. The selection can be changed to display data by gender, by educational attainment level, by age group and by work time arrangement (e.g. full- or part-time employment). </p><p>Data on full-time workers are recommended because of better comparability. For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT National Educational Attainment Classification (NEAC) and labour market status (full dataset) Classification nationale des niveaux d'études (NEAC) et situation sur le marché du travail (ensemble de données complet) NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,DURATION_UNEMP LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,DURATION_UNEMP=M_LT3+M3T11+M_GE12,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2017,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Duration of unemployment distribution among unemployed adults, by educational attainment, age group and gender Répartition de la durée du chômage chez les adultes au chômage, par niveau d'études, groupe d'âge et sexe This dataset contains data on the duration of unemployment distribution among unemployed adults, by educational attainment, age group and gender. The default table displays 2021 data (or the latest available year) on the distribution of unemployed 25-64 year-olds by duration of unemployment. The selection can be changed to display data by more detailed educational attainment level, by by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult <a href="https://doi.org/10.1787/3197152b-en"><i>Education at a Glance 2022</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e5233535-en"><i>Education at a Glance 2022 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2020,TIME_PERIOD_END=2023,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Adults' educational attainment distribution, by age group and gender Répartition du niveau d'études des adultes, par groupe d'âge et par sexe This dataset contains data on the distribution of adults with a given age group and gender by educational attainment level. The default table displays 2023 data (or the latest available year) on the distribution of 25-64 year-olds by educational attainment. The selection can be changed to display data by programme orientation, by gender and by age group. Filter the time period to display historical data. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_FIELD LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_5T8,SEX=_T,EDUCATION_FIELD=F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Field of study distribution of tertiary-educated adults, by level of tertiary educational attainment, age group and gender Répartition des domaines d'études des adultes diplômés de l'enseignement supérieur, par niveau d'études, groupe d'âge et sexe This dataset contains data on the distribution of tertiary-educated adults with a given age group and gender by field of study. The default table displays 2021 data (or the latest available year) on the distribution of tertiary-educated 25-64 year-olds by field of study. The selection can be changed to display data by more detailed educational attainment level, by gender and by age group. Filter the time period to display historical data. </p><p>For more information, please consult <a href="https://doi.org/10.1787/3197152b-en"><i>Education at a Glance 2022</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e5233535-en"><i>Education at a Glance 2022 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW COMBINED_MIGR_STATUS,ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2020,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1 DEFAULT COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE COMBINED_CONCEPTS COMBINED_MIGR_STATUS:Migration status COMBINED_MIGR_STATUS:Statut migratoire ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Adults' educational attainment distribution, by country of birth, age group and gender Répartition du niveau d'études des adultes, par pays de naissance, groupe d'âge et sexe This dataset contains data on the distribution of native- and foreign-born adults with a given age group and gender by educational attainment level. The default table displays 2023 data (or the latest available year) on the distribution of native- and foreign-born 25-64 year-olds by educational attainment. The selection can be changed to display data by age at migration, by gender and by age group. Filter the time period to display historical data. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,SEX LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=F+M,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Adults' gender distribution, by educational attainment level and age group Répartition des adultes par sexe, par niveau de formation et par groupe d'âge This dataset contains data on the gender distribution of adults with a given age group and educational attainment level. The default table displays 2023 data (or the latest available year) on the gender distribution of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by educational attainment, by programme orientation and by age group. Filter the time period to visualise historical data.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,COMBINED_MIGR_STATUS LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE COMBINED_CONCEPTS COMBINED_MIGR_STATUS:Migration status COMBINED_MIGR_STATUS:Statut migratoire ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Adults' migration status distribution, by educational attainment level, age group and gender Répartition du statut migratoire des adultes, par niveau d'éducation, par groupe d'âge et par sexe This dataset contains data on the distribution of adults with a given age group, gender, educational attainment level and migration status. The default table displays 2023 data (or the latest available year) on the share of native- and foreign-born 25-64 year-olds with a given level of educational attainment. The selection can be changed to display data by age at migration, by gender and by age group. Filter the time period to display historical data. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2020,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Employment rates of adults, by educational attainment, age group and gender Taux d'emploi des adultes, par niveau d'études, groupe d'âge et sexe This dataset contains data on employment rates by educational attainment level, age group and gender. The default table displays 2023 data (or the latest available year) on the employment rates of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_FIELD LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_5T8,EDUCATION_FIELD=F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2017,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Employment rates of tertiary-educated adults, by field of study, tertiary educational attainment, age group and gender Taux d'emploi des adultes diplômés de l'enseignement supérieur, par domaine d'études, par niveau d'études, par groupe d'âge et par sexe This dataset contains data on employment rates of tertiary-educated adults by educational attainment level, field of study, age group and gender. The default table displays 2021 data (or the latest available year) on the employment rates of all tertiary-educated 25-64 year-olds. The selection can be changed to display data by more detailed educational attainment level, by filed of study, by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult <a href="https://doi.org/10.1787/3197152b-en"><i>Education at a Glance 2022</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e5233535-en"><i>Education at a Glance 2022 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,COMBINED_MIGR_STATUS LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE COMBINED_CONCEPTS COMBINED_MIGR_STATUS:Migration status COMBINED_MIGR_STATUS:Statut migratoire ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Employment rates of adults, by educational attainment, age group, gender, country of birth and age at migration Taux d'emploi des adultes, par niveau d'études, groupe d'âge, sexe, pays de naissance et âge au moment de la migration This dataset contains data on employment rates by educational attainment level, migration status, age group and gender. The default table displays 2023 data (or the latest available year) on the employment rates of native- and foreign-born 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by age at migration, by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2020,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Inactivity rates of adults, by educational attainment, age group and gender Taux d'inactivité des adultes, par niveau d'études, groupe d'âge et sexe This dataset contains data on inactivity rates by educational attainment level, age group and gender. The default table displays 2023 data (or the latest available year) on the inactivity rates of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by gender and by age group. Filter the time period to display historical data. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_FIELD LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_5T8,EDUCATION_FIELD=F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2017,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Inactivity rates of tertiary-educated adults, by field of study, tertiary educational attainment, age group and gender Taux d'inactivité des adultes diplômés de l'enseignement supérieur, par domaine d'études, par niveau d'études, par groupe d'âge et par sexe This dataset contains data on inactivity rates of tertiary-educated adults by educational attainment level, field of study, age group and gender. The default table displays 2021 data (or the latest available year) on the inactivity rates of all tertiary-educated 25-64 year-olds. The selection can be changed to display data by more detailed educational attainment level, by filed of study, by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult <a href="https://doi.org/10.1787/3197152b-en"><i>Education at a Glance 2022</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e5233535-en"><i>Education at a Glance 2022 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,COMBINED_MIGR_STATUS LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE COMBINED_CONCEPTS COMBINED_MIGR_STATUS:Migration status COMBINED_MIGR_STATUS:Statut migratoire ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Inactivity rates of adults, by educational attainment, age group, gender, country of birth and age at migration Taux d'inactivité des adultes, par niveau d'études, groupe d'âge, sexe, pays de naissance et âge au moment de la migration This dataset contains data on inactivity rates by educational attainment level, migration status, age group and gender. The default table displays 2023 data (or the latest available year) on the inactivity rates of native- and foreign-born 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by age at migration, by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2020,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Labour force participation rates of adults, by educational attainment, age group and gender Taux d'activité des adultes, par niveau d'études, groupe d'âge et sexe This dataset contains data on labour force participation rates by educational attainment level, age group and gender. The default table displays 2023 data (or the latest available year) on the labour force participation rates of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2020,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Unemployment rates of adults, by educational attainment, age group and gender Taux de chômage des adultes, par niveau d'études, groupe d'âge et sexe This dataset contains data on unemployment rates by educational attainment level, age group and gender. The default table displays 2023 data (or the latest available year) on the unemployment rates of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2020,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Share of unemployed adults among all adults, by educational attainment level, age group and gender Part des adultes au chômage parmi l'ensemble des adultes, par niveau de formation, groupe d'âge et sexe This dataset contains data on the share of unemployed adults by educational attainment level, age group and gender. The default table displays 2023 data (or the latest available year) on the share of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment who are unemployed among all 25-64 year-olds. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by gender and by age group. Filter the time period to visualise historical data.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_FIELD LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_5T8,EDUCATION_FIELD=F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2023,TIME_PERIOD_START=2017,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Unemployment rates of tertiary-educated adults, by field of study, tertiary educational attainment, age group and gender Taux de chômage des adultes diplômés de l'enseignement supérieur, par domaine d'études, par niveau d'études, par groupe d'âge et par sexe This dataset contains data on unemployment rates of tertiary-educated adults by educational attainment level, field of study, age group and gender. The default table displays 2021 data (or the latest available year) on the unemployment rates of all tertiary-educated 25-64 year-olds. The selection can be changed to display data by more detailed educational attainment level, by filed of study, by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult <a href="https://doi.org/10.1787/3197152b-en"><i>Education at a Glance 2022</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e5233535-en"><i>Education at a Glance 2022 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,COMBINED_MIGR_STATUS LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE COMBINED_CONCEPTS COMBINED_MIGR_STATUS:Migration status COMBINED_MIGR_STATUS:Statut migratoire ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Unemployment rates of adults, by educational attainment, age group, gender, country of birth and age at migration Taux de chômage des adultes, par niveau d'études, groupe d'âge, sexe, pays de naissance et âge au moment de la migration This dataset contains data on unemployment rates by educational attainment level, migration status, age group and gender. The default table displays 2023 data (or the latest available year) on the unemployment rates of native- and foreign-born 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by age at migration, by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDU_STATUS,LABOUR_FORCE_STATUS LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y18T24,ATTAINMENT_LEV=_T,SEX=_T,EDU_STATUS=ED+ED_WS+ED_E_O+NED,LABOUR_FORCE_STATUS=EMP+NE,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2020,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+PER+ROU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Distribution of young adults' education and work status, for a given level of educational attainment, age group and gender Répartition de l'éducation et de la situation professionnelle des jeunes adultes, pour un niveau d'éducation donné, par groupe d'âge et par sexe This dataset contains data on the distribution of young adults by education and work status. The default table displays 2023 data (or the latest available year) on the distribution of 18-24 year-olds in education/not in education, by their work status (e.g. employed or not employed). Young adults who are neither employed nor in formal education and training are also called NEET. The selection can be changed to display data by educational attainment, by detailed education and work status and by age group. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Youth's transition from education to work (TRANS) (full dataset) Transition des jeunes de l'éducation au travail (TRANS) (ensemble de données complet) NonProductionDataflow true REF_AREA LAYOUT_ROW BIRTH_PLACE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y15T29,ATTAINMENT_LEV=_T,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,EDU_STATUS=NED,LABOUR_FORCE_STATUS=NE,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2023,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+ISR+ITA+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+PER+ROU+ZAF DEFAULT COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE COMBINED_CONCEPTS COMBINED_MIGR_STATUS:Migration status COMBINED_MIGR_STATUS:Statut migratoire ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Share of young adults who are not employment nor in formal education or training (NEET), by country of birth and age at migration Part des jeunes adultes qui n'ont pas d'emploi et ne suivent pas d'enseignement ou de formation formels (NEET), par pays de naissance et âge au moment de la migration This dataset contains data on the distribution of young adults who are native- and foreign-born, by education and work status. The default table displays 2023 data (or the latest available year) on share of native- and foreign-born 15-29 year-olds, who are neither employed nor in formal education and training (e.g. NEET). The selection can be changed to display data by educational attainment, by education and work status, by age group and by age at migration. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true AGE,SEX LAYOUT_ROW PERS_TYPE,EDUCATION_LEV LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION REF_PERIOD=2023,OBS_STATUS=A,UNIT_MULT,STATISTICAL_OPERATION=OBS NOT_DISPLAYED REF_AREA=OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT 0.999999990 SEARCH_WEIGHT Actual salaries of teachers and school heads - full dataset Salaires effectifs des enseignants et des chefs d'établissement - ensemble de données complet <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on the actual salaries of teachers and school heads.</p><p>It covers teachers and school heads working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. The default selection shows all available measures of the OECD average.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données est téléchargeable au format CSV. Il contient les données brutes complètes sur les salaires réels des enseignants et des chefs d'établissement.</p><p>Il couvre les enseignants et les chefs d'établissement travaillant à temps plein dans des établissements publics, travaillant dans l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycles). La sélection par défaut affiche toutes les mesures disponibles de la moyenne de l'OCDE.</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW PERS_TYPE,EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD=2022,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED UNIT_MEASURE=USD_PPP,AGE=Y25T64,SEX=_T,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT Actual salary of teachers and school heads - full dataset Salaire effectif des enseignants et des chefs d'établissement - ensemble de données complet <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on the actual salaries of teachers and school heads.</p><p>It covers teachers and school heads working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données a pour objectif le téléchargement au format CSV. Il contient les données brutes complètes sur les salaires effectif des enseignants et des chefs d'établissements. Il n'y a pas de filtre ni de vue par défaut pour cet ensemble de données, la navigation dans les données peut donc être lente.</p><p>Il couvre les enseignants et les chefs d'établissements travaillant à plein temps dans des établissements publics, travaillant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z NOT_DISPLAYED UNIT_MEASURE=USD_PPP,AGE=Y25T64,SEX=_T,REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY;COMBINED_AGE_SEX:AGE,SEX COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_AGE_SEX:Age group and sex COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_AGE_SEX:Groupe d'âge et sexe School heads' actual salary Salaire effectif des chefs d’établissement <p>This dataset presents data on actual salaries of school heads (including additional work-related payments). It covers school heads aged 25-64, working full time in public institutions, and working in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente les salaires effectifs des chefs d'établissement (y compris les paiements supplémentaires liés au travail). Il couvre les chefs d'établissement âgés de 25 à 64 ans, travaillant à plein temps dans des établissements publics et travaillant dans l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z NOT_DISPLAYED UNIT_MEASURE=USD_PPP,AGE=Y25T64,SEX=_T,REF_AREA=BEL+BFL+BFR+GBR+UKB+UKL+UKM+UKN+USA+US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY;COMBINED_AGE_SEX:AGE,SEX COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_AGE_SEX:Age group and sex COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_AGE_SEX:Groupe d'âge et sexe School heads' actual salary (subnational data) Salaire effectif des chefs d’établissement (données infranationales) <p>This dataset presents data on actual salaries of school heads (including additional work-related payments) for some subnational entities. It covers school heads aged 25-64, working full time in public institutions, and working in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente les salaires effectifs des chefs d'établissement (y compris les paiements supplémentaires liés au travail) pour certaines entités infranationales. Il couvre les chefs d'établissement âgés de 25 à 64 ans, travaillant à plein temps dans des établissements publics et travaillant dans l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED AGE=Y25T64,SEX=_T,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_AGE_SEX:AGE,SEX;COMBINED_REF_PERIOD:REF_PERIOD,BASE_PER COMBINED_CONCEPTS COMBINED_AGE_SEX:Age group and sex;COMBINED_REF_PERIOD:Reference years of salaries data and of wages of tertiary workers COMBINED_AGE_SEX:Groupe d'âge et sexe;COMBINED_REF_PERIOD:Années de référence utilisées pour les salaires des enseignants et les rémunérations d'actifs occupés diplômés de l’enseignement tertiaire School heads' actual salary relative to earnings of tertiary-educated workers Salaire effectif des chefs d’établissement relatif à la rémunération des actifs occupés diplômés de l’enseignement tertiaire <p>This dataset compares actual salaries of school heads (including additional work-related payments) with earnings of tertiary-educated workers. It covers school heads aged 25-64, working full time in public institutions, and working in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données compare les salaires effectifs des chefs d'établissement (y compris les paiements supplémentaires liés au travail) relatif à la rémunération des actifs occupés diplômés de l’enseignement tertiaire. Il couvre les chefs d'établissement âgés de 25 à 64 ans, travaillant à plein temps dans des établissements publics et travaillant dans l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z NOT_DISPLAYED UNIT_MEASURE=USD_PPP,AGE=Y25T64,SEX=_T,REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY;COMBINED_AGE_SEX:AGE,SEX COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_AGE_SEX:Age group and sex COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_AGE_SEX:Groupe d'âge et sexe Teachers' actual salary Salaire effectif des enseignants <p>This dataset presents data on actual salaries of teachers (including additional work-related payments). It covers teachers aged 25-64, working full time in public institutions, and teaching in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente des les salaires effectifs des enseignants (y compris les paiements supplémentaires liés au travail). Il couvre les enseignants âgés de 25 à 64 ans, travaillant à temps plein dans des établissements publics et enseignant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z NOT_DISPLAYED UNIT_MEASURE=USD_PPP,AGE=Y25T64,SEX=_T,REF_AREA=BEL+BFL+BFR+GBR+UKB+UKL+UKM+UKN+USA+US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY;COMBINED_AGE_SEX:AGE,SEX COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_AGE_SEX:Age group and sex COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_AGE_SEX:Groupe d'âge et sexe Teachers' actual salary (subnational data) Salaire effectif des enseignants (données infranationales) <p>This dataset presents data on actual salaries of teachers (including additional work-related payments) for some subnational entities. It covers teachers aged 25-64, working full time in public institutions, and teaching in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente les salaires effectifs des enseignants (y compris les paiements supplémentaires liés au travail) pour certaines entités infranationales. Il couvre les enseignants âgés de 25 à 64 ans, travaillant à temps plein dans des établissements publics et enseignant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED AGE=Y25T64,SEX=_T,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_AGE_SEX:AGE,SEX;COMBINED_REF_PERIOD:REF_PERIOD,BASE_PER COMBINED_CONCEPTS COMBINED_AGE_SEX:Age group and sex;COMBINED_REF_PERIOD:Reference years of salaries data and of wages of tertiary workers COMBINED_AGE_SEX:Groupe d'âge et sexe;COMBINED_REF_PERIOD:Années de référence utilisées pour les salaires des enseignants et les rémunérations d'actifs occupés diplômés de l’enseignement tertiaire Teachers' actual salary relative to earnings of tertiary-educated workers Salaire effectif des enseignants relatif à la rémunération des actifs occupés diplômés de l’enseignement tertiaire <p>This dataset compares actual salaries of teachers (including additional work-related payments) with earnings of tertiary-educated workers. It covers teachers aged 25-64, working full time in public institutions, and teaching in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données compare les salaires effectifs des enseignants (y compris les paiements supplémentaires liés au travail) relatif à la rémunération des actifs occupés diplômés de l’enseignement tertiaire. Il couvre les enseignants âgés de 25 à 64 ans, travaillant à temps plein dans des établissements publics et enseignant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN COMBINED_AGE_SEX LAYOUT_ROW_SECTION REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z,MEASURE NOT_DISPLAYED UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY;COMBINED_AGE_SEX:AGE,SEX COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_AGE_SEX:Age group and sex COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_AGE_SEX:Groupe d'âge et sexe EXT_RESOURCE Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires effectifs des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP School heads' actual salaries Salaires effectifs des chefs d’établissement <p>This dataset contains data on actual salaries of school heads (including additional work-related payments). It covers full-time school heads in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data in equivalent USD for school heads aged 25-64. The selection can be changed to display data by age group, by gender (for teachers aged 25-64 only), and by currency unit (equivalent USD or national currency)</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données contient des données sur les salaires réels des chefs d'établissement (y compris les paiements supplémentaires liés au travail). Il couvre les chefs d'établissement à temps plein dans les établissements publics de l'enseignement préscolaire, primaire et secondaire général (premier et deuxième cycles).</p><p>Le tableau par défaut affiche les données en équivalent USD pour les chefs d'établissement âgés de 25 à 64 ans. La sélection peut être modifiée pour afficher les données par groupe d'âge, par sexe (pour les enseignants âgés de 25 à 64 ans uniquement) et par unité monétaire (équivalent USD ou monnaie nationale).</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i> (en anglais)</a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA,COMBINED_CURRENCY LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN COMBINED_AGE_SEX LAYOUT_ROW_SECTION REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z,MEASURE NOT_DISPLAYED UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T DEFAULT COMBINED_CURRENCY:CURRENCY,PRICE_BASE;COMBINED_AGE_SEX:AGE,SEX COMBINED_CONCEPTS COMBINED_CURRENCY:Currency and price base;COMBINED_AGE_SEX:Age group and sex COMBINED_CURRENCY:Devise et base de prix;COMBINED_AGE_SEX:Groupe d'âge et sexe 0.999999997 SEARCH_WEIGHT EXT_RESOURCE Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires effectifs des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP School heads' actual salaries - Subnational entities Salaires effectifs des chefs d’établissement - Entités infranationales <p>This dataset contains data on actual salaries of school heads (including additional work-related payments) in subnational entities of some countries. It covers full-time school heads in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data in equivalent USD for school heads aged 25-64. The selection can be changed to display data in national currency.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données contient des données sur les salaires réels des chefs d'établissement (y compris les paiements supplémentaires liés au travail) dans les entités infranationales de certains pays. Il couvre les chefs d'établissement à temps plein dans les établissements publics de l'enseignement préscolaire, primaire et secondaire général (premier et deuxième cycles).</p><p>Le tableau par défaut affiche les données en équivalent USD pour les chefs d'établissement âgés de 25 à 64 ans. La sélection peut être modifiée pour afficher les données en monnaie nationale.</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW COMBINED_MEASURE,EDUCATION_LEV LAYOUT_COLUMN COMBINED_AGE_SEX LAYOUT_ROW_SECTION REF_PERIOD,BASE_PER LAYOUT_NOTE REF_PERIOD=2023,BASE_PER=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE;COMBINED_AGE_SEX:AGE,SEX;BASE_PER:BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_AGE_SEX:Age group and sex;BASE_PER:Reference year of earnings data COMBINED_MEASURE:Mesure combinée;COMBINED_AGE_SEX:Groupe d'âge et sexe;BASE_PER:Année de référence utilisée pour les rémunérations d'actifs occupés 0.999999999 SEARCH_WEIGHT EXT_RESOURCE Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires effectifs des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP School heads' actual salaries relative to workers' earnings Salaires effectifs des chefs d’établissement relatif à la rémunération des actifs occupés <p>This dataset compares actual salaries of school heads (including additional work-related payments) with earnings of tertiary-educated workers. It covers full-time school heads in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data for school heads aged 25-64. The default table displays data on actual salaries relative to earnings of tertiary-educated workers. The selection can be changed to display data by age group or by gender (for teachers aged 25-64 only).</p><p>The selection can also be changed to display data on actual salaries of teachers relative to earnings of similarly-educated workers.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données compare les salaires réels des chefs d'établissement (y compris les paiements supplémentaires liés au travail) avec les revenus des travailleurs diplômés de l'enseignement supérieur. Il couvre les chefs d'établissement à temps plein dans les établissements publics de l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycles).</p><p>Le tableau par défaut affiche les données des chefs d'établissement âgés de 25 à 64 ans. Le tableau par défaut affiche les données sur les salaires réels par rapport aux revenus des travailleurs diplômés de l'enseignement supérieur. La sélection peut être modifiée pour afficher les données par groupe d'âge ou par sexe (pour les enseignants âgés de 25 à 64 ans uniquement).</p><p>La sélection peut également être modifiée pour afficher les données sur les salaires réels des enseignants par rapport aux revenus des travailleurs ayant suivi un enseignement similaire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>. NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN COMBINED_AGE_SEX LAYOUT_ROW_SECTION REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,UNIT_MULT,CURRENCY=_Z,MEASURE NOT_DISPLAYED UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T DEFAULT COMBINED_CURRENCY:CURRENCY,PRICE_BASE;COMBINED_AGE_SEX:AGE,SEX COMBINED_CONCEPTS COMBINED_CURRENCY:Currency and price base;COMBINED_AGE_SEX:Age group and sex COMBINED_CURRENCY:Devise et base de prix;COMBINED_AGE_SEX:Groupe d'âge et sexe EXT_RESOURCE Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires effectifs des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' actual salaries Salaires effectifs des enseignants <p>This dataset contains data on actual salaries of teachers (including additional work-related payments). It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data in equivalent USD for teachers aged 25-64. The selection can be changed to display data by age group, by gender (for teachers aged 25-64 only), and by currency unit (equivalent USD or national currency).</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>.</p><p>For historical data, see <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_EAG_SAL_TREND%40DF_TCH_ACT&df[ag]=OECD.EDU.IMEP&lc=en"><b>Trends in teachers’ actual salaries since 2000</b></a>.</p> <p>Cet ensemble de données contient des données sur les salaires réels des enseignants (y compris les paiements supplémentaires liés au travail). Il couvre les enseignants à temps plein dans les établissements publics de l'enseignement préscolaire, primaire et secondaire général (premier et deuxième cycles).</p><p>Le tableau par défaut affiche les données en équivalent USD pour les enseignants âgés de 25 à 64 ans. La sélection peut être modifiée pour afficher les données par groupe d'âge, par sexe (pour les enseignants âgés de 25 à 64 ans uniquement) et par unité monétaire (équivalent USD ou monnaie nationale).</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>.</p><p>Pour les données historiques, voir <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_EAG_SAL_TREND%40DF_TCH_ACT&df[ag]=OECD.EDU.IMEP&lc=fr"><b>Évolution des salaires effectifs des enseignants depuis 2000</b></a>.</p> NonProductionDataflow true REF_AREA,COMBINED_CURRENCY LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN COMBINED_AGE_SEX LAYOUT_ROW_SECTION REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z,MEASURE NOT_DISPLAYED UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T DEFAULT COMBINED_CURRENCY:CURRENCY,PRICE_BASE;COMBINED_AGE_SEX:AGE,SEX COMBINED_CONCEPTS COMBINED_CURRENCY:Currency and price base;COMBINED_AGE_SEX:Age group and sex COMBINED_CURRENCY:Devise et base de prix;COMBINED_AGE_SEX:Groupe d'âge et sexe 0.999999997 SEARCH_WEIGHT EXT_RESOURCE Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires effectifs des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' actual salaries - Subnational entities Salaires effectifs des enseignants - Entités infranationales <p>This dataset contains data on actual salaries of teachers (including additional work-related payments) in subnational entities of some countries. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data in equivalent USD for teachers aged 25-64. The selection can be changed to display data by age group, by gender (for teachers aged 25-64 only), and by currency unit (equivalent USD or national currency)</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données contient des données sur les salaires réels des enseignants (y compris les paiements supplémentaires liés au travail) dans les entités infranationales de certains pays. Il couvre les enseignants à temps plein dans les établissements publics de l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycles).</p><p>Le tableau par défaut affiche les données en équivalent USD pour les enseignants âgés de 25 à 64 ans. La sélection peut être modifiée pour afficher les données par groupe d'âge, par sexe (pour les enseignants âgés de 25 à 64 ans uniquement) et par unité monétaire (équivalent USD ou monnaie nationale).</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW COMBINED_MEASURE,EDUCATION_LEV LAYOUT_COLUMN COMBINED_AGE_SEX LAYOUT_ROW_SECTION REF_PERIOD,BASE_PER LAYOUT_NOTE REF_PERIOD=2023,BASE_PER=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE;COMBINED_AGE_SEX:AGE,SEX;BASE_PER:BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_AGE_SEX:Age group and sex;BASE_PER:Reference year of earnings data COMBINED_MEASURE:Mesure combinée;COMBINED_AGE_SEX:Groupe d'âge et sexe;BASE_PER:Année de référence utilisée pour les rémunérations d'actifs occupés 0.999999999 SEARCH_WEIGHT EXT_RESOURCE Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires effectifs des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' actual salaries relative to workers' earnings Salaires effectifs des enseignants relatif à la rémunération des actifs occupés <p>This dataset compares actual salaries of teachers (including additional work-related payments) with earnings of workers. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education. The default table displays data for teachers aged 25-64.</p><p>The default table displays data on actual salaries of teachers relative to earnings of tertiary-educated workers. The selection can be changed to display data by age group or by gender (for teachers aged 25-64 only).</p><p>The selection can also be changed to display data on actual salaries of teachers relative to earnings of similarly-educated workers.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données compare les salaires réels des enseignants (y compris les paiements supplémentaires liés au travail) avec les revenus des travailleurs. Il couvre les enseignants à temps plein dans les établissements publics de l'enseignement préscolaire, primaire et secondaire général (premier et deuxième cycles). Le tableau par défaut affiche les données pour les enseignants âgés de 25 à 64 ans.</p><p>Le tableau par défaut affiche les données sur les salaires réels des enseignants par rapport aux revenus des travailleurs diplômés de l'enseignement supérieur. La sélection peut être modifiée pour afficher les données par groupe d'âge ou par sexe (pour les enseignants âgés de 25 à 64 ans uniquement).</p><p>La sélection peut également être modifiée pour afficher les données sur les salaires réels des enseignants par rapport aux revenus des travailleurs ayant suivi un enseignement similaire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true PERS_QUAL_LEV,PERS_EXP_LEV LAYOUT_ROW PERS_TYPE,EDUCATION_LEV LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION REF_PERIOD=2023,OBS_STATUS=A,UNIT_MULT,STATISTICAL_OPERATION=OBS NOT_DISPLAYED REF_AREA=OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT 0.999999990 SEARCH_WEIGHT Statutory salaries of teachers and school heads - full dataset Salaires statutaires des enseignants et des chefs d'établissement - ensemble de données complet <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on the statutory salaries of teachers and school heads.</p><p>It covers teachers and school heads working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. The default selection shows all available measures of the OECD average.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données est téléchargeable au format CSV. Il contient les données brutes complètes sur les salaires statutaires des enseignants et des chefs d'établissement.</p><p>Il couvre les enseignants et les chefs d'établissement travaillant à temps plein dans des établissements publics, travaillant dans l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycles). La sélection par défaut affiche toutes les mesures disponibles de la moyenne de l'OCDE.</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,PERS_EXP_LEV LAYOUT_COLUMN REF_PERIOD=2022,OBS_STATUS=A,UNIT_MULT NOT_DISPLAYED PERS_QUAL_LEV=TYP_EXP,UNIT_MEASURE=USD_PPP,MEASURE=SAL_STA,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT Statutory salary of teachers and school heads - full dataset Salaire statutaire des enseignants et des chefs d'établissement - ensemble de données complet <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on the statutory salaries of teachers and school heads.</p><p>It covers teachers and school heads working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données a pour objectif le téléchargement au format CSV. Il contient les données brutes complètes sur les salaires statutaires des enseignants et des chefs d'établissements. Il n'y a pas de filtre ni de vue par défaut pour cet ensemble de données, la navigation dans les données peut donc être lente.</p><p>Il couvre les enseignants et les chefs d'établissements travaillant à plein temps dans des établissements publics, travaillant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,MEASURE,STATISTICAL_OPERATION LAYOUT_COLUMN REF_PERIOD=2022,OBS_STATUS=A,PERS_TYPE,UNIT_MULT,CURRENCY=_Z,PRICE_BASE NOT_DISPLAYED UNIT_MEASURE=USD_PPP+FCTR_SAL_EXP0,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE;COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION COMBINED_CONCEPTS COMBINED_CURRENCY_PRICE:Currency and price base;COMBINED_MEASURE:Combined measure COMBINED_CURRENCY_PRICE:Devise et base de prix;COMBINED_MEASURE:Mesure combinée School heads' statutory salary Salaire statutaire des chefs d’établissement <p>This dataset presents data on statutory salaries of school heads. It covers school heads working full time in public institutions, in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente les salaires statutaires des chefs d'établissement. Il couvre les chefs d'établissement travaillant à temps plein dans des établissements publics, travaillant dans l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,MEASURE,STATISTICAL_OPERATION LAYOUT_COLUMN OBS_STATUS=A,PERS_TYPE,PERS_QUAL_LEV,PRICE_BASE,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_REF_PERIOD:REF_PERIOD,BASE_PER;COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION COMBINED_CONCEPTS COMBINED_REF_PERIOD:Reference years used for salaries of school heads and earnings of tertiary-educated workers;COMBINED_MEASURE:Combined measure COMBINED_REF_PERIOD:Années de référence utilisées pour les salaires des chefs d'établissement et les rémunérations d'actifs occupés diplômés de l’enseignement tertiaire;COMBINED_MEASURE:Mesure combinée School heads' statutory salary relative to earnings of tertiary-educated workers Salaire statutaire des chefs d'établissement relatif à la rémunération des actifs occupés diplômés de l’enseignement tertiaire <p>This dataset compares statutory salaries of school heads with earnings of tertiary-educated workers. It covers teachers working full time in public institutions, teaching pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données compare les salaires statutaires des chefs d'établissement relatif à la rémunération des actifs occupés diplômés de l’enseignement tertiaire. Il couvre les chefs d'établissements travaillant à plein temps dans des établissements publics, travaillant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,PERS_EXP_LEV LAYOUT_COLUMN REF_PERIOD=2022,OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,UNIT_MULT,CURRENCY=_Z NOT_DISPLAYED PERS_QUAL_LEV=TYP_EXP,UNIT_MEASURE=USD_PPP,REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_CURRENCY_PRICE:Currency and price base COMBINED_CURRENCY_PRICE:Devise et base de prix Teachers' statutory salary Salaire statutaire des enseignants <p>This dataset presents data on statutory salaries of teachers at different points of their careers. It covers teachers working full time in public institutions, teaching pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente les salaires statutaires des enseignants à différents stades de leur carrière. Il couvre les enseignants travaillant à plein temps dans des établissements publics, enseignant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,STATISTICAL_OPERATION,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD=2022,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,PERS_EXP_LEV=(EXP15+EXPMAX),PRICE_BASE,UNIT_MULT,CURRENCY=_Z NOT_DISPLAYED PERS_QUAL_LEV=TYP_EXP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION;UNIT_MEASURE:UNIT_MEASURE;EDUCATION_LEV:EDUCATION_LEV COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;EDUCATION_LEV:Education level COMBINED_MEASURE:Mesure combinée;UNIT_MEASURE:Unit of measure;EDUCATION_LEV:Niveau de l'enseignement Comparison of teachers' statutory salary Comparaison des salaires statutaires des enseignants <p>This dataset presents comparative indicators on statutory salaries of teachers. It covers teachers working full time in public institutions, teaching pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente des indicateurs comparatifs sur les salaires statutaires des enseignants. Il couvre les enseignants travaillant à plein temps dans des établissements publics, enseignant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,PERS_EXP_LEV LAYOUT_COLUMN REF_PERIOD=2022,OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,UNIT_MULT,CURRENCY=_Z NOT_DISPLAYED PERS_QUAL_LEV=TYP_EXP,UNIT_MEASURE=USD_PPP,REF_AREA=BEL+BFL+BFR+CAN+CA10+CA11+CA12+CA13+CA24+CA35+CA46+CA47+CA48+CA59+CA60+CA61+CA62+GBR+UKB+UKL+UKM+UKN+USA+US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_CURRENCY_PRICE:Currency and price base COMBINED_CURRENCY_PRICE:Devise et base de prix Teachers' statutory salary (subnational data) Salaire statutaire des enseignants (données infranationales) <p>This dataset presents data on statutory salaries of teachers at different points of their careers for some subnational entities. It covers teachers working full time in public institutions, teaching pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente les salaires statutaires des enseignants à différents stades de leur carrière pour certaines régions infranationales. entités. Il couvre les enseignants travaillant à plein temps dans des établissements publics, enseignant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,PRICE_BASE,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_REF_PERIOD:REF_PERIOD,BASE_PER COMBINED_CONCEPTS COMBINED_REF_PERIOD:Reference years used for salaries of teachers and earnings of tertiary-educated workers COMBINED_REF_PERIOD:Années de référence utilisées pour les salaires des enseignants et les rémunérations d'actifs occupés diplômés de l’enseignement tertiaire Teachers' statutory salary relative to earnings of tertiary-educated workers Salaire statutaire des enseignants relatif à la rémunération des actifs occupés diplômés de l’enseignement tertiaire <p>This dataset compares statutory salaries of teachers with earnings of tertiary-educated workers. It covers teachers working full time in public institutions, teaching pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données compare les salaires statutaires des enseignants relatif à la rémunération des actifs occupés diplômés de l’enseignement tertiaire. Il couvre les enseignants travaillant à plein temps dans des établissements publics, enseignant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA,COMBINED_CURRENCY_PRICE LAYOUT_ROW EDUCATION_LEV,MEASURE,COMBINED_UNIT_MEASURE LAYOUT_COLUMN REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,OBS_STATUS=A,PERS_TYPE,UNIT_MULT,CURRENCY=_Z NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,UNIT_MEASURE=USD_PPP+FCTR_SAL_MIN DEFAULT COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,STATISTICAL_OPERATION COMBINED_CONCEPTS COMBINED_CURRENCY_PRICE:Currency and price base;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_CURRENCY_PRICE:Devise et base de prix;COMBINED_UNIT_MEASURE:Unité de mesure combinée UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(2.0).H HIER_CONTEXT EXT_RESOURCE Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires statutaires des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP School heads' statutory salaries Salaires statutaires des chefs d’établissement <p>This dataset contains data on statutory salaries of school heads. It covers full-time school heads with the minimum qualification, working in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data in equivalent USD. The selection can be changed by currency unit (equivalent USD or national currency).</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données contient des données sur les salaires statutaires des chefs d'établissement. Il couvre les chefs d'établissement à temps plein ayant la qualification minimale, travaillant dans des établissements publics de l'enseignement préprimaire, primaire et secondaire général (inférieur et supérieur).</p><p>Le tableau par défaut affiche les données en équivalent USD. La sélection peut être modifiée par unité monétaire (équivalent USD ou monnaie nationale).</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>. NonProductionDataflow true REF_AREA,BASE_PER LAYOUT_ROW COMBINED_MEASURE,EDUCATION_LEV,STATISTICAL_OPERATION LAYOUT_COLUMN REF_PERIOD,BASE_PER LAYOUT_NOTE REF_PERIOD=2023,BASE_PER=2022,OBS_STATUS=A,PERS_TYPE,CURRENCY,PRICE_BASE,UNIT_MULT,PERS_QUAL_LEV,PERS_EXP_LEV NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée 0.999999998 SEARCH_WEIGHT EXT_RESOURCE Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires statutaires des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP School heads' statutory salaries relative to workers' earnings Salaires statutaires des chefs d'établissement relatif à la rémunération des actifs occupés <p>This dataset compares statutory salaries of school heads with earnings of tertiary-educated workers. It covers full-time school heads with the minimum qualification, working in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The table displays data on statutory salaries of school heads relative to earnings of tertiary-educated workers.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données compare les salaires statutaires des chefs d'établissement avec les revenus des travailleurs diplômés de l'enseignement supérieur. Il couvre les chefs d'établissement à temps plein ayant la qualification minimale, travaillant dans des établissements publics de l'enseignement préprimaire, primaire et secondaire général (inférieur et supérieur).</p><p>Le tableau présente des données sur les salaires statutaires des chefs d'établissement par rapport aux revenus des travailleurs diplômés de l'enseignement supérieur.</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. NonProductionDataflow true REF_AREA,COMBINED_CURRENCY_PRICE LAYOUT_ROW EDUCATION_LEV,PERS_EXP_LEV LAYOUT_COLUMN REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,UNIT_MULT,CURRENCY=_Z,MEASURE NOT_DISPLAYED UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,PERS_QUAL_LEV=TYP_EXP DEFAULT COMBINED_CURRENCY:CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_CURRENCY:Currency and price base COMBINED_CURRENCY:Devise et base de prix EXT_RESOURCE Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires statutaires des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' statutory salaries Salaires statutaires des enseignants <p>This dataset contains data on statutory salaries of teachers at different points of their careers (starting salary, salaries after 10 and 15 years of experience, and salary at the top of the salary scale). It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data in equivalent USD for teachers with the most prevalent qualification at each stage of career (in the reference year). The selection can be changed to display data by qualification level of teachers (minimum, most prevalent or maximum) and by currency unit (equivalent USD or national currency).</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>.</p><p>For historical data, see <a href="https://data-explorer.oecd.org/vis?fs[0]=Topic%2C1%7CEducation%20and%20skills%23EDU%23%7CTeachers%23EDU_TEA%23&pg=20&fc=Topic&bp=true&snb=26&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_EAG_SAL_TREND%40DF_TCH_STA&df[ag]=OECD.EDU.IMEP&lc=en"><b>Trends in teachers’ statutory salaries since 2000</b></a>.</p> <p>Cet ensemble de données contient des données sur les salaires statutaires des enseignants à différents moments de leur carrière (salaire de départ, salaires après 10 et 15 ans d'expérience et salaire au sommet de l'échelle salariale). Il couvre les enseignants à temps plein des établissements publics de l'enseignement préscolaire, primaire et secondaire général (inférieur et supérieur).</p><p>Le tableau par défaut affiche les données en équivalent USD pour les enseignants ayant la qualification la plus répandue à chaque stade de carrière (dans l'année de référence). La sélection peut être modifiée pour afficher les données par niveau de qualification des enseignants (minimum, le plus répandu ou maximum) et par unité monétaire (équivalent USD ou monnaie nationale).</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays sont disponibles dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>.</p><p>Pour les données historiques, voir <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=26&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_EAG_SAL_TREND%40DF_TCH_STA&df[ag]=OECD.EDU.IMEP&lc=fr"><b>Évolution des salaires statutaires des enseignants depuis 2000</b>.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,COMBINED_UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,OBS_STATUS=A,UNIT_MEASURE,STATISTICAL_OPERATION=OBS,UNIT_MULT,CURRENCY,PRICE_BASE,PERS_TYPE,PERS_EXP_LEV NOT_DISPLAYED PERS_QUAL_LEV=TYP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,STATISTICAL_OPERATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 0.999999997 SEARCH_WEIGHT EXT_RESOURCE Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires statutaires des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Change in teachers' statutory salaries over the career Évolution du salaire statutaire des enseignants au cours de la carrière <p>This dataset contains indicators to change in statutory salaries of teachers over the career. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data the ratio of salary at the top of scale to salary at the start of the career and on the years to reach salary at the top of scale with the most prevalent qualification to enter the profession. The selection can be changed to display data by qualification level of teachers (minimum qualification to enter the profession or the most prevalent to enter the profession).</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données contient des indicateurs sur l'évolution des salaires statutaires des enseignants au cours de la carrière. Il couvre les enseignants à temps plein dans les établissements publics de l'enseignement préprimaire, primaire et secondaire général (inférieur et supérieur).</p><p>Le tableau par défaut affiche les données sur le ratio du salaire au sommet de l'échelle au salaire en début de carrière et sur les années nécessaires pour atteindre le salaire au sommet de l'échelle avec la qualification la plus répandue pour accéder à la profession. La sélection peut être modifiée pour afficher les données par niveau de qualification des enseignants (qualification minimale pour accéder à la profession ou la plus répandue pour accéder à la profession).</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,UNIT_MULT,CURRENCY=_Z,PRICE_BASE,MEASURE NOT_DISPLAYED PERS_QUAL_LEV=TYP_EXP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT 0.999999997 SEARCH_WEIGHT EXT_RESOURCE Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires statutaires des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Comparative indicators on teachers' statutory salaries Indicateurs comparatifs sur les salaires statutaires des enseignants <p>This dataset contains comparative indicators on statutory salaries of teachers. It covers full-time teachers with the most prevalent qualification after 15 years of experience, in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data in equivalent USD on statutory salary per hour of net teaching time for teachers and the ratio of this indicator between primary and upper secondary general education.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données contient des indicateurs comparatifs sur les salaires statutaires des enseignants. Il couvre les enseignants à temps plein ayant la qualification la plus répandue après 15 ans d'expérience, dans les établissements publics de l'enseignement préprimaire, primaire et secondaire général (inférieur et supérieur).</p><p>Le tableau par défaut affiche des données en équivalent USD sur le salaire statutaire par heure de temps d'enseignement net des enseignants et le ratio de cet indicateur entre l'enseignement primaire et secondaire général supérieur.</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>. NonProductionDataflow true REF_AREA,COMBINED_CURRENCY LAYOUT_ROW EDUCATION_LEV,PERS_EXP_LEV LAYOUT_COLUMN REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z,MEASURE NOT_DISPLAYED UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,PERS_QUAL_LEV=TYP_EXP DEFAULT COMBINED_CURRENCY:CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_CURRENCY:Currency and price base COMBINED_CURRENCY:Devise et base de prix 0.999999997 SEARCH_WEIGHT EXT_RESOURCE Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires statutaires des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' statutory salaries - Subnational entities Salaires statutaires des enseignants - Entités infranationales <p>This dataset contains data on statutory salaries of teachers with the most prevalent qualification at different points of their careers in subnational entities of some countries. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data in equivalent USD for teachers at each stage of career. The selection can be changed by currency unit (equivalent USD or national currency).</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données contient des données sur les salaires statutaires des enseignants ayant la qualification la plus répandue à différents moments de leur carrière dans les entités infranationales de certains pays. Il couvre les enseignants à temps plein dans les établissements publics de l'enseignement préprimaire, primaire et secondaire général (inférieur et supérieur).</p><p>Le tableau par défaut affiche les données en équivalent USD pour les enseignants à chaque stade de carrière. La sélection peut être modifiée par unité monétaire (équivalent USD ou monnaie nationale).</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW COMBINED_MEASURE,EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD,BASE_PER LAYOUT_NOTE REF_PERIOD=2023,BASE_PER=2022,OBS_STATUS=A,PERS_TYPE,CURRENCY,PRICE_BASE,UNIT_MULT,STATISTICAL_OPERATION NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,PERS_QUAL_LEV=TYP_EXP,PERS_EXP_LEV=EXP15 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE;EDUCATION_LEV:EDUCATION_LEV;BASE_PER:BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;EDUCATION_LEV:Education level;BASE_PER:Reference year of earnings data COMBINED_MEASURE:Mesure combinée;EDUCATION_LEV:Niveau de l'enseignement;BASE_PER:Année de référence utilisée pour les rémunérations d'actifs occupés 0.999999998 SEARCH_WEIGHT EXT_RESOURCE Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires statutaires des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' statutory salaries relative to workers' earnings Salaires statutaires des enseignants relatif à la rémunération des actifs occupés <p>This dataset compares statutory salaries of teachers with earnings of workers. It covers full-time teachers, in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data on statutory salaries of teachers (with the most prevalent qualification after 15 years of experience) relative to earnings of tertiary-educated workers. The selection can be changed to display data by qualification level of teachers (the most prevalent qualification <b>to enter the profession</b> or the most prevalent qualification <b>after 15 years of experience</b>), by experience level (only for the most prevalent qualification to enter the profession) and by comparison group (tertiary-educated workers or similarly educated workers).</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données compare les salaires statutaires des enseignants avec les revenus des travailleurs. Il couvre les enseignants à temps plein, dans les établissements publics de l'enseignement préprimaire, primaire et secondaire général (inférieur et supérieur).</p><p>Le tableau par défaut affiche les données sur les salaires statutaires des enseignants (avec la qualification la plus répandue après 15 ans d'expérience) par rapport aux revenus des travailleurs diplômés de l'enseignement supérieur. La sélection peut être modifiée pour afficher les données par niveau de qualification des enseignants (la qualification la plus répandue <b>pour accéder à la profession</b> ou la qualification la plus répandue <b>après 15 ans d'expérience</b>), par niveau d'expérience (uniquement pour la qualification la plus répandue pour accéder à la profession) et par groupe de comparaison (travailleurs diplômés de l'enseignement supérieur ou travailleurs ayant suivi une formation similaire).</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>. NonProductionDataflow true REF_AREA,EDUCATION_LEV LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,PERS_TYPE NOT_DISPLAYED REF_AREA=OECD+OECD_REP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT 0.999999990 SEARCH_WEIGHT Trends in teachers' salaries - full dataset Évolution des salaires des enseignants - ensemble de données complet <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on salaries of teachers since 2000. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education. The default selection shows all available measures of the OECD averages.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a> <p>Cet ensemble de données est téléchargeable au format CSV. Il contient les données brutes complètes sur les salaires des enseignants depuis 2000. Il couvre les enseignants à temps plein dans les établissements publics de l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycles). La sélection par défaut affiche toutes les mesures disponibles des moyennes de l'OCDE.</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,PERS_TYPE NOT_DISPLAYED EDUCATION_LEV=ISCED11_1,UNIT_MEASURE=IX DEFAULT COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_CURRENCY_PRICE:Currency and price base COMBINED_CURRENCY_PRICE:Devise et base de prix Trends in teachers’ actual salary since 2000 Évolution des salaire effectif des enseignants depuis 2000 <p>This dataset presents a trend of actual salaries of teachers (including additional work-related payments) since 2000. It covers teachers aged 25-64, working full time in public institutions, and teaching in pre-primary, primary and (lower and upper) secondary general education.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente une tendance des salaires effectifs des enseignants (y compris les paiements supplémentaires liés au travail) depuis 2000. Il couvre les enseignants âgés de 25 à 64 ans, travaillant à temps plein dans des établissements publics et enseignant dans l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle).</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book #"><i>Regard sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED PERS_QUAL_LEV=TYP_EXP,EDUCATION_LEV=ISCED11_1,UNIT_MEASURE=IX DEFAULT Trends in teachers' salary - full dataset Évolution des salaire des enseignants - ensemble de données complet <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on the trend data for salaries of teachers.</p><p>It covers teachers working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. Data is available from the reference year 2000.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données a pour objectif le téléchargement au format CSV. Il contient les données brutes complètes sur les évolutions des salaires des enseignants. Il n'y a pas de filtre ni de vue par défaut pour cet ensemble de données, la navigation dans les données peut donc être lente.</p><p>Il couvre les enseignants travaillant à plein temps dans des établissements publics, travaillant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données sont disponible depuis l'année de référence 2000.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,PERS_TYPE NOT_DISPLAYED PERS_QUAL_LEV=TYP_EXP,EDUCATION_LEV=ISCED11_1,UNIT_MEASURE=IX DEFAULT COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_CURRENCY_PRICE:Currency and price base COMBINED_CURRENCY_PRICE:Devise et base de prix Trends in teachers’ statutory salary since 2000 Évolution des salaire statutaire des enseignants depuis 2000 <p>This dataset presents a trend of statutory salaries of teachers since 2000. It covers teachers working full time in public institutions, teaching in pre-primary, primary and (lower and upper) secondary general education.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente une tendance des salaires statutaires des enseignants depuis 2000. Il couvre les enseignants travaillant à plein temps dans des établissements publics, enseignant dans l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle).</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary. org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i ></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA,COMBINED_CURRENCY_PRICE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,PERS_TYPE,MEASURE,PERS_QUAL_LEV,PERS_EXP_LEV NOT_DISPLAYED EDUCATION_LEV=ISCED11_1,UNIT_MEASURE=IX DEFAULT COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_CURRENCY_PRICE:Currency and price base COMBINED_CURRENCY_PRICE:Devise et base de prix Trends in teachers’ actual salaries since 2000 Évolution des salaires effectifs des enseignants depuis 2000 <p>This dataset contains a trend of actual salaries of teachers (including additional work-related payments) since 2000. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays index of change in actual salaries of teachers in primary education aged 25-64. The selection can be changed to display data by education level, and data in national currency.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a> <p>Cet ensemble de données présente l'évolution des salaires réels des enseignants (y compris les paiements supplémentaires liés au travail) depuis 2000. Il couvre les enseignants à temps plein des établissements publics de l'enseignement préscolaire, primaire et secondaire général (premier et deuxième cycles).</p><p>Le tableau par défaut affiche l'indice de variation des salaires réels des enseignants de l'enseignement primaire âgés de 25 à 64 ans. La sélection peut être modifiée pour afficher les données par niveau d'éducation et les données en monnaie nationale.</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a> NonProductionDataflow true REF_AREA,COMBINED_CURRENCY_PRICE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,PERS_TYPE,PERS_EXP_LEV,MEASURE,CURRENCY=_Z,PRICE_BASE=_Z NOT_DISPLAYED EDUCATION_LEV=ISCED11_1,UNIT_MEASURE=IX,PERS_QUAL_LEV=TYP_EXP DEFAULT COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_CURRENCY_PRICE:Currency and price base COMBINED_CURRENCY_PRICE:Devise et base de prix Trends in teachers’ statutory salaries since 2000 Évolution des salaires statutaires des enseignants depuis 2000 <p>This dataset contains a trend of statutory salaries of teachers since 2000. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays index of change in statutory salaries of teachers in primary education after 15 years of experience with the most prevalent qualification at this stage of the career. The selection can be changed to display data by education level and by qualification level, and data in national currency.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a> <p>Cet ensemble de données présente l'évolution des salaires statutaires des enseignants depuis 2000. Il couvre les enseignants à temps plein des établissements publics de l'enseignement préscolaire, primaire et secondaire général (premier et deuxième cycles).</p><p>Le tableau par défaut affiche l'indice de variation des salaires statutaires des enseignants de l'enseignement primaire après 15 ans d'expérience avec la qualification la plus répandue à ce stade de la carrière. La sélection peut être modifiée pour afficher les données par niveau d'éducation et par niveau de qualification, ainsi que les données en monnaie nationale.</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,EDUCATION_LEV LAYOUT_COLUMN LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,UNIT_MULT=0,Q_SHEET_ROW_ID NOT_DISPLAYED EDUCATION_LEV=ISCED11_1T8+ISCED11_1T4+ISCED11_5T8,EXP_SOURCE=S13,PRICE_BASE=_Z,TIME_PERIOD_START=2015,TIME_PERIOD_END=2022 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H HIER_CONTEXT 1.00013 SEARCH_WEIGHT Share of total government expenditure on education Part des dépenses publiques totales consacrées à l’éducation This dataset contains data on the share of total government expenditure devoted to education. The default table displays the total government expenditure on education as a share of the total government expenditure on all services by level of education. Please note that the filters are inter related, meaning that selection in one category may impact the possibility to select options in another category.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la part des dépenses publiques totales consacrées à l'éducation. Le tableau par défaut affiche les dépenses publiques totales pour l'éducation en proportion des dépenses publiques totales pour tous les services par niveau d'éducation. Veuillez noter que les filtres sont interdépendants, ce qui signifie que la sélection dans une catégorie peut avoir un impact sur la possibilité de sélectionner des options dans une autre catégorie.</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,UNIT_MULT=0,Q_SHEET_ROW_ID NOT_DISPLAYED EDUCATION_LEV=ISCED11_1T8+ISCED11_1T4+ISCED11_5T8,MEASURE=EXP,EXP_SOURCE=S13,EXP_DESTINATION=INST_EDU,EXPENDITURE_TYPE=DIR_EXP,PRICE_BASE=V,Q_SHEET=SOURCE,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,UNIT_MEASURE=XDC DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H HIER_CONTEXT 1.00010 SEARCH_WEIGHT Full dataset - Indicators, source, destination and nature of expenditure on education Ensemble de données complet - Indicateurs, source, destination et nature des dépenses d'éducation The purpose of this dataset is for download in CSV format. A default selection shows government expenditure on educational institutions simply to accelerate the display and loading of the data.</p><p> The dataset contains all indicators as well as the full raw data on the source, destination and nature of expenditure on education in local currency and in USD PPP, in constant and current prices. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données a pour objectif le téléchargement au format CSV. Une sélection par défaut affiche les dépenses publiques consacrées aux établissements d'enseignement simplement pour accélérer l'affichage et le chargement des données. </p><p> L'ensemble de données contient tous les indicateurs ainsi que les données brutes complètes sur la source, la destination et la nature des dépenses d'éducation en monnaie locale et en USD PPA, en prix constants et courants. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true 1.00009 SEARCH_WEIGHT Allocation of expenditure (from all sources) - full dataset Nature des dépenses (toutes sources confondues) - ensemble de données complet The purpose of this dataset is for download in CSV format. It contains the full raw data on the allocation of expenditure in local currency and in USD PPP, in constant and current prices. There is no filter nor default view for this dataset, browsing the data may therefore be slow.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/4/index.html?itemId=%20/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book"><i>Education at a Glance 2023</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://www.oecd-ilibrary.org/sites/301fa18e-en/index.html?itemId=/content/component/301fa18e-en"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données a pour objectif le téléchargement au format CSV. Il contient les données brutes complètes sur la répartition des dépenses en monnaie locale et en dollars des É-U PPA convertis, en prix constants et courants. Il n'y a pas de filtre ni de vue par défaut pour cet ensemble de données, la navigation dans les données peut donc être lente.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/education/regards-sur-education/"><i>Regards sur l'éducation 2023</i></a>. De plus amples détails sur la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays sont disponibles sur <a href="https://www.oecd-ilibrary.org/sites/301fa18e-en/index.html?itemId=/content/component/301fa18e-en"><i>Regards sur l'éducation 2023 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA,EDUCATION_LEV LAYOUT_ROW TIME_PERIOD,EXPENDITURE_TYPE LAYOUT_COLUMN LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,UNIT_MULT=0,Q_SHEET_ROW_ID NOT_DISPLAYED EDUCATION_LEV=ISCED11_1T8,UNIT_MEASURE=USD_PPP,PRICE_BASE=Q,INST_TYPE_EDU=_T,EXPENDITURE_TYPE=CUR+CAP,EXP_DESTINATION=INST_EDU,TIME_PERIOD_START=2015,TIME_PERIOD_END=2022 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H HIER_CONTEXT 1.00012 SEARCH_WEIGHT Capital and total current expenditure on education (from all sources) Dépenses en capital et dépenses courantes totales d'éducation (toutes sources confondues) This dataset contains data on capital and current expenditure on education. The default table displays data in 2015 constant USD PPP, for the combined primary to tertiary levels of education, and for both public and private educational institutions combined. This can be changed to display data by: level of education, type of educational institution, local currency/USD PPP, and current/constant prices. Please note that the filters are inter related, meaning that selection in one category may impact the possibility to select options in another category.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur les dépenses en capital et courantes en matière d'éducation. Le tableau par défaut affiche les données en dollars des É-U PPA convertis constants de 2015, pour les niveaux d'enseignement primaire à tertiaire combinés et pour les établissements d'enseignement publics et privés combinés. Cela peut être modifié pour afficher les données par : niveau d'éducation, type d'établissement d'enseignement, devise locale/dollars des É-U PPA convertis et prix courants/constants. Veuillez noter que les filtres sont interdépendants, ce qui signifie que la sélection dans une catégorie peut avoir un impact sur la possibilité de sélectionner des options dans une autre catégorie.</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA,EDUCATION_LEV LAYOUT_ROW TIME_PERIOD,EXPENDITURE_TYPE LAYOUT_COLUMN LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,UNIT_MULT=0,Q_SHEET_ROW_ID,Q_SHEET NOT_DISPLAYED EDUCATION_LEV=ISCED11_1T8,UNIT_MEASURE=USD_PPP,PRICE_BASE=Q,EXPENDITURE_TYPE=CUR_LC+CUR_RET+CUR_NLC,EXP_DESTINATION=INST_EDU_PUB+INST_EDU_PRIV_GOV,TIME_PERIOD_START=2015,TIME_PERIOD_END=2022 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H HIER_CONTEXT 1.00011 SEARCH_WEIGHT Expenditure on staff compensation in educational institutions (from all sources) Dépenses de rémunération du personnel en éducation (toutes sources confondues) This dataset contains data on staff compensation in educational institutions. The default table displays information on expenditure for salaries, pensions and other non-salary benefits in 2015 constant USD PPP, for the combined primary to tertiary levels of education, for public and government dependent private institutions. This can be changed to display data by: level of education, type of institution, type of expenditure, local currency/USD PPP, and current/constant prices. Please note that the filters are inter related, meaning that selection in one category may impact the possibility to select options in another category.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la rémunération du personnel dans les établissements d'enseignement. Le tableau par défaut affiche des informations sur les dépenses en salaires, pensions et autres avantages non salariaux en dollars des É-U PPA convertis constants de 2015, pour les niveaux combinés d'enseignement primaire et supérieur, pour les établissements publics et privés dépendant du gouvernement. Cela peut être modifié pour afficher les données par : niveau d'éducation, type d'établissement, type de dépense, monnaie locale/USD PPA et prix courants/constants. Veuillez noter que les filtres sont interdépendants, ce qui signifie que la sélection dans une catégorie peut avoir un impact sur la possibilité de sélectionner des options dans une autre catégorie.</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true 1.00010 SEARCH_WEIGHT Source and destination of expenditure - full dataset Source et destination des dépenses - ensemble de données complet The purpose of this dataset is for download in CSV format. It contains the full raw data on the source and destination of expenditure in local currency and in USD PPP, in constant and current prices. There is no filter nor default view for this dataset, browsing the data may therefore be slow.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/4/index.html?itemId=%20/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book"><i>Education at a Glance 2023</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://www.oecd-ilibrary.org/sites/301fa18e-en/index.html?itemId=/content/component/301fa18e-en"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données a pour objectif le téléchargement au format CSV. Il contient les données brutes complètes sur la source et la destination des dépenses en monnaie locale et en dollars des É-U PPA convertis, en prix constants et courants. Il n'y a pas de filtre ni de vue par défaut pour cet ensemble de données, la navigation dans les données peut donc être lente.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/education/regards-sur-education/"><i>Regards sur l'éducation 2023</i></a>. De plus amples détails sur la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays sont disponibles sur <a href="https://www.oecd-ilibrary.org/sites/301fa18e-en/index.html?itemId=/content/component/301fa18e-en"><i>Regards sur l'éducation 2023 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,EXP_SOURCE LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,UNIT_MULT=0,Q_SHEET_ROW_ID,Q_SHEET=(_Z+SOURCE+NATURE) NOT_DISPLAYED EDUCATION_LEV=ISCED11_1T8,EXP_SOURCE=_T+S13+S1D_NON_EDU+S2,EXP_DESTINATION=INST_EDU,PRICE_BASE=Q+_Z,BASE_PER=2015,UNIT_MEASURE=USD_PPP+PT_EXP+PT_B1GQ,TIME_PERIOD_START=2015,TIME_PERIOD_END=2022 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H HIER_CONTEXT 1.00014 SEARCH_WEIGHT Distribution of government, private and non-domestic expenditure on educational institutions Répartition des dépenses gouvernementales, privées et internationales consacrées aux établissements d'enseignement This dataset contains data on government, private and expenditure on educational institutions. Government expenditure can be brokendown by central, regional (state) and local levels of government. Private sector can also be brokendown by households and other non-educational private sector. Expenditure are reported after transfers between entities, transfers can be from higher to lower levels of government, from the government to the private sector, or from non-domestic source to the government. The default table displays expenditure for the general government, the private sector and non-domestic sources in 2015 constant USD PPP (top section), in percentage of GDP (middle section), and in percentage (distribution by sector, in the bottom section), for the combined primary to tertiary levels of education, and for all public and private educational institutions. This can be changed to display data by: level of education, type of educational institution, level of financing source, local currency/USD PPP, and current/constant prices. Please note that the filters are inter related, meaning that selection in one category may impact the possibility to select options in another category. </p><p> Please note that non-domestic expenditure is labelled "Rest of the world".</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur les dépenses publiques, privées et internationales consacrées aux établissements d'enseignement. Les dépenses publiques peuvent être ventilées par niveaux de gouvernement central, régional et local. Le secteur privé peut également être ventilé entre les ménages et les autres secteurs privés non éducatifs. Les dépenses sont déclarées après transferts entre entités, les transferts peuvent provenir des niveaux supérieurs de gouvernement vers les niveaux inférieurs de gouvernement, du gouvernment vers le secteur privé, ou d'une source internationale vers le gouvernement. Le tableau par défaut affiche les dépenses gouvernementales, du secteur privé et des sources internationales en dollars des É-U PPA constants de 2015 (section supérieure), en pourcentage du PIB (section centrale), et en pourcentage (répartition par secteur, dans la section inférieure), pour les niveaux d'enseignement primaire à tertiaire combinés, et pour les établissements d’enseignement publics et privés combinés. Cela peut être modifié pour afficher les données par : niveau d'éducation, type d'établissement d'enseignement, source de financement plus détaillée, devise locale/dollars des É-U PPA convertis et prix courants/constants. Veuillez noter que les filtres sont interdépendants, ce qui signifie que la sélection dans une catégorie peut avoir un impact sur la possibilité de sélectionner des options dans une autre catégorie </p><p> Veuillez noter que les dépenses internationales sont identifiées comme « Reste du monde ».</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,EXP_SOURCE LAYOUT_COLUMN LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED EDUCATION_LEV=ISCED11_1T8,EXP_SOURCE=_T+S13+S1D_NON_EDU+S2,EXP_DESTINATION=INST_EDU,TIME_PERIOD_START=2015,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H HIER_CONTEXT 1.00011 SEARCH_WEIGHT Expenditure on educational institutions as a percentage of GDP Dépenses d'éducation en pourcentage du PIB This dataset contains data on expenditure on educational institutions as a percentage of GDP. The default table displays expenditure for the general government, the private sector and non-domestic sources, for the combined primary to tertiary levels of education, and for all public and private educational institutions. This can be changed to display data by: level of education, and type of educational institution.</p><p> Please note that non-domestic expenditure is labelled "Rest of the world".</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/4/index.html?itemId=%20/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book"><i>Education at a Glance 2023</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://www.oecd-ilibrary.org/sites/301fa18e-en/index.html?itemId=/content/component/301fa18e-en"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur les dépenses consacrées aux établissements d'enseignement en pourcentage du PIB. Le tableau par défaut affiche les dépenses pour les administrations publiques, le secteur privé et les sources internationales, pour les niveaux d'enseignement primaire à tertiaire combinés et pour tous les établissements d'enseignement publics et privés combinés. Cela peut être modifié pour afficher les données par : niveau d'éducation et type d'établissement d'enseignement.</p><p> Veuillez noter que les dépenses de source internationale sont identifiées comme « Reste du monde ».</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/education/regards-sur-education/"><i>Regards sur l'éducation 2023</i></a>. De plus amples détails sur la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays sont disponibles sur <a href="https://www.oecd-ilibrary.org/sites/301fa18e-en/index.html?itemId=/content/component/301fa18e-en"><i>Regards sur l'éducation 2023 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,EDUCATION_LEV LAYOUT_COLUMN COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,UNIT_MULT=0,Q_SHEET_ROW_ID NOT_DISPLAYED EDUCATION_LEV=ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_5T8+ISCED11_6T8+ISCED11_1T8,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,EXP_SOURCE=_T,EXP_DESTINATION=INST_EDU,EXPENDITURE_TYPE=DIR_EXP,PRICE_BASE=V+_Z,UNIT_MEASURE=USD_PPP_ST+PT_B1GQ_POP DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H HIER_CONTEXT 1.00015 SEARCH_WEIGHT Expenditure on educational institutions per full-time equivalent student Dépenses unitaires d'éducation en équivalents temps plein This dataset contains data on expenditure per full-time equivalent student and per full-time equivalent student as a percentage of GPD per capita. The default table displays data for 2021 in current USD PPP and as a percentage of GDP per capita, from all expenditure sources, and unfiltered by type of expenditure. The selection can be changed to display data: by year, by source of expenditure, by destination of expenditure and by type of expenditure. Please note that the filters are inter related, meaning that selection in one category may impact the possibility to select options in another category. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur les dépenses par étudiant équivalent temps plein et par étudiant équivalent temps plein en pourcentage du PIB par habitant. Le tableau par défaut affiche les données pour 2021 en dollars des É-U PPA convertis courants et en pourcentage du PIB par habitant, provenant de toutes les sources de dépenses, et non filtrées par type de dépenses. La sélection peut être modifiée pour afficher les données : par année, par source de dépenses, par destination de dépenses et par type de dépenses. Veuillez noter que les filtres sont interdépendants, ce qui signifie que la sélection dans une catégorie peut avoir un impact sur la possibilité de sélectionner des options dans une autre catégorie. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Reference statistics for education finance indicators Statistiques de référence pour les indicateurs de dépenses d'éducation This dataset contains reference statistics that are used in the calculation of education expenditure data. This dataset includes information on Gross domestic product (GDP), GDP per capita, GDP adjusted to the education finance data, on Purchasing Power Parities for GDP, on GDP deflator, on population, and on government expenditure on all services. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des statistiques de référence qui sont utilisées dans le calcul des données sur les dépenses d'éducation. Cet ensemble de données comprend des informations sur le produit intérieur brut (PIB), le PIB par habitant, le PIB ajusté aux données de financement de l'éducation, sur les parités de pouvoir d'achat pour le PIB, sur le PIB. déflateur, sur la population et sur les dépenses publiques pour tous les services. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,INTENSITY LAYOUT_COLUMN INST_TYPE_EDU LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,UNIT_MULT=0,Q_SHEET_ROW_ID NOT_DISPLAYED EDUCATION_LEV=ISCED11_1T8 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Enrolment data adjusted to the financial year Nombre d'élèves inscrits ajusté à l'exercice financier This dataset contains data on enrolment data adjusted to the financial year. This information is only used to calculate the expenditure per student and is provided as a reference statistics. It should NOT be used as the official enrolment figures. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur le nombre d'élèves inscrits ajustés à l'exercice financier. Ces informations sont utilisées uniquement pour calculer les dépenses par élève et sont fournies à titre de statistiques de référence. Elles ne doivent PAS être utilisées comme chiffres officiels du nombre d'élèves inscrits. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true AGE LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8,AGE=Y_LT30+Y30T49+Y_GE50 DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H HIER_CONTEXT Share of teachers by age range Répartition d’enseignants par groupe d’âge This dataset contains data on the share of classroom teachers (ISCED 0-4) and academic staff (ISCED 5-8) by age range. The default table displays 2022 data for a subset of education levels. The selection can be changed to display data: by year, other levels of education and sex. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la part des enseignants (CITE 0-4) et du personnel académique (CITE 5-8) par groupe d'âge. Le tableau par défaut affiche les données de 2022 pour un sous-ensemble de niveaux d'enseignement. La sélection peut être modifiée pour afficher les données : par année, autres niveaux d'enseignement et sexe. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW INST_TYPE_EDU LAYOUT_COLUMN EDUCATION_LEV LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T DEFAULT Average class size Taille moyenne des classes This dataset contains data on the average class size by type of institution. The default table displays 2022 data. The selection can be changed to display data by year. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la taille moyenne des classes par type d'établissement. Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données par année. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true AGE LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8,AGE=_T+Y_LT25+Y25T29+Y30T34+Y35T39+Y40T44+Y45T49+Y50T54+Y55T59+Y60T64+Y_GE65+_U DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H HIER_CONTEXT Number of classroom teachers and academic staff by age Nombre d'enseignants et du personnel académique par âge This dataset contains data on the number of classroom teachers (ISCED 0-4) and academic staff (ISCED 5-8) by age. The default table displays 2022 data for a subset of education levels. The selection can be changed to display data: by year, other levels of education and sex. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur le nombre d'enseignants (CITE 0-4) et de personnel académique (CITE 5-8) par âge. Le tableau par défaut affiche les données de 2022 pour un sous-ensemble de niveaux d'enseignement. La sélection peut être modifiée pour afficher les données : par année, autres niveaux d'enseignement et sexe. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW INST_TYPE_EDU LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8,INTENSITY=_T DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H HIER_CONTEXT Number of classroom teachers and academic staffs by type of institution Nombre d'enseignants et du personnel académique selon le type d’établissement This dataset contains data on the number of classroom teachers (ISCED 0-4) and academic staff (ISCED 5-8) by type of institution. The default table displays 2022 data for a subset of education levels. The selection can be changed to display data: by year, other levels of education, intensity and sex. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur le nombre d'enseignants (CITE 0-4) et de personnel académique (CITE 5-8) par type d'établissement. Le tableau par défaut affiche les données de 2022 pour un sous-ensemble de niveaux d'enseignement. La sélection peut être modifiée pour afficher les données : par année, autres niveaux d'enseignement, intensité et sexe. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,INTENSITY LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_01+ISCED11_02+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8 DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H HIER_CONTEXT Number of teacher aides Nombre des aides-enseignants This dataset contains data on the number of teacher aides (ISCED 0-3). The default table displays 2022 data. The selection can be changed to display data: by year and sex. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur le nombre des aides-enseignants (CITE 0-3). Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données : par année et par sexe. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true AGE LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8,AGE=Y_LT30+Y30T49+Y_GE50,SEX=F DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H HIER_CONTEXT Share of teachers by gender and age range Part d’enseignants selon le sexe et par groupe d'âge This dataset contains data on the share of classroom teachers (ISCED 0-4) and academic staff (ISCED 5-8) by gender and age range. The default table displays 2022 data fro women and for a subset of education levels and age groups. The selection can be changed to display data: by year, other levels of education/age groups and men. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la part des enseignants (CITE 0-4) et du personnel académique (CITE 5-8) par sexe et groupe d'âge. Le tableau par défaut affiche les données de 2022 pour les femmes et pour un sous-ensemble de niveaux d'éducation et de groupes d'âge. La sélection peut être modifiée pour afficher les données : par année, autres niveaux d'éducation/groupes d'âge et hommes. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN INST_TYPE_EDU LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_01+ISCED11_02+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8 DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H HIER_CONTEXT Ratio of students to teaching staff by type of institution Nombre d’élèves/étudiants par enseignant selon le type d’établissement This dataset contains data on the ratio of students to classroom teachers (ISCED 0-4) or academic staff (ISCED 5-8) by type of institution. The default table displays 2022 data. The selection can be changed to display data by year. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur le nombre d'élèves/enseignants (CITE 0-4) ou personnel académique (CITE 5-8) par type d'établissement. Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données par année. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,INTENSITY=_T DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H HIER_CONTEXT Number of students adjusted to classroom teachers and academic staffs by type of institution Nombre d'élèves ajustés pour les enseignants et du personnel académique selon le type d’établissement This dataset contains data on the number of students adjusted to classroom teachers and academic staffs by type of institution. The default table displays 2022 data. The selection can be changed to display data by year. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur le nombre d'élèves ajustés pour les enseignants et du personnel académique selon le type d’établissement. Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données par année. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true Teachers (full database) NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_FIELD LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0 NOT_DISPLAYED EDUCATION_LEV=ISCED11_5T8+ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8,MEASURE=GRAD,TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_FIELD=F00+F01+F02+F03+F04+F05+F06+F07+F08+F09+F10+_TX_U,SEX=_T,MOBILITY=_T DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV(1.0).H HIER_CONTEXT Distribution of enrolled students, new entrants and graduates by field of education Répartition des élèves inscrits, des nouveaux inscrits (entrants) et des diplômés par domaine d'études This dataset contains data on the distribution of enrolled students, new entrants and graduates by field of education. The default table displays 2022 graduates data for the main fields of education and tertiary levels of education. The selection can be changed to display data: by year, other education levels, subset of fields of education, mobility status, sex and measure (students enrolled, new entrants). </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la répartition des élèves inscrits, des nouveaux inscrits (entrants) et des diplômés par domaine d'études. Le tableau par défaut affiche les données sur les diplômés de 2022 pour les principaux domaines d'études et les niveaux d'enseignement supérieur. La sélection peut être modifiée pour afficher les données : par année, autres niveaux d'enseignement, sous-ensemble de domaines d'études, statut de mobilité, sexe et mesure (étudiants inscrits, nouveaux inscrits). </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,SEX LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T+F+M,MEASURE=RPTR,AGE=_T,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT Repetition rate by level of education Taux de redoublement par niveau d'enseignement This dataset contains data on the repetition rate by level of education. The default table displays 2022 data. The selection can be changed to display data by year. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur le taux de redoublement par niveau d'enseignement. Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données par année. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,EDUCATION_LEV=ISCED11_25+ISCED11_35+ISCED11_45+ISCED11_55 DEFAULT Distribution of students in vocational education and training programmes by level of education Répartition des étudiants dans les programmes d'enseignement et de formation professionnels (EFP) par niveau d'enseignement This dataset contains data on the distribution of students in vocational education and training programmes by level of education. The default table displays 2022 data. The selection can be changed to display data: by year and by sex. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la répartition des étudiants dans les programmes d'enseignement et de formation professionnels (EFP) par niveau d'enseignement. Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données : par année et par sexe. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW AGE LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED EDUCATION_LEV=_T,AGE=Y_LT3+Y3T5+Y6T14+Y15T19+Y20T24+Y25T29,TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T DEFAULT Enrolment rate by age Taux de scolarisation par âge This dataset contains data on enrolment rate by age. The default table displays data for all levels of education, for the year 2022 and for a subset of age groups. The selection can be changed to display data: by year, sex and other age groups. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur le taux de scolarisation par âge. Le tableau par défaut affiche les données pour tous les niveaux d'enseignement, pour l'année 2022 et pour un sous-ensemble de groupes d'âge. La sélection peut être modifiée pour afficher les données : par année, par sexe et par autres groupes d'âge. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_LEV=ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8,MEASURE=NENT+GRAD,SEX=_T,MOBILITY=_T DEFAULT Mean age of enrolled students, new entrants and graduates Âge moyen des élèves/étudiants inscrits, des nouveaux inscrits (entrants) et des diplômés This dataset contains data on mean age of enrolled students, new entrants and graduates. The default table displays 2022 graduates and new entrants data for diferent tertiary levels of education. The selection can be changed to display data: by year, other levels of education, sex, mobility status and measure (enrolments). </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur l'âge moyen des élèves/étudiants inscrits, des nouveaux inscrits (entrants) et des diplômés. Le tableau par défaut affiche les données sur les diplômés et les nouveaux inscrits de 2022 pour différents niveaux d'enseignement supérieur. La sélection peut être modifiée pour afficher les données : par année, autres niveaux d'enseignement, sexe, statut de mobilité et mesure (inscriptions). </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ORIGIN LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,MOBILITY,UNIT_MULT=0,EDUCATION_LEVEL,ORIGIN,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T DEFAULT Share of national tertiary students enrolled abroad Part d'étudiants nationaux mobiles à l'étranger This dataset contains data on the share of national students going abroad. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la part d'étudiants nationaux mobiles à l'étranger. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ORIGIN LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,MOBILITY,UNIT_MULT=0,EDUCATION_LEVEL,ORIGIN,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T DEFAULT Number of national tertiary students enrolled abroad Nombre d'étudiants nationaux mobiles à l'étranger This dataset contains data on the total number of mobile national students abroad. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur le nombre d'étudiants nationaux mobiles à l'étranger. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true AGE LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T DEFAULT Number of enrolled adults by age and level of education Nombre d'adultes inscrits par âge et niveau d'enseignement This dataset contains data on the number of enrolled adults by age and level of education. The default table displays 2022 data for all men and women. The selection can be changed to display data: by year and by sex. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur le nombre d'adultes inscrits par âge et par niveau d'enseignement. Le tableau par défaut affiche les données de 2022 pour tous les hommes et toutes les femmes. La sélection peut être modifiée pour afficher les données : par année et par sexe. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true AGE LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_LEV=ISCED11_0+ISCED11_01+ISCED11_02+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8,MEASURE=ENRL,SEX=_T,REF_AREA=AUS DEFAULT Number of enrolled students, new entrants and graduates by age Nombre d'élèves/étudiants inscrits, de nouvel inscrits (entrants) et de diplômés par âge This dataset contains data on the number of enrolled students, new entrants and graduates by age. The default table displays data on enrolled students in Australia for 2022 and for a subset of education levels. The selection can be changed to display data: by year, reference area, mobility status, sex, age and measure (graduates, new entrants). </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur le nombre d'élèves/étudiants inscrits, de nouvel inscrits (entrants) et de diplômés par âge. Le tableau par défaut affiche les données sur les étudiants inscrits en Australie pour 2022 et pour un sous-ensemble de niveaux d'enseignement. La sélection peut être modifiée pour afficher les données : par année, zone de référence, statut de mobilité, sexe, âge et mesure (diplômés, nouveaux inscrits). </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_FIELD LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_LEV=ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_746_756_766+ISCED11_8,MEASURE=GRAD,SEX=_T,EDUCATION_FIELD=F00+F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,MOBILITY=_T DEFAULT Number of enrolled students, graduates and new entrants by field of education Nombre d'élèves inscrits, de diplômés et de nouveaux inscrits (entrants) par domaine d’études This dataset contains data on the number of enrolled students, new entrants and graduates by field of education. The default table displays 2022 graduates data for the main fields of education and tertiary levels of education. The selection can be changed to display data: by year, other education levels, subset of fields of education, mobility status, sex and measure (students enrolled, new entrants). </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur le nombre d'élèves inscrits, de diplômés et de nouveaux inscrits (entrants) par domaine d’études. Le tableau par défaut affiche les données sur les diplômés de 2022 pour les principaux domaines d'études et les niveaux d'enseignement supérieur. La sélection peut être modifiée pour afficher les données : par année, autres niveaux d'enseignement, sous-ensemble de domaines d'études, statut de mobilité, sexe et mesure (étudiants inscrits, nouveaux inscrits). </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN INST_TYPE_EDU LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_LEV=ISCED11_0+ISCED11_01+ISCED11_02+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8,MEASURE=ENRL,SEX=_T,INTENSITY=_T DEFAULT Number of enrolled students and graduates by type of institution Nombre d’élèves/étudiants scolarisés selon le type d’établissement This dataset contains data on the number of enrolled students and graduates by type of institution. The default table displays data on enrolled students in 2022 and for a subset of education levels. The selection can be changed to display data: by year, by intensity, by sex and measure (graduates). </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur le nombre d’élèves/étudiants scolarisés selon le type d’établissement. Le tableau par défaut affiche les données sur les élèves/étudiants inscrits en 2022 et pour un sous-ensemble de niveaux d'enseignement. La sélection peut être modifiée pour afficher les données : par année, par intensité, par sexe et par mesure (diplômés). </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true ORIGIN LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,MOBILITY,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_LEV=ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8+ISCED11_5T8,MEASURE=ENRL,SEX=_T,REF_AREA=AUS DEFAULT Number of mobile students enrolled and graduated by country of origin Nombre d'élèves/étudiants inscrits et diplômés mobiles par pays d'origine This dataset contains data on the number of mobile students enrolled and graduated by country of origin. The default table displays data on enrolled students in Australia for 2022. The selection can be changed to display data: by year, reference area, sex and measure (graduates). </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur le nombre d'élèves/étudiants inscrits et diplômés mobiles par pays d'origine. Le tableau par défaut affiche les données sur les étudiants inscrits en Australie pour 2022. La sélection peut être modifiée pour afficher les données : par année, zone de référence, sexe et mesure (diplômés). </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,GRADE LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,AGE=_T,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT Number of students and repeaters by grade and level of education Nombre d'élèves et de redoublants par année d'études et niveau d'enseignement This dataset contains data on the number of students (initial education only) and repeaters by grade and level of education. The default table displays 2022 data for all ages. The selection can be changed to display data: by year, by age (only for the number of students by grade) and sex. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur le nombre d'élèves (formation initiale uniquement) et de redoublants par année d'études et niveau d'enseignement. Le tableau par défaut affiche les données de 2022 pour tous les âges. La sélection peut être modifiée pour afficher les données : par année, par âge (uniquement pour le nombre d'élèves par année d'études) et par sexe. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_FIELD LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0 NOT_DISPLAYED EDUCATION_LEV=ISCED11_5T8,MEASURE=GRAD,TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_FIELD=F00+F01+F02+F03+F04+F05+F06+F07+F08+F09+F10+_T,SEX=F+M,MOBILITY=_T DEFAULT Share of new entrants and graduates in each field of education by gender Part des nouveaux inscrits (entrants) et des diplômés dans chaque domaine d'études selon le sexe This dataset contains data on the share of new entrants and graduates in each field of education by gender. The default table displays tertiary graduates data for 2022. The selection can be changed to display data: by year, specific education levels, mobility status, sex and measure (new entrants). </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la part des nouveaux inscrits (entrants) et des diplômés dans chaque domaine d'études selon le sexe. Le tableau par défaut affiche les données sur les diplômés de l'enseignement supérieur pour 2022. La sélection peut être modifiée pour afficher les données : par année, niveaux d'études spécifiques, statut de mobilité, sexe et mesure (nouveaux inscrits). </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_LEV=ISCED11_5+ISCED11_6+ISCED11_7,SEX=_T,MOBILITY=_T DEFAULT Share of new entrants to and first-time graduates at tertiary education Part de nouveaux inscrits (première inscription) et de diplômés (premier diplôme) de l'enseignement supérieur This dataset contains data on the share of new entrants to and first-time graduates at tertiary education. The default table displays tertiary new entrants and graduates data for 2022. The selection can be changed to display data: by year, sex and mobility status. Data correspond to the concept of first-time tertiary, i.e. person who has enter (new entrants) or successfully completed (graduates) an education programme at the tertiary level for the first time. The student may have entered / completed the programme at either ISCED level 5 (short-cyle tertiary) , 6 (bachelor) or 7 (master long first degree). </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la part de nouveaux inscrits (première inscription) et de diplômés (premier diplôme) de l'enseignement supérieur. Le tableau par défaut affiche les données sur les nouveaux inscrits et les diplômés de l'enseignement supérieur pour 2022. La sélection peut être modifiée pour afficher les données : par année, sexe et statut de mobilité. Les données correspondent au concept de premier entrant dans l'enseignement supérieur, c'est-à-dire une personne qui est entrée (nouveaux inscrit) ou a terminé avec succès (diplômé) un programme d'enseignement au niveau tertiaire pour la première fois. L'étudiant peut avoir commencé/achevé le programme au niveau CITE 5 (enseignement supérieur de cycle court), 6 (licence) ou 7 (master de premier cycle). </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN SEX LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=F+M,MOBILITY=_T,MEASURE=GRAD,EDUCATION_LEV=ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8 DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV(1.0).H HIER_CONTEXT Share of enrolled students, new entrants and graduates by gender Part d'élèves/étudiants inscrits, des nouveaux inscrits (entrants) et des diplômés selon le sexe This dataset contains data on the share of enrolled students, new entrants and graduates by gender. The default table displays 2022 graduates data for a subset of education levels. The selection can be changed to display data: by year, mobility status, sex and measure (enrolled students, new entrants). </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la part des étudiants inscrits, des nouveaux inscrits et des diplômés par sexe. Le tableau par défaut affiche les données sur les diplômés de 2022 pour un sous-ensemble de niveaux d'enseignement. La sélection peut être modifiée pour afficher les données : par année, statut de mobilité, sexe et mesure (étudiants inscrits, nouveaux inscrits). </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN INST_TYPE_EDU LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,MEASURE=ENRL,EDUCATION_LEV=ISCED11_0+ISCED11_01+ISCED11_02+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_5++ISCED11_6+ISCED11_7+ISCED11_8,INST_TYPE_EDU=INST_EDU_PUB+INST_EDU_PRIV+INST_EDU_PRIV_GOV+INST_EDU_PRIV_IND DEFAULT Distribution of enrolled students and graduates by type of institution Répartition d’élèves/étudiants scolarisés selon le type d’établissement This dataset contains data on the distribution of enrolled students and graduates by type of institution. The default table displays data on enrolled students in 2022 and for a subset of education levels. The selection can be changed to display data: by year, by intensity, by sex and measure (graduates). </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la répartition d’élèves/étudiants scolarisés selon le type d’établissement. Le tableau par défaut affiche les données sur les élèves/étudiants inscrits en 2022 et pour un sous-ensemble de niveaux d'enseignement. La sélection peut être modifiée pour afficher les données : par année, par intensité, par sexe et par mesure (diplômés). </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,MEASURE=GRAD,SEX=_T,EDUCATION_LEV=ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8 DEFAULT Share of mobile enrolments, new entrants and graduates Part des nouveaux inscrits (entrants) et des diplômés mobiles This dataset contains data on the share of mobile new entrants and graduates by tertiary levels. The default table displays tertiary graduates data for 2022. The selection can be changed to display data: by year, sex and measure (new entrants). Data for short-cyle tertiary, bachelor's, master's combined correspond to the concept of first-time tertiary, i.e. person who has enter (new entrants) or successfully completed (graduates) an education programme at the tertiary level for the first time. The student may have entered / completed the programme at either ISCED level 5 (short-cyle tertiary) , 6 (bachelor) or 7 (master long first degree). </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la part des nouveaux inscrits (entrants) et des diplômés mobiles. Le tableau par défaut affiche les données sur les diplômés de l'enseignement supérieur pour 2022. La sélection peut être modifiée pour afficher les données : par année, sexe et mesure (nouveaux inscrits). Les données pour l'enseignement supérieur de cycle court, la licence et le master combinés correspondent au concept de premier cycle supérieur, c'est-à-dire une personne qui est entrée (nouveaux inscrits) ou a terminé avec succès (diplômé) un programme d'enseignement au niveau tertiaire pour la première fois. L'étudiant peut avoir commencé/achevé le programme au niveau CITE 5 (enseignement supérieur de cycle court), 6 (licence) ou 7 (master long premier diplôme). </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW DESTINATION LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,MOBILITY,UNIT_MULT=0,MEASURE,EDUCATION_LEVEL NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,DESTINATION=E+F+A2+A9+O+S+W DEFAULT Share of mobile students enrolled at tertiary level by country of destination Part d’étudiants en mobilité internationale par pays d’accueil This dataset contains data on the share of mobile students by country of destination. The default table displays data by region of destination for 2022. The selection can be changed to display data: by year and by country of destination. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la part des étudiants mobiles par pays de destination. Le tableau par défaut affiche les données par région de destination pour 2022. La sélection peut être modifiée pour afficher les données : par année et par pays de destination. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ORIGIN LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,MOBILITY,UNIT_MULT=0,MEASURE,EDUCATION_LEVEL NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,ORIGIN=E+F+A2+A9+O+S+W DEFAULT Share of mobile students enrolled at tertiary level by country of origin Part d’étudiants en mobilité internationale par pays d’origine This dataset contains data on the share of mobile students by country of origin. The default table displays data by region of origin for 2022. The selection can be changed to display data: by year and by country of origin. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la part d’étudiants en mobilité internationale par pays d’origine. Le tableau par défaut affiche les données par région d'origine pour 2022. La sélection peut être modifiée pour afficher les données : par année et par pays d'origine. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN INTENSITY LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=_T,EDUCATION_LEV=ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8 DEFAULT Share of enrolled part-time and full-time students Part d'élèves/étudiants inscrits à temps partiel et à temps plein This dataset contains data on the share of enrolled part-time and full-time students. The default table displays 2022 data. The selection can be changed to display data: by year and by sex. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la part d'élèves/étudiants inscrits à temps partiel et à temps plein. Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données : par année et par sexe. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,SEX=F+M,MEASURE=RPTR,AGE=_T,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT Share of repeaters by gender and level of education Part des redoublants selon le sexe et le niveau d'enseignement This dataset contains data on the share of repeaters by gender and level of education. The default table displays 2022 data. The selection can be changed to display data by year. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la part des redoublants par sexe et niveau d'enseignement. Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données par année. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,EDUCATION_LEV=ISCED11_35SW+ISCED11_45SW+ISCED11_55SW,SEX=_T DEFAULT Share of students enrolled in school and work-based programmes Part d'élèves/étudiants scolarisés dans des programmes emploi-études parmi les étudiants scolarisés dans des programmes d'EFP This dataset contains data on the share of students enrolled in school and work-based programmes. The default table displays 2022 data. The selection can be changed to display data: by year and by sex. </p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a> and the <a href="https://doi.org/10.1787/9789264304444-en"><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur la part d'élèves/étudiants scolarisés dans des programmes emploi-études parmi les étudiants scolarisés dans des programmes d'EFP. Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données : par année et par sexe. </p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regard sur l'éducation 2024</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Regard sur l'éducation 2024 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true Student (full database) NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD LAYOUT_NOTE REF_PERIOD=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_25+ISCED11_34+ISCED11_35 DEFAULT COMBINED_UNIT_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 0.999999995 SEARCH_WEIGHT EXT_RESOURCE Full dataset on teaching and working time of teachers|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de temps d'enseignement et de travail des enseignants|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' actual teaching time Temps d'enseignement annuel effectif des enseignants <p>This dataset contains data on actual teaching time of full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). The table displays data in hours per year.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données contient des données sur le temps d'enseignement réel des enseignants à temps plein dans les établissements publics de l'enseignement préscolaire, primaire et secondaire (premier et deuxième cycles) (programmes généraux et professionnels). Le tableau affiche les données en heures par an.</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_25+ISCED11_34+ISCED11_35,REF_AREA=OECD DEFAULT 0.999999990 SEARCH_WEIGHT Teaching and working time of teachers - full dataset Temps d'enseignement et de travail des enseignants - ensemble complet de données <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on teaching and working time of teachers.</p><p>It covers full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). The default selection shows all available measures of the OECD average.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données est téléchargeable au format CSV. Il contient les données brutes complètes sur le temps d'enseignement et de travail des enseignants.</p><p>Il couvre les enseignants à temps plein dans les établissements publics de l'enseignement préprimaire, primaire et secondaire (premier et deuxième cycles) (programmes généraux et professionnels). La sélection par défaut affiche toutes les mesures disponibles de la moyenne de l'OCDE.</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD=2020,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU22+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Teachers' actual annual teaching time Temps d'enseignement annuel effectif des enseignants <p>This dataset presents data on actual teaching time of full-time teachers (including overtime) in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). Data refers to the reference year 2020 (school year 2019/20 or 2020), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/3197152b-en/1/3/5/2/index.html?itemId=/content/publication/3197152b-en&_csp_=7702d7a2844b0c49180e6b095bf85459&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2022</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209.15661913.1694419564-1098612334.1635497562">Annex 3 of <i>Education at a Glance 2022</i></a>. <p>Cet ensemble de données présente le temps d'enseignement réel des enseignants à temps plein (y compris les heures supplémentaires) dans les établissements publics en l'enseignement préprimaire, primaire et secondaire (programmes généraux et professionnels). Les données se réfèrent à l'année de référence 2020 (année scolaire 2019/20 ou 2020), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org/sites/4d8c8801-fr/index.html?itemId=/content/component/4d8c8801-fr#"><i>Regards sur l'éducation 2022</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209. 15661913.1694419564-1098612334.1635497562">Annexe 3 de <i>Regards sur l'éducation 2022</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION STATISTICAL_OPERATION LAYOUT_NOTE REF_PERIOD=2021,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED PERS_TYPE=TE,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,UNIT_MEASURE=H_Y,MEASURE=WKT_STA_TCH+WKT_STA_WKT+WKT_STA_WKS DEFAULT Teaching and working time of teachers and school heads - full dataset Temps d'enseignement et de travail des enseignants et des chefs d'établissement - ensemble complet de données <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on teaching and working time of teachers and school heads.</p><p>It covers full-time teachers and school heads in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). Data refers to the reference year 2021 (school year 2020/21 or 2021), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/3197152b-en/1/3/5/2/index.html?itemId=/content/publication/3197152b-en&_csp_=7702d7a2844b0c49180e6b095bf85459&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2022</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209.15661913.1694419564-1098612334.1635497562">Annex 3 of <i>Education at a Glance 2022</i></a>. <p>Cet ensemble de données a pour objectif le téléchargement au format CSV. Il contient les données brutes complètes sur les temps d'enseignement et de travail des enseignants et des chefs d'établissement. Il n'y a pas de filtre ni de vue par défaut pour cet ensemble de données, la navigation dans les données peut donc être lente.</p><p>Il couvre les enseignants et les chefs d'établissement travaillant à plein temps dans des établissements publics, travaillant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2020 (année scolaire 2019/20 ou 2020), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org/sites/4d8c8801-fr/index.html?itemId=/content/component/4d8c8801-fr#"><i>Regards sur l'éducation 2022</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209. 15661913.1694419564-1098612334.1635497562">Annexe 3 de <i>Regards sur l'éducation 2022</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD=2021,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU22+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE;EDUCATION_LEV:EDUCATION_LEV COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;EDUCATION_LEV:Education level COMBINED_MEASURE:Mesure combinée;EDUCATION_LEV:Niveau de l'enseignement UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(1.0).H HIER_CONTEXT School heads' working time Temps de travail des chefs d'établissement <p>This dataset presents data on statutory requirement on working time (and teaching time, if applicable) of full-time school heads in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). Data refers to the reference year 2021 (school year 2020/21 or 2021), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/3197152b-en/1/3/5/2/index.html?itemId=/content/publication/3197152b-en&_csp_=7702d7a2844b0c49180e6b095bf85459&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2022</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209.15661913.1694419564-1098612334.1635497562">Annex 3 of <i>Education at a Glance 2022</i></a>. <p>Cet ensemble de données présente des données sur les exigences légales en matière de temps de travail (et de temps d'enseignement) des chefs d'établissement travaillant à temps plein dans les établissements publics, dans l'enseignement préprimaire, primaire et secondaire (premier et deuxième cycles de programmes généraux et professionnels). Les données se réfèrent à l'année de référence 2021 (année scolaire 2020/21 ou 2021), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org/sites/4d8c8801-fr/index.html?itemId=/content/component/4d8c8801-fr#"><i>Regards sur l'éducation 2022</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209. 15661913.1694419564-1098612334.1635497562">Annexe 3 de <i>Regards sur l'éducation 2022</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN STATISTICAL_OPERATION LAYOUT_NOTE REF_PERIOD=2021,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU22+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE;EDUCATION_LEV:EDUCATION_LEV COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;EDUCATION_LEV:Education level COMBINED_MEASURE:Mesure combinée;EDUCATION_LEV:Niveau de l'enseignement UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(1.0).H HIER_CONTEXT Teachers' statutory teaching and working time Temps d'enseignement et de travail statutaire des enseignants <p>This dataset presents data on statutory requirement on teaching and working time of full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). Data refers to the reference year 2021 (school year 2020/21 or 2021), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/3197152b-en/1/3/5/2/index.html?itemId=/content/publication/3197152b-en&_csp_=7702d7a2844b0c49180e6b095bf85459&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2022</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209.15661913.1694419564-1098612334.1635497562">Annex 3 of <i>Education at a Glance 2022</i></a>. <p>Cet ensemble de données présente des données sur les exigences légales en matière de temps d'enseignement et temps de travail des enseignants travaillant à temps plein dans les établissements publics, enseignant dans l’enseignement préprimaire, primaire et secondaire (premier et deuxième cycles de programmes généraux et professionnels). Les données se réfèrent à l'année de référence 2021 (année scolaire 2020/21 ou 2021), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org/sites/4d8c8801-fr/index.html?itemId=/content/component/4d8c8801-fr#"><i>Regards sur l'éducation 2022</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209. 15661913.1694419564-1098612334.1635497562">Annexe 3 de <i>Regards sur l'éducation 2022</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN STATISTICAL_OPERATION LAYOUT_NOTE REF_PERIOD=2021,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED REF_AREA=BEL+BFL+BFR+CAN+CA10+CA11+CA12+CA13+CA24+CA35+CA46+CA47+CA48+CA59+CA60+CA61+CA62+KOR+KR011+KR012+KR013+KR021+KR022+KR023+KR031+KR032+KR041+KR042+KR043+KR051+KR052+KR053+KR054+KR061+KR071+GBR+UKB+UKL+UKM+UKN,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE;EDUCATION_LEV:EDUCATION_LEV COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;EDUCATION_LEV:Education level COMBINED_MEASURE:Mesure combinée;EDUCATION_LEV:Niveau de l'enseignement UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(1.0).H HIER_CONTEXT Teachers' statutory teaching and working time (subnational data) Temps d'enseignement et de travail statutaire des enseignants (données infranationales) <p>This dataset presents data on statutory requirement on teaching and working time of full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes) for some subnational entities. Data refers to the reference year 2021 (school year 2020/21 or 2021), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/3197152b-en/1/3/5/2/index.html?itemId=/content/publication/3197152b-en&_csp_=7702d7a2844b0c49180e6b095bf85459&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2022</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209.15661913.1694419564-1098612334.1635497562">Annex 3 of <i>Education at a Glance 2022</i></a>. <p>Cet ensemble de données présente des données sur les exigences légales en matière de temps d'enseignement et temps de travail des enseignants travaillant à temps plein dans les établissements publics, enseignant dans l’enseignement préprimaire, primaire et secondaire (premier et deuxième cycles de programmes généraux et professionnels) pour certaines entités infranationales. Les données se réfèrent à l'année de référence 2021 (année scolaire 2020/21 ou 2021), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org/sites/4d8c8801-fr/index.html?itemId=/content/component/4d8c8801-fr#"><i>Regards sur l'éducation 2022</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209. 15661913.1694419564-1098612334.1635497562">Annexe 3 de <i>Regards sur l'éducation 2022</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD,STATISTICAL_OPERATION LAYOUT_NOTE REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED MEASURE=WKT_STA_TCH,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_25+ISCED11_34+ISCED11_35 DEFAULT UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(2.0).H HIER_CONTEXT EXT_RESOURCE Full dataset on teaching and working time of teachers|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de temps d'enseignement et de travail des enseignants|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' statutory teaching and working time Temps d'enseignement et de travail statutaire des enseignants <p>This dataset contains data on statutory requirements on teaching and working time of teachers. It covers requirements for full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes).</p><p>The default table displays data on teaching time (in hours, days and weeks per year). The selection can be changed to display data in working time (total working time or working time required at school, in hours per year).</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>.</p><p>For historical data on statutory teaching hours, see <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=2&tm=teaching%20time%20trend%20teacher&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_EAG_WT_TREND%40DF_ALL&df[ag]=OECD.EDU.IMEP&lc=en"><b>Trends in teachers' statutory teaching time since 2000</b></a>.</p> <p>Cet ensemble de données contient des données sur les exigences légales en matière de temps d'enseignement et de travail des enseignants. Il couvre les exigences pour les enseignants à temps plein dans les établissements publics de l'enseignement préscolaire, primaire et secondaire (premier et deuxième cycles) (programmes généraux et professionnels).</p><p>Le tableau par défaut affiche les données sur le temps d'enseignement (en heures, jours et semaines par an). La sélection peut être modifiée pour afficher les données sur le temps de travail (temps de travail total ou temps de travail requis à l'école, en heures par an).</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>.</p><p>Pour des données historiques sur le temps d'enseignement statutaires, voir <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=2&tm=teaching%20time%20trend%20teacher&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_EAG_WT_TREND%40DF_ALL&df[ag]=OECD.EDU.IMEP&lc=fr"><b>Évolution du temps d'enseignement statutaire des enseignants depuis 2000</b></a>.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD,STATISTICAL_OPERATION LAYOUT_NOTE REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED MEASURE=WKT_STA_TCH,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_25+ISCED11_34+ISCED11_35 DEFAULT UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(2.0).H HIER_CONTEXT 0.999999997 SEARCH_WEIGHT EXT_RESOURCE Full dataset on teaching and working time of teachers|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de temps d'enseignement et de travail des enseignants|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' statutory teaching and working time - Subnational entities Temps d'enseignement et de travail statutaire des enseignants - Entités infranationales <p>This dataset contains data on statutory requirements on teaching and working time of full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes) in subnational entities of some countries.</p><p>The default table displays data on teaching time (in hours, days and weeks per year). The selection can be changed to display data on working time (total working time or working time required at school, in hours per year).</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données contient des données sur les exigences réglementaires en matière de temps d'enseignement et de travail des enseignants à temps plein dans les établissements publics de l'enseignement préscolaire, primaire et secondaire (premier et deuxième cycles) (programmes généraux et professionnels) dans les entités infranationales de certains pays.</p><p>Le tableau par défaut affiche les données sur le temps d'enseignement (en heures, jours et semaines par an). La sélection peut être modifiée pour afficher les données sur le temps de travail (temps de travail total ou temps de travail requis à l'école, en heures par an).</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN STATISTICAL_OPERATION LAYOUT_NOTE PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_1 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Trends in teachers' statutory teaching time since 2000 Évolution du temps d'enseignement statutaire des enseignants depuis 2000 <p>This dataset contains a trend of statutory teaching time requirement since 2000. It covers full-time teachers in public institutions in pre-primary, primary, lower secondary education (general programmes) and upper secondary general programmes.</p><p>The default table displays data in hours per year for teachers at the primary level. The selection can be changed to display data on different years and on different levels of education.</p><p>For more information, please consult <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance 2024</i></a>. Additional details regarding the methodology used, references to the sources and specific notes for each country can be found in <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente l'évolution du temps d'enseignement réglementaire depuis 2000. Il couvre les enseignants à temps plein des établissements publics de l'enseignement préscolaire, primaire, secondaire inférieur (programmes généraux) et secondaire supérieur (programmes généraux).</p><p>Le tableau par défaut affiche les données en heures par an pour les enseignants du primaire. La sélection peut être modifiée pour afficher les données sur différentes années et sur différents niveaux d'enseignement.</p><p>Pour plus d'informations, veuillez consulter <a href="https://doi.org/10.1787/c00cad36-en"><i>Regards sur l'éducation 2024</i></a>. Des détails supplémentaires concernant la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays peuvent être trouvés dans <a href="https://doi.org/10.1787/e7d20315-en"><i>Education at a Glance 2024 Sources, Methodologies and Technical Notes</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN STATISTICAL_OPERATION LAYOUT_NOTE PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_1 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Trends in teachers' statutory teaching time since 2000 Évolution du temps d'enseignement statutaire des enseignants depuis 2000 <p>This dataset presents a trend of statutory teaching time requirement since 2000. It covers teachers working full time in public institutions, teaching in pre-primary, primary and (lower and upper) secondary education (general and vocational programmes).</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/3197152b-en/1/3/5/2/index.html?itemId=/content/publication/3197152b-en&_csp_=7702d7a2844b0c49180e6b095bf85459&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2022</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209.15661913.1694419564-1098612334.1635497562">Annex 3 of <i>Education at a Glance 2022</i></a>. <p>Cet ensemble de données présente une tendance des exigences légales en matière de temps d'enseignement depuis 2000. Il couvre les enseignants travaillant à temps plein dans des établissements publics, enseignant dans l'enseignement préprimaire, primaire et secondaire (premier et deuxième cycles de programmes généraux et professionnels).</p><p>Pour plus d'informations, veuillez consulter <a href= "https://www.oecd-ilibrary.org/sites/4d8c8801-fr/index.html?itemId=/content/component/4d8c8801-fr#"><i>Regard sur l'éducation 2022</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209. 15661913.1694419564-1098612334.1635497562">Annexe 3 de <i>Regards sur l'éducation 2022</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN STATISTICAL_OPERATION LAYOUT_NOTE PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_1 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Trends in teaching time of teachers - full dataset Évolution du temps d'enseignement des enseignants - ensemble complet de données <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on the trend data for teaching time of teachers.</p><p>It covers teachers working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. Data is available from the reference year 2000.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/3197152b-en/1/3/5/2/index.html?itemId=/content/publication/3197152b-en&_csp_=7702d7a2844b0c49180e6b095bf85459&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2022</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209.15661913.1694419564-1098612334.1635497562">Annex 3 of <i>Education at a Glance 2022</i></a>. <p>Cet ensemble de données a pour objectif le téléchargement au format CSV. Il contient les données brutes complètes sur les évolutions du temps d'enseignement. Il n'y a pas de filtre ni de vue par défaut pour cet ensemble de données, la navigation dans les données peut donc être lente.</p><p>Il couvre les enseignants travaillant à plein temps dans des établissements publics, travaillant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données sont disponible depuis l'année de référence 2000.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org/sites/4d8c8801-fr/index.html?itemId=/content/component/4d8c8801-fr#"><i>Regards sur l'éducation 2022</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209. 15661913.1694419564-1098612334.1635497562">Annexe 3 de <i>Regards sur l'éducation 2022</i> (en anglais)</a>. NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Acute care The Healthcare Quality and Outcomes (HCQO) data provides a systematic overview of the quality in healthcare – a core dimension of health system performance. They include indicators on the quality of Primary Care (Avoidable Admissions), Safe Prescribing in primary care, Acute Care, Integrated Care, Cancer Care, Mental Healthcare, Patient Safety, Patient Experiences, Mental Health Patient’s Experiences, and End-of-life care. <p /> The indicators reported allow for assessment of whether the care provided is: <ul> <li>Effective: achieving desirable outcomes, given the correct provision of evidence-based healthcare services to all who could benefit, but not to those who would not benefit</li> <li>Safe: reducing harm caused in the delivery of healthcare processes</li> <li>Patient-centred: placing the patient/user at the centre of its delivery of healthcare</li> </ul> <p /> HCQO indicators also evaluate Access, Quality and People’s needs and preferences domains of OECD’s <a target="_blank" href="https://www.oecd.org/health/health-system-performance-assessment.htm">Health System Performance Assessment Framework.</a> <p /> Indicator definitions and calculation methodology of the HCQO indicators are available in the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fb584133-65aa-4af6-b604-4209e3951454">HCQO Definitions document.</a> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE,SEX LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2004,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Cancer care The Healthcare Quality and Outcomes (HCQO) data provides a systematic overview of the quality in healthcare – a core dimension of health system performance. They include indicators on the quality of Primary Care (Avoidable Admissions), Safe Prescribing in primary care, Acute Care, Integrated Care, Cancer Care, Mental Healthcare, Patient Safety, Patient Experiences, Mental Health Patient’s Experiences, and End-of-life care. <p /> The indicators reported allow for assessment of whether the care provided is: <ul> <li>Effective: achieving desirable outcomes, given the correct provision of evidence-based healthcare services to all who could benefit, but not to those who would not benefit</li> <li>Safe: reducing harm caused in the delivery of healthcare processes</li> <li>Patient-centred: placing the patient/user at the centre of its delivery of healthcare</li> </ul> <p /> HCQO indicators also evaluate Access, Quality and People’s needs and preferences domains of OECD’s <a target="_blank" href="https://www.oecd.org/health/health-system-performance-assessment.htm">Health System Performance Assessment Framework.</a> <p /> Indicator definitions and calculation methodology of the HCQO indicators are available in the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fb584133-65aa-4af6-b604-4209e3951454">HCQO Definitions document.</a> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT End-of-life care The Healthcare Quality and Outcomes (HCQO) data provides a systematic overview of the quality in healthcare – a core dimension of health system performance. They include indicators on the quality of Primary Care (Avoidable Admissions), Safe Prescribing in primary care, Acute Care, Integrated Care, Cancer Care, Mental Healthcare, Patient Safety, Patient Experiences, Mental Health Patient’s Experiences, and End-of-life care. <p /> The indicators reported allow for assessment of whether the care provided is: <ul> <li>Effective: achieving desirable outcomes, given the correct provision of evidence-based healthcare services to all who could benefit, but not to those who would not benefit</li> <li>Safe: reducing harm caused in the delivery of healthcare processes</li> <li>Patient-centred: placing the patient/user at the centre of its delivery of healthcare</li> </ul> <p /> HCQO indicators also evaluate Access, Quality and People’s needs and preferences domains of OECD’s <a target="_blank" href="https://www.oecd.org/health/health-system-performance-assessment.htm">Health System Performance Assessment Framework.</a> <p /> Indicator definitions and calculation methodology of the HCQO indicators are available in the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fb584133-65aa-4af6-b604-4209e3951454">HCQO Definitions document.</a> NonProductionDataflow true SEX,REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2014,SEX=_T+F,STATISTICAL_OPERATION=OBS+VALUEW,MEASURE=ADMRASTH+ADMRCOPD+ASCOCOMP+ADMRCHFL+ADMRHYPT+CHHYCOMP+ADMRDBUC+PATRDBLE+ADMRDBLE DEFAULT 10000 MAX_TABLE_DATA Healthcare quality and outcomes The Healthcare Quality and Outcomes (HCQO) data provides a systematic overview of the quality in healthcare – a core dimension of health system performance. They include indicators on the quality of Primary Care (Avoidable Admissions), Safe Prescribing in primary care, Acute Care, Integrated Care, Cancer Care, Mental Healthcare, Patient Safety, Patient Experiences, Mental Health Patient’s Experiences, and End-of-life care. <p /> The indicators reported allow for assessment of whether the care provided is: <ul> <li>Effective: achieving desirable outcomes, given the correct provision of evidence-based healthcare services to all who could benefit, but not to those who would not benefit</li> <li>Safe: reducing harm caused in the delivery of healthcare processes</li> <li>Patient-centred: placing the patient/user at the centre of its delivery of healthcare</li> </ul> <p /> HCQO indicators also evaluate Access, Quality and People’s needs and preferences domains of OECD’s <a target="_blank" href="https://www.oecd.org/health/health-system-performance-assessment.htm">Health System Performance Assessment Framework.</a> <p /> Indicator definitions and calculation methodology of the HCQO indicators are available in the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fb584133-65aa-4af6-b604-4209e3951454">HCQO Definitions document.</a> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Integrated care The Healthcare Quality and Outcomes (HCQO) data provides a systematic overview of the quality in healthcare – a core dimension of health system performance. They include indicators on the quality of Primary Care (Avoidable Admissions), Safe Prescribing in primary care, Acute Care, Integrated Care, Cancer Care, Mental Healthcare, Patient Safety, Patient Experiences, Mental Health Patient’s Experiences, and End-of-life care. <p /> The indicators reported allow for assessment of whether the care provided is: <ul> <li>Effective: achieving desirable outcomes, given the correct provision of evidence-based healthcare services to all who could benefit, but not to those who would not benefit</li> <li>Safe: reducing harm caused in the delivery of healthcare processes</li> <li>Patient-centred: placing the patient/user at the centre of its delivery of healthcare</li> </ul> <p /> HCQO indicators also evaluate Access, Quality and People’s needs and preferences domains of OECD’s <a target="_blank" href="https://www.oecd.org/health/health-system-performance-assessment.htm">Health System Performance Assessment Framework.</a> <p /> Indicator definitions and calculation methodology of the HCQO indicators are available in the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fb584133-65aa-4af6-b604-4209e3951454">HCQO Definitions document.</a> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Mental healthcare The Healthcare Quality and Outcomes (HCQO) data provides a systematic overview of the quality in healthcare – a core dimension of health system performance. They include indicators on the quality of Primary Care (Avoidable Admissions), Safe Prescribing in primary care, Acute Care, Integrated Care, Cancer Care, Mental Healthcare, Patient Safety, Patient Experiences, Mental Health Patient’s Experiences, and End-of-life care. <p /> The indicators reported allow for assessment of whether the care provided is: <ul> <li>Effective: achieving desirable outcomes, given the correct provision of evidence-based healthcare services to all who could benefit, but not to those who would not benefit</li> <li>Safe: reducing harm caused in the delivery of healthcare processes</li> <li>Patient-centred: placing the patient/user at the centre of its delivery of healthcare</li> </ul> <p /> HCQO indicators also evaluate Access, Quality and People’s needs and preferences domains of OECD’s <a target="_blank" href="https://www.oecd.org/health/health-system-performance-assessment.htm">Health System Performance Assessment Framework.</a> <p /> Indicator definitions and calculation methodology of the HCQO indicators are available in the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fb584133-65aa-4af6-b604-4209e3951454">HCQO Definitions document.</a> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Mental health - patient reported experience measures The Healthcare Quality and Outcomes (HCQO) data provides a systematic overview of the quality in healthcare – a core dimension of health system performance. They include indicators on the quality of Primary Care (Avoidable Admissions), Safe Prescribing in primary care, Acute Care, Integrated Care, Cancer Care, Mental Healthcare, Patient Safety, Patient Experiences, Mental Health Patient’s Experiences, and End-of-life care. <p /> The indicators reported allow for assessment of whether the care provided is: <ul> <li>Effective: achieving desirable outcomes, given the correct provision of evidence-based healthcare services to all who could benefit, but not to those who would not benefit</li> <li>Safe: reducing harm caused in the delivery of healthcare processes</li> <li>Patient-centred: placing the patient/user at the centre of its delivery of healthcare</li> </ul> <p /> HCQO indicators also evaluate Access, Quality and People’s needs and preferences domains of OECD’s <a target="_blank" href="https://www.oecd.org/health/health-system-performance-assessment.htm">Health System Performance Assessment Framework.</a> <p /> Indicator definitions and calculation methodology of the HCQO indicators are available in the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fb584133-65aa-4af6-b604-4209e3951454">HCQO Definitions document.</a> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Primary care The Healthcare Quality and Outcomes (HCQO) data provides a systematic overview of the quality in healthcare – a core dimension of health system performance. They include indicators on the quality of Primary Care (Avoidable Admissions), Safe Prescribing in primary care, Acute Care, Integrated Care, Cancer Care, Mental Healthcare, Patient Safety, Patient Experiences, Mental Health Patient’s Experiences, and End-of-life care. <p /> The indicators reported allow for assessment of whether the care provided is: <ul> <li>Effective: achieving desirable outcomes, given the correct provision of evidence-based healthcare services to all who could benefit, but not to those who would not benefit</li> <li>Safe: reducing harm caused in the delivery of healthcare processes</li> <li>Patient-centred: placing the patient/user at the centre of its delivery of healthcare</li> </ul> <p /> HCQO indicators also evaluate Access, Quality and People’s needs and preferences domains of OECD’s <a target="_blank" href="https://www.oecd.org/health/health-system-performance-assessment.htm">Health System Performance Assessment Framework.</a> <p /> Indicator definitions and calculation methodology of the HCQO indicators are available in the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fb584133-65aa-4af6-b604-4209e3951454">HCQO Definitions document.</a> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Patient experiences The Healthcare Quality and Outcomes (HCQO) data provides a systematic overview of the quality in healthcare – a core dimension of health system performance. They include indicators on the quality of Primary Care (Avoidable Admissions), Safe Prescribing in primary care, Acute Care, Integrated Care, Cancer Care, Mental Healthcare, Patient Safety, Patient Experiences, Mental Health Patient’s Experiences, and End-of-life care. <p /> The indicators reported allow for assessment of whether the care provided is: <ul> <li>Effective: achieving desirable outcomes, given the correct provision of evidence-based healthcare services to all who could benefit, but not to those who would not benefit</li> <li>Safe: reducing harm caused in the delivery of healthcare processes</li> <li>Patient-centred: placing the patient/user at the centre of its delivery of healthcare</li> </ul> <p /> HCQO indicators also evaluate Access, Quality and People’s needs and preferences domains of OECD’s <a target="_blank" href="https://www.oecd.org/health/health-system-performance-assessment.htm">Health System Performance Assessment Framework.</a> <p /> Indicator definitions and calculation methodology of the HCQO indicators are available in the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fb584133-65aa-4af6-b604-4209e3951454">HCQO Definitions document.</a> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Prescribing in primary care The Healthcare Quality and Outcomes (HCQO) data provides a systematic overview of the quality in healthcare – a core dimension of health system performance. They include indicators on the quality of Primary Care (Avoidable Admissions), Safe Prescribing in primary care, Acute Care, Integrated Care, Cancer Care, Mental Healthcare, Patient Safety, Patient Experiences, Mental Health Patient’s Experiences, and End-of-life care. <p /> The indicators reported allow for assessment of whether the care provided is: <ul> <li>Effective: achieving desirable outcomes, given the correct provision of evidence-based healthcare services to all who could benefit, but not to those who would not benefit</li> <li>Safe: reducing harm caused in the delivery of healthcare processes</li> <li>Patient-centred: placing the patient/user at the centre of its delivery of healthcare</li> </ul> <p /> HCQO indicators also evaluate Access, Quality and People’s needs and preferences domains of OECD’s <a target="_blank" href="https://www.oecd.org/health/health-system-performance-assessment.htm">Health System Performance Assessment Framework.</a> <p /> Indicator definitions and calculation methodology of the HCQO indicators are available in the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fb584133-65aa-4af6-b604-4209e3951454">HCQO Definitions document.</a> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION,SEX LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Patient safety The Healthcare Quality and Outcomes (HCQO) data provides a systematic overview of the quality in healthcare – a core dimension of health system performance. They include indicators on the quality of Primary Care (Avoidable Admissions), Safe Prescribing in primary care, Acute Care, Integrated Care, Cancer Care, Mental Healthcare, Patient Safety, Patient Experiences, Mental Health Patient’s Experiences, and End-of-life care. <p /> The indicators reported allow for assessment of whether the care provided is: <ul> <li>Effective: achieving desirable outcomes, given the correct provision of evidence-based healthcare services to all who could benefit, but not to those who would not benefit</li> <li>Safe: reducing harm caused in the delivery of healthcare processes</li> <li>Patient-centred: placing the patient/user at the centre of its delivery of healthcare</li> </ul> <p /> HCQO indicators also evaluate Access, Quality and People’s needs and preferences domains of OECD’s <a target="_blank" href="https://www.oecd.org/health/health-system-performance-assessment.htm">Health System Performance Assessment Framework.</a> <p /> Indicator definitions and calculation methodology of the HCQO indicators are available in the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fb584133-65aa-4af6-b604-4209e3951454">HCQO Definitions document.</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF_ACTIVITY_STATUS LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P DEFAULT SEARCH_WEIGHT 1.00170 1.00170 Physicians <p>This dataset provides data on the number of physicians by <strong>status</strong> (<em>ie.</em> practising physicians, professionally active physicians, and physicians licenced to practice).</p> <p><strong>Practising physicians</strong> provide services for individual patients.</p> <p><strong>Professionally active physicians</strong> include practising physicians and other physicians for whom their medical education is a prerequisite for the execution of the job.</p> <p><strong>Physicians licensed to practice</strong> include practising and other (non-practising) physicians who are registered and entitled to practice as healthcare professionals.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,AGE=_T,SEX=M+F,UNIT_MEASURE=PS+PT_WR_PRF DEFAULT SEARCH_WEIGHT 1.00160 1.00160 Physicians by age and sex <p>This dataset provides data on the number of physicians by <strong>age groups and gender</strong>. Age groups include less than 35, 35-44, 45-54, 55-64, 65-74, 75+, for total, female and male physicians.</p> <p>The breakdown by age and gender is provided for practising physicians. If not possible, the data are reported for professionally active physicians or physicians licensed to practise.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=10P3HB DEFAULT SEARCH_WEIGHT 1.00150 1.00150 Physicians by categories <p>This dataset provides data on the number of <strong>physicians</strong> by three main categories and eight sub-categories.</p> <p>Three main categories and eight sub-categories selected are defined as follows:</p> <p>Generalist medical practitioners (ISCO-08 code: 2211)</p> <ul> <li>General practitioners</li> <li>Other generalist (non-specialist) medical practitioners</li> </ul> <p>Specialist medical practitioners (ISCO-08 code: 2212)</p> <ul> <li>General paediatricians</li> <li>Obstetricians and gynaecologists</li> <li>Psychiatrists</li> <li>Medical group of specialists</li> <li>Surgical group of specialists</li> <li>Other specialists not elsewhere classified</li> </ul> <p>Medical doctors not further defined (ISCO-08 code: 2210)</p> <p>The breakdown by categories is provided for <strong>practising physicians</strong> where possible. If not possible, the data are reported for professionally active physicians or physicians licensed to practise.</p> <p><strong>Practising physicians</strong> provide services for individual patients.</p> <p>Notes: - The following criteria are proposed in order to avoid double counting of doctors who have more than one specialty: 1) the predominant (main) area of practice of doctors; or 2) the last specialty for which doctors have received registration.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED MEASURE=HSE,UNIT_MEASURE=PT_EMP DEFAULT SEARCH_WEIGHT 1.00200 1.00200 Healthcare human resources <p>Health professionals and graduates across the health sector.</p> <p>Please refer to the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=80130ebd-5f8d-482f-9613-2891b0fc0fcf">Sources and Methods for detailed country-specific information.</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,UNIT_MEASURE=10P3HB DEFAULT SEARCH_WEIGHT 1.00180 1.00180 Health and social employment <p>This dataset provides data on the number of persons (headcounts) working in <strong>healthcare and social work</strong>.</p> <p>The following groups of the International Standard Industrial Classification (ISIC, rev.4) are included:</p> <p>ISIC rev.4 - Section VQ Description: Human health and social work activities</p> <ul> <li>86 Human health activities</li> <li>87_88 Residential care and social work activities</li> <li>87 Residential care activities</li> <li>88 Social work activities without accommodation</li> </ul> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE,WORK_TIME_ARNGMNT,WORKER_STATUS,ATTAINMENT_LEV,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,ATTAINMENT_LEV=_Z,WORKER_STATUS=_Z,WORK_TIME_ARNGMNT=_Z,MODE_PROVISION=_Z NOT_DISPLAYED LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:PRICE_BASE,UNIT_MEASURE;COMBINED_MEASURE:MEASURE,REF_SECTOR COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée Long-term care resources and utilisation Ressources et utilisation des soins de longue durée This dataset presents key indicators on long-term care, covering formal LTC workers at home or in institutions, as well as their working conditions (part-time or full-time status, fixed-term or permanent employment, and by level of education); beds in residential long-term care facilities; LTC recipients in institutions (other than hospitals) or at home; and data on the public/private split for LTC facilities, LTC recipients and LTC beds. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a29d8d56-e227-4e7b-a90f-b2232b074723">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des indicateurs clés sur les soins de longue durée, couvrant l'emploi formel en soins de longue durée (en institution ou à domicile), ainsi que les conditions de travail (statut à temps partiel ou à temps plein, emploi à durée déterminée ou permanent, et par niveau d'éducation) ; lits dans les établissements résidentiels de soins de longue durée ; bénéficiaires de soins de longue durée dans des établissements (autres que les hôpitaux) ou à domicile ; et des données sur la répartition public/privé pour les établissements, les bénéficiaires et les lits de soins de longue durée. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a29d8d56-e227-4e7b-a90f-b2232b074723">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,ATTAINMENT_LEV=_Z,WORKER_STATUS=_Z,WORK_TIME_ARNGMNT=_Z,MODE_PROVISION=_Z NOT_DISPLAYED LASTNPERIODS=5,MEASURE=LTCB,UNIT_MEASURE=10P3HB_Y_GE65 DEFAULT Long-term care resources and utilisation - beds Ressources et utilisation des soins de longue durée - lits This dataset presents key indicators on beds in residential long-term care facilities. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=bfedccfa-bf3a-42dd-91de-f9367c820598">Sources and Methods</a> for detailed country-specific information. <p />Sources and methodology by country are available within the data tables. Cet ensemble de données présente des indicateurs clés sur les lits dans les établissements résidentiels de soins de longue durée. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=bfedccfa-bf3a-42dd-91de-f9367c820598">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. <p />Les sources et méthodes par pays sont disponibles au sein des tableaux de données. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,ATTAINMENT_LEV=_Z,WORKER_STATUS=_Z,WORK_TIME_ARNGMNT=_Z,MODE_PROVISION=_Z NOT_DISPLAYED LASTNPERIODS=5,MEASURE=LTCR,AGE=Y_GE65,SEX=_T,UNIT_MEASURE=PT_POP_Y_GE65 DEFAULT Long-term care resources and utilisation - recipients Ressources et utilisation des soins de longue durée - bénéficiaires This dataset presents key indicators on LTC recipients in institutions (other than hospitals) or at home, by gender and age groups. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=87e11bdd-617d-466a-9f20-6589a0be22fd">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des indicateurs clés sur les bénéficiaires de soins de longue durée en établissements (autres que les hôpitaux) ou à domicile, par sexe et par groupe d'âge. <p />Veuillez vous référer aux <a target=""_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=87e11bdd-617d-466a-9f20-6589a0be22fd">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE,WORK_TIME_ARNGMNT,WORKER_STATUS,ATTAINMENT_LEV,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED LASTNPERIODS=5,MEASURE=FTE_FLTE,MODE_PROVISION=_T,HEALTH_PROF=_T,UNIT_MEASURE=10P2HB_Y_GE65 DEFAULT Long-term care resources and utilisation - workers Ressources et utilisation des soins de longue durée - emploi This dataset presents key indicators on formal LTC workers at home or in institutions, covering nurses and personal carers, by gender. It also covers their working conditions (part-time or full-time status, fixed-term or permanent employment, and by level of education). <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2664c09b-50a9-4fc8-b663-3ce3e10bd3fc">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des indicateurs clés sur l'emploi formel en soins de longue durée (en institution ou à domicile), couvrant le personnel infirmier et les aides-soignants, par sexe. Il couvre également leurs conditions de travail (statut à temps partiel ou à temps plein, emploi à durée déterminée ou permanent, et par niveau d'éducation). <p />Veuillez vous référer aux <a target="_blank"" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2664c09b-50a9-4fc8-b663-3ce3e10bd3fc">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE,OWNERSHIP_TYPE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED LASTNPERIODS=5,MEASURE=LTCF DEFAULT Long-term care resources and recipients by facility ownership Ressources et bénéficiaires de soins de longue durée par statut de propriété This dataset presents key indicators on the public/private split for LTC facilities, LTC recipients and LTC beds. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b48c5c66-a843-480b-862f-1bb2cf30d3a4">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des indicateurs clés sur la répartition public/privé pour les établissements de soins de longue durée, ainsi que pour les bénéficiaires et les lits de soins de longue durée. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b48c5c66-a843-480b-862f-1bb2cf30d3a4">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED MEASURE=TBC+SP_DS,TIME_PERIOD_START=2010,UNIT_MEASURE=PT_POP+CG_SM_D DEFAULT SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H,AGE:OECD.ELS.HD:HCL_AGE_LVNG(1.0).H,UNIT_MEASURE:OECD.ELS.HD:HCL_UOM_LVNG(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00010 1.00010 Risk factors for health Facteurs de risque pour la santé Unhealthy lifestyles and poor environments cause millions of people to die prematurely. Smoking, harmful alcohol use, physical inactivity and obesity are the root cause of many chronic conditions. <p />This dataset presents the latest data for tobacco consumption (including daily smokers by age and sex), vaping (by age and sex), alcohol consumption, fruits and vegetables consumption, as well as measured and self-reported data on overweight and obesity. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=17d36de2-b4ae-409a-9968-a27c7f2857e4">Sources and Methods</a> for detailed country-specific information. Des modes de vie malsains et des environnements néfastes entraînent la mort prématurée de millions de personnes. Le tabagisme, la consommation nocive d’alcool, la sédentarité et l’obésité sont à l’origine de nombreuses maladies chroniques. <p />Cet ensemble de données présente les dernières données sur la consommation de tabac (y compris les fumeurs quotidiens par âge et sexe), le vapotage (par âge et sexe), la consommation d'alcool, la consommation de fruits et légumes, ainsi que des données mesurées et autodéclarées sur le surpoids et l'obésité. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=17d36de2-b4ae-409a-9968-a27c7f2857e4">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H,AGE:OECD.ELS.HD:HCL_AGE_LVNG(1.0).H,UNIT_MEASURE:OECD.ELS.HD:HCL_UOM_LVNG(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00040 1.00040 Alcohol consumption Consommation d'alcool Unhealthy lifestyles and poor environments cause millions of people to die prematurely. Smoking, harmful alcohol use, physical inactivity and obesity are the root cause of many chronic conditions. <p />This dataset presents the latest data for alcohol consumption. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=92937318-d21d-4310-b2c7-ef5adae2242c">Sources and Methods</a> for detailed country-specific information. Des modes de vie malsains et des environnements néfastes entraînent la mort prématurée de millions de personnes. Le tabagisme, la consommation nocive d’alcool, la sédentarité et l’obésité sont à l’origine de nombreuses maladies chroniques. <p />Cet ensemble de données présente les dernières données sur la consommation d'alcool. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=92937318-d21d-4310-b2c7-ef5adae2242c">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN METHODOLOGY,MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T DEFAULT SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H,AGE:OECD.ELS.HD:HCL_AGE_LVNG(1.0).H,UNIT_MEASURE:OECD.ELS.HD:HCL_UOM_LVNG(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00060 1.00060 Body weight Masse pondérale Unhealthy lifestyles and poor environments cause millions of people to die prematurely. Smoking, harmful alcohol use, physical inactivity and obesity are the root cause of many chronic conditions. <p />This dataset presents the latest data for overweight and obesity (measured and self-reported data). <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cdab3b80-014b-4ea9-a3ae-a855d478d9c0">Sources and Methods</a> for detailed country-specific information. Des modes de vie malsains et des environnements néfastes entraînent la mort prématurée de millions de personnes. Le tabagisme, la consommation nocive d’alcool, la sédentarité et l’obésité sont à l’origine de nombreuses maladies chroniques. <p />Cet ensemble de données présente des données mesurées et autodéclarées sur le surpoids et l'obésité. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cdab3b80-014b-4ea9-a3ae-a855d478d9c0">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015 DEFAULT SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H,AGE:OECD.ELS.HD:HCL_AGE_LVNG(1.0).H,UNIT_MEASURE:OECD.ELS.HD:HCL_UOM_LVNG(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00050 1.00050 Food supply and consumption Approvisionnement et consommation alimentaire Unhealthy lifestyles and poor environments cause millions of people to die prematurely. Smoking, harmful alcohol use, physical inactivity and obesity are the root cause of many chronic conditions. <p />This dataset presents the latest data for fruits and vegetables consumption (survey data), as well as for key food supply (fat, calories, protein, sugar, etc.). <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=587ae2f7-51e7-4329-9efc-5fcac2a3fe1b">Sources and Methods</a> for detailed country-specific information on food supply. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5b61fb4c-1d39-42ef-93c2-b126609edd23">Sources and Methods</a> for detailed country-specific information on survey data for consumption of vegetables and fruits. Des modes de vie malsains et des environnements néfastes entraînent la mort prématurée de millions de personnes. Le tabagisme, la consommation nocive d’alcool, la sédentarité et l’obésité sont à l’origine de nombreuses maladies chroniques. <p />Cet ensemble de données présente les dernières données sur la consommation de fruits et légumes (données d'enquête), ainsi que sur l'approvisionnement alimentaire clé (graisses, calories, protéines, sucre, etc.). <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=587ae2f7-51e7-4329-9efc-5fcac2a3fe1b">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays concernant l'approvisionnement. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5b61fb4c-1d39-42ef-93c2-b126609edd23">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays concernant les données d'enquête sur la consommation de fruits et légumes. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H,AGE:OECD.ELS.HD:HCL_AGE_LVNG(1.0).H,UNIT_MEASURE:OECD.ELS.HD:HCL_UOM_LVNG(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00020 1.00020 Tobacco consumption Consommation de tabac Unhealthy lifestyles and poor environments cause millions of people to die prematurely. Smoking, harmful alcohol use, physical inactivity and obesity are the root cause of many chronic conditions. <p />This dataset presents the latest data for tobacco consumption (including daily smokers by age and sex). <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8baf1855-eace-4eba-8029-a872da71454b">Sources and Methods</a> for detailed country-specific information. Des modes de vie malsains et des environnements néfastes entraînent la mort prématurée de millions de personnes. Le tabagisme, la consommation nocive d’alcool, la sédentarité et l’obésité sont à l’origine de nombreuses maladies chroniques. <p />Cet ensemble de données présente les dernières données sur la consommation de tabac (y compris les fumeurs quotidiens par âge et sexe). <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8baf1855-eace-4eba-8029-a872da71454b">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H,AGE:OECD.ELS.HD:HCL_AGE_LVNG(1.0).H,UNIT_MEASURE:OECD.ELS.HD:HCL_UOM_LVNG(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00030 1.00030 Use of vaping products Utilisation de produits de vapotage Unhealthy lifestyles and poor environments cause millions of people to die prematurely. Smoking, harmful alcohol use, physical inactivity and obesity are the root cause of many chronic conditions. <p />This dataset presents the latest data for vaping (by age and sex). <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2747cd23-21a7-417b-a40f-6df4cbc29422">Sources and Methods</a> for detailed country-specific information. Des modes de vie malsains et des environnements néfastes entraînent la mort prématurée de millions de personnes. Le tabagisme, la consommation nocive d’alcool, la sédentarité et l’obésité sont à l’origine de nombreuses maladies chroniques. <p />Cet ensemble de données présente les dernières données sur le vapotage (par âge et sexe). <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2747cd23-21a7-417b-a40f-6df4cbc29422">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true TIME_PERIOD LAYOUT_ROW REF_AREA,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED AGE=_T,SEX=_T,MEASURE=M,TIME_PERIOD_START=2023-W01 DEFAULT Mortality by week Mortalité hebdomadaire This dataset presents the latest data on all-cause death statistics, excess mortality and COVID-19 deaths, by week, for all OECD countries for which data are available. Please refer to the Methodological Note below for details on methods of calculation and caution regarding cross-country comparisons. Sources by country are available in a separate file in Excel format. <p /><ul> <li>Read the Methodological Note <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=97aacc20-eac4-4e44-8f59-9fb5b7e25090">All-cause, Excess and COVID-19 deaths</a></li> <li>Access <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a2663531-70f0-487f-b076-40350901429e">additional information on sources by country</a></li> </ul> <p />WARNING: Reporting of the number of All-cause and COVID-19 deaths particularly for the most recent weeks may be only partial and subject to significant revision. The calculated values for excess deaths for the most recent weeks are therefore also subject to significant revision. Cet ensemble de données présente les chiffres les plus récents sur les statistiques de mortalité toutes causes confondues, la surmortalité et les décès dus au COVID-19, par semaine, pour tous les pays de l'OCDE pour lesquels des données sont disponibles. Veuillez vous référer à la note méthodologique ci-dessous pour plus de détails sur les méthodes de calcul et les précautions concernant les comparaisons entre pays. Les sources par pays sont disponibles dans un fichier séparé au format Excel. <p /><ul> <li>Lire la note méthodologique <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=97aacc20-eac4-4e44-8f59-9fb5b7e25090">All-cause, Excess and COVID-19 deaths</a></li> <li>Accédez à des <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a2663531-70f0-487f-b076-40350901429e">informations supplémentaires sur les sources par pays</a></li> </ul> <p />AVERTISSEMENT : La déclaration du nombre de décès toutes causes confondues et dus au COVID-19, en particulier au cours des semaines les plus récentes, peut n'être que partielle et sujette à des révisions significatives. Les valeurs calculées pour la surmortalité pour les semaines les plus récentes sont donc également sujettes à des révisions significatives. NonProductionDataflow true TIME_PERIOD LAYOUT_ROW REF_AREA,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED AGE=_T,SEX=_T,MEASURE=MCVD19,TIME_PERIOD_START=2023-W01 DEFAULT COVID-19 mortality by week Mortalité hebdomadaire due à la COVID-19 This dataset presents the latest data on COVID-19 deaths by week, for all OECD countries for which data are available. Please refer to the Methodological Note below for details on methods of calculation and caution regarding cross-country comparisons. Sources by country are available in a separate file in Excel format. <p /><ul> <li>Read the Methodological Note <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=97aacc20-eac4-4e44-8f59-9fb5b7e25090">All-cause, Excess and COVID-19 deaths</a></li> <li>Access <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a2663531-70f0-487f-b076-40350901429e">additional information on sources by country</a></li> </ul> <p />WARNING: Reporting of the number of All-cause and COVID-19 deaths particularly for the most recent weeks may be only partial and subject to significant revision. The calculated values for excess deaths for the most recent weeks are therefore also subject to significant revision. Cet ensemble de données présente les chiffres les plus récents sur les décès hebdomadaires dus au COVID-19, pour tous les pays de l'OCDE pour lesquels des données sont disponibles. Veuillez vous référer à la note méthodologique ci-dessous pour plus de détails sur les méthodes de calcul et les précautions concernant les comparaisons entre pays. Les sources par pays sont disponibles dans un fichier séparé au format Excel. <p /><ul> <li>Lire la note méthodologique <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=97aacc20-eac4-4e44-8f59-9fb5b7e25090">All-cause, Excess and COVID-19 deaths</a></li> <li>Accédez à des <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a2663531-70f0-487f-b076-40350901429e">informations supplémentaires sur les sources par pays</a></li> </ul> <p />AVERTISSEMENT : La déclaration du nombre de décès toutes causes confondues et dus au COVID-19, en particulier au cours des semaines les plus récentes, peut n'être que partielle et sujette à des révisions significatives. Les valeurs calculées pour la surmortalité pour les semaines les plus récentes sont donc également sujettes à des révisions significatives. NonProductionDataflow true TIME_PERIOD LAYOUT_ROW REF_AREA,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED AGE=_T,SEX=_T,MEASURE=EM,TIME_PERIOD_START=2023-W01 DEFAULT Excess mortality by week Surmortalité hebdomadaire This dataset presents the latest data on excess mortality by week, for all OECD countries for which data are available. Please refer to the Methodological Note below for details on methods of calculation and caution regarding cross-country comparisons. Sources by country are available in a separate file in Excel format. <p /><ul> <li>Read the Methodological Note <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=97aacc20-eac4-4e44-8f59-9fb5b7e25090">All-cause, Excess and COVID-19 deaths</a></li> <li>Access <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a2663531-70f0-487f-b076-40350901429e">additional information on sources by country</a></li> </ul> <p />WARNING: Reporting of the number of All-cause and COVID-19 deaths particularly for the most recent weeks may be only partial and subject to significant revision. The calculated values for excess deaths for the most recent weeks are therefore also subject to significant revision. Cet ensemble de données présente les chiffres les plus récents sur la surmortalité hebdomadaire, pour tous les pays de l'OCDE pour lesquels des données sont disponibles. Veuillez vous référer à la note méthodologique ci-dessous pour plus de détails sur les méthodes de calcul et les précautions concernant les comparaisons entre pays. Les sources par pays sont disponibles dans un fichier séparé au format Excel. <p /><ul> <li>Lire la note méthodologique <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=97aacc20-eac4-4e44-8f59-9fb5b7e25090">All-cause, Excess and COVID-19 deaths</a></li> <li>Accédez à des <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a2663531-70f0-487f-b076-40350901429e">informations supplémentaires sur les sources par pays</a></li> </ul> <p />AVERTISSEMENT : La déclaration du nombre de décès toutes causes confondues et dus au COVID-19, en particulier au cours des semaines les plus récentes, peut n'être que partielle et sujette à des révisions significatives. Les valeurs calculées pour la surmortalité pour les semaines les plus récentes sont donc également sujettes à des révisions significatives. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG MEASURE=DISCHARGE,MODE_PROVISION=_T+HBEDT,FUNCTION=_T+HC1,TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Hospital aggregates This dataset reports data for key hospital aggregates: inpatient care discharges and average length of stay; and curative care discharges, bed-days, average length of stay and occupancy rate. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OCCUPATION,CONSULTATION_TYPE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG MEDICAL_PROCEDURE,DIAGNOSTIC_TYPE,HEALTH_CARE_PROVIDER,FUNCTION,MODE_PROVISION,CARE_TYPE,HEALTH_FACILITY,AGE,SEX,DATA_SRCE,MARKET_TYPE,PHARMACEUTICAL,WAITING_TIME NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Consultations This dataset reports data for doctors consultations and dentists consultations (in all settings). The data refer to the average number of consultations/visits with a physician or a dentist per person per year. NonProductionDataflow true REF_AREA,PROVIDER LAYOUT_ROW TIME_PERIOD,HEALTH_FACILITY LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG TIME_PERIOD_START=2015,UNIT_MEASURE=EXM_10P3PS DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Diagnostic exams An exam is defined as a medical imaging session to study one (or more than one) body part that yields one or more views for diagnostic purposes. <p /> Data are collected for Computed Tomography (CT) exams, Magnetic Resonance Imaging (MRI) exams, and Positron Emission Tomography (PET) exams. Data are collected for the total number of exams and for the breakdown between hospitals and ambulatory care providers. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG DIAGNOSTIC_TYPE=DICDA100,TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Hospital average length of stay by diagnostic categories Average length of stay (ALOS) is calculated by dividing the number of bed-days by the number of discharges during the year. The list of diagnostic categories is based on the International Shortlist for Hospital Morbidity Tabulation (ISHMT). NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DIAGNOSTIC_TYPE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG TIME_PERIOD_START=2010,SEX=_T,DIAGNOSTIC_TYPE=DICDA100,UNIT_MEASURE=DSC_10P5PS DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Hospital discharges by diagnostic categories A hospital discharge is the formal release of a patient from a hospital. <p /> The list of diagnostic categories is based on the International Shortlist for Hospital Morbidity Tabulation (ISHMT). Click here to see the complete shortlist with ICD-10 and ICD-9 codes. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DISEASE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Immunisations This dataset reports data on children immunisation, for immunisation against Diphtheria, Tetanus and Pertussis, immunisation against Measles and immunisation against Hepatitis B, as well as immunisation against influenza among the population aged 65 and over. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX,AGE,DISEASE,PROVIDER,MEDICAL_PROCEDURE,DIAGNOSTIC_TYPE,FUNCTION,MODE_PROVISION,PROVIDER,OCCUPATION,CARE_TYPE,CONSULTATION_TYPE,HEALTH_FACILITY,DATA_SRCE,WAITING_TIME LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG DISEASE=_Z,CANCER_SITE=_Z,PROVIDER=_Z,HEALTH_FACILITY=_Z NOT_DISPLAYED MEASURE=IMMUN,TIME_PERIOD_START=2010 DEFAULT COMBINED_MEASURE:MEASURE,SEX,AGE,DISEASE,PROVIDER,MEDICAL_PROCEDURE,DIAGNOSTIC_TYPE,FUNCTION,MODE_PROVISION,PROVIDER,OCCUPATION,CARE_TYPE,CONSULTATION_TYPE,HEALTH_FACILITY,DATA_SRCE,WAITING_TIME;COMBINED_UNIT_MEASURE:UNIT_MEASURE,ADJUSTMENT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Healthcare utilisation This dataset reports data on key aspects of the utilisation of healthcare, such as consultations with doctors and dentists, immunisation of children and the population aged 65+, cancer screening, hospital indicators such as discharges or average length of stay, diagnostic exams, surgical procedures and waiting times. NonProductionDataflow true REF_AREA,SEX LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CANCER_SITE,DATA_SRCE,AGE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG MEDICAL_PROCEDURE,OCCUPATION,DIAGNOSTIC_TYPE,FUNCTION,AGE,WAITING_TIME NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure CANCER_SITE:OECD.ELS.HD:HCL_CANCER_SITE_SCREEN(1.0).H HIER_CONTEXT Screening This dataset reports survey data and programme data for three types of cancer screening: breast cancer, cervical cancer and colorectal cancer. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG TIME_PERIOD_START=2010,MEDICAL_PROCEDURE=CM131_138 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Surgical procedures This dataset reports data for a selection of surgical procedures (by ICD-9-CM). <p /> Surgical procedures are medical interventions involving an incision with instruments usually performed in an operating theatre and normally involving anaesthesia and/or respiratory assistance. Surgical procedures can be performed either as inpatient cases, day cases or, in certain instances, as outpatient cases. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,MEDICAL_PROCEDURE,WAITING_TIME,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OCCUPATION,DIAGNOSTIC_TYPE,FUNCTION,AGE,SEX,MODE_PROVISION,CARE_TYPE,HEALTH_FACILITY,DATA_SRCE NOT_DISPLAYED TIME_PERIOD_START=2010,MEDICAL_PROCEDURE=CM131_138,WAITING_TIME=WTSP,UNIT_MEASURE=PT_PAT_WAIT_M_GT3 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Measure COMBINED_MEASURE:Mesure Waiting times This dataset reports data on waiting times for selected elective surgeries (by ICD-9-CM). <p /> Waiting times from specialist assessment to treatment includes the time elapsed for patients on the non-emergency (elective) surgery waiting list from the date they were added to the waiting list for the procedure (following specialist assessment) to the date they were admitted for treatment. <p /> Waiting times of patients on the list includes the time elapsed for patients on the non-emergency (elective) surgery waiting list from the date they were added to the waiting list for the procedure (following specialist assessment) to a designated census date. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Healthcare coverage Couverture des soins de santé The share of a population covered for a core set of health services offers an initial measure of access to care and financial protection. Most OECD countries have achieved universal or near-universal coverage for a core set of health services, which usually include consultations with doctors, tests and examinations, and hospital care. <p />This dataset presents the latest data for government (compulsory) health insurance, and for the various types of voluntary health insurance coverage. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f88b9598-3216-412d-aae8-19e170d8dd0f">Sources and Methods</a> for detailed country-specific information. La part d’une population couverte par un ensemble de services de santé de base offre une première mesure de l’accès aux soins et à la protection financière. La plupart des pays de l’OCDE ont atteint une couverture universelle ou quasi universelle pour un ensemble de services de santé de base, qui comprennent généralement des consultations avec des médecins, des tests et examens et des soins hospitaliers. <p />Cet ensemble de données présente les dernières données sur l'assurance maladie gouvernementale (obligatoire) et sur les différents types de couverture d'assurance maladie volontaire. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f88b9598-3216-412d-aae8-19e170d8dd0f">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=10P3HB DEFAULT SEARCH_WEIGHT 1.00120 1.00120 Caring personnel (personal care workers) <p>This dataset provides data on the number of <strong>caring personnel by status </strong>(<em>ie.</em> <strong>practising caring personnel or professionally active caring personnel</strong>).</p> <p><strong>Practising caring personnel (personal care workers)</strong> include both Healthcare assistants in institutions (ISCO-08 5321) and Home-based personal care workers (ISCO-08 5322).</p> <p><strong>Healthcare assistants</strong> (ISCO-08 code: 5321) provide direct personal care and assistance with activities of daily living to patients and residents in a variety of healthcare settings such as hospitals, clinics, and residential nursing care facilities. They generally work in implementation of established care plans and practices, and under the direct supervision of medical, nursing or other health professionals or associate professionals.</p> <p><strong>Home-based personal care workers</strong> (ISCO-08 code: 5322) provide routine personal care and assistance with activities of daily living to persons who are in need of such care due to effects of ageing, illness, injury, or other physical or mental condition in private homes and other independent residential settings.</p> <p><strong>Professionally active caring personnel</strong> (personal care workers) include practising caring personnel and other caring personnel for whom their education is a prerequisite for the execution of the job.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=10P3HB DEFAULT SEARCH_WEIGHT 1.00110 1.00110 Dentists <p>This dataset provides data on the number of <strong>dentists by status</strong> (<em>ie.</em> practising dentists, professionally active dentists, and dentists licenced to practice)</p> <p><strong>Practising dentists</strong> provide services for patients. They include stomatologists, dental and maxillofacial surgeons.</p> <p><strong>Professionally active dentists</strong> are practising dentists and other dentists for whom their education in dentistry / stomatology is a prerequisite for the execution of the job.</p> <p><strong>Dentists licensed to practice</strong> include practising and other (non-practising) dentists, who are registered and entitled to practice as healthcare professionals in the field of dentistry. They include stomatologists, dental and maxillofacial surgeons.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF=PHYS+MIDW+MINU+DNST+PHST,UNIT_MEASURE=10P5HB DEFAULT HEALTH_PROF:OECD.ELS.HD:HCL_HEALTH_PROF_HOSP_GRAD(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00070 1.00070 Graduates <p>This dataset provides data on <strong>graduates by category</strong> defined as follows:</p> <ul> <li>Medical graduates: number of students who have graduated in medicine from medical faculties or similar institutions, i.e., who have completed basic medical education in a given year.</li> <li>Dentists graduates: number of students who have obtained a recognised qualification in dentistry in a given year.</li> <li>Pharmacists graduates: number of students who have obtained a recognised qualification in pharmacy in a given year.</li> <li>Midwives graduates: number of students who have obtained a recognised qualification in midwifery in a given year.</li> <li>Nursing graduates: number of students who have obtained a recognised qualification in nursing in a given year.</li> <li>Professional nursing graduates: number of students who have obtained a recognised qualification as a professional nurse in a given year.</li> <li>Associate professional nursing graduates: number of students who have obtained a recognised qualification as an associate professional nurse in a given year.</li> </ul> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,UNIT_MEASURE=PS,HEALTH_PROF=_T DEFAULT HEALTH_PROF:OECD.ELS.HD:HCL_HEALTH_PROF_HOSP_EMP(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00080 1.00080 Hospital employment <p>This dataset provides data on <strong>total hospital employment</strong> (<em>ie.</em> persons employed in general and specialty hospitals) by category:</p> <ul> <li>Physicians</li> <li>Professional nurses and midwives</li> <li>Associate professional nurses</li> <li>Healthcare assistants</li> <li>Other health service providers</li> <li>Other staff</li> </ul> <p>This refers to service contracts with non-employed health professionals on treatment of hospital patients. Data are presented by number of persons employed (head counts), and number of full-time equivalent (FTE) persons employed in general and specialty hospitals. Self-employed are included.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=10P3HB,HEALTH_PROF=EMPLGENE+EMPLSPMP DEFAULT SEARCH_WEIGHT 1.00140 1.00140 Midwives <p>This dataset provides data on the number of midwives by status (<em>ie.</em> practising midwives, professionally active midwives, and midwives licenced to practice).</p> <p><strong>Practising midwives</strong> provide services directly to patients.</p> <p><strong>Professionally active midwives</strong> include practising and other (non-practising) midwives for whom their education is a prerequisite for the execution of the job.</p> <p><strong>Midwives licensed to practice</strong> have acquired the requisite education and qualifications to be registered and/or legally licensed to practice midwifery. They include both practising and other (non-practising) midwives.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=10P3HB,HEALTH_PROF=MINU DEFAULT SEARCH_WEIGHT 1.00130 1.00130 Nurses <p>This dataset provides data on the number of nurses by status (<em>ie.</em> practising nurses, professionally active nurses, and nurses licenced to practice) and category (<em>ie.</em> Professional nurses and associate professional nurses).</p> <p><strong>Practising nurses</strong> provide services directly to patients.</p> <p><strong>Professionally active nurses</strong> include practising nurses and other nurses for whom their education is a prerequisite for the execution of the job.</p> <p><strong>A nurse licensed to practice</strong> has completed a programme of nursing education and is qualified and authorised in his/her country to practice nursing. They include practising and other (nonpractising) nurses.</p> <p>Categories are defined as follows:</p> <p><strong>Professional nurses</strong> assume responsibility for the planning and management of the care of patients, including the supervision of other healthcare workers, working autonomously or in teams with medical doctors and others in the practical application of preventive and curative measures.</p> <p><strong>Associate professional nurses</strong> generally work under the supervision of, and in support of implementation of healthcare, treatment and referrals plans established by medical, nursing and other health professionals.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=10P3HB DEFAULT SEARCH_WEIGHT 1.00100 1.00100 Pharmacists <p>This dataset provides data on the number of <strong>pharmacists by status</strong> (<em>ie.</em> practising pharmacists, professionally active pharmacists, and pharmacists licenced to practice).</p> <p><strong>Practising pharmacists</strong> prepare, dispense or sell medicaments and drugs for patients and provide advice.</p> <p><strong>Professionally active pharmacists</strong> are practising pharmacists and other pharmacists for whom their education in pharmacy is a prerequisite for the execution of the job.</p> <p><strong>Pharmacists licensed to practice</strong> include practising and other (non-practising) pharmacists who are registered and entitled to practice.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=10P3HB DEFAULT SEARCH_WEIGHT 1.00090 1.00090 Physiotherapists <p>This dataset provides data on the number of <strong>practising physiotherapists</strong>.</p> <p><strong>Physiotherapists</strong> assess, plan and implement rehabilitative programs that improve or restore human motor functions, maximize movement ability, relieve pain syndromes, and treat or prevent physical challenges associated with injuries, diseases and other impairments. They apply a broad range of physical therapies and techniques such as movement, ultrasound, heating, laser and other techniques.</p> <p><strong>Practising physiotherapists</strong> provide services for patients.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,WORKER_STATUS=ICSE93_1,PRICE_BASE=V,UNIT_MEASURE=XDC DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SEARCH_WEIGHT 1.00060 1.00060 Remuneration <p>This dataset provides data on the remuneration of health professionals <strong>by category</strong> (<em>ie.</em> general practitioners, specialists, and hospital nurses) and <strong>by status </strong>(<em>ie.</em> salaried and self-employed).</p> <p><strong>General practice</strong> includes fully-qualified general practitioners (GPs). Physicians in training should normally be excluded.</p> <p><strong>Specialists </strong>include fully-qualified physicians who have specialised and work primarily in areas other than general practice. Physicians in training should normally be excluded.</p> <p><strong>Salaried hospital nurses </strong>include registered nurses actively practising in public and private hospitals and who receive most of their income via a salary.</p> <p><strong>Salaried:</strong> Employees and who receive most of their income via a salary.</p> <p><strong>Self-employed</strong>: Physicians who are primarily non-salaried. That is, they are either self-employed, or operate independently, usually receiving (mainly) either capitation or fee-for-service reimbursement.</p> <p>For physicians who are both salaried and operate in a self-employed or independent capacity, they are presented in the category under which they receive the majority of their compensation.</p> <p>Remuneration is defined as the average gross annual income, including social security contributions and income taxes payable by the employee. Final Consumption expenditure (FCE) price is used.</p> <p>NOTE: Average salaries for healthcare professionals are now converted to USD PPPs using PPPs for household final consumption to bring them in line with average earnings calculations across the OECD. Average salaries presented in the 2021 database cannot be compared with data from previous versions.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,CARE_TYPE=_T,UNIT_MEASURE=10P3HB DEFAULT HEALTH_FUNCTION:OECD.ELS.HD:HCL_HEALTH_FUNCTION_REAC(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00030 1.00030 Hospital beds by function of healthcare <p>This dataset provides data on the number of total hospitals beds <strong>by function of healthcare</strong> (<em>ie.</em> curative (acute) care beds, rehabilitative care beds, long-term care beds, other hospital beds)&nbsp;and by <strong>type of care</strong> (<em>ie.</em> somatic or psychiatric care)</p> <p>Total hospital beds are all hospital (HP.1) beds which are regularly maintained and staffed and immediately available for the care of admitted patients. They are the sum of the following categories:</p> <ul> <li><strong>Curative care (acute care) beds in hospitals </strong>(HP.1) are hospital beds that are available for curative care (HC.1 in the SHA classification).</li> <li><strong>Rehabilitative care beds in hospitals </strong>(HP.1) are hospital beds that are available for rehabilitative care (HC.2 in the SHA classification).</li> <li><strong>Long-term care beds in hospitals</strong> (HP.1) are hospital beds accommodating patients requiring long-term care (HC.3 in the SHA classification)</li> <li>All <strong>other beds in hospitals</strong> (HP.1) not elsewhere classified.</li> </ul> <p>Bed numbers according to these functional categories are also broken down between somatic care and psychiatric care.</p> <p><strong>Somatic care beds</strong> in hospitals are hospital beds that are available for care relating to the body, as distinguished from psychiatric/mental care.</p> <p><strong>Psychiatric care beds</strong> in hospitals are hospital beds accommodating patients with mental health problems.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,STATISTICAL_OPERATION LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,MEASURE=HBU_ICU_A,STATISTICAL_OPERATION=MEAN+_Z,UNIT_MEASURE=10P5HB+BD+PT_BD_AV_ICU DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,STATISTICAL_OPERATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SEARCH_WEIGHT 1.00020 1.00020 Intensive care unit (ICU) beds and use <p>This dataset provides data on the number of <strong>intensive care unit (ICU)</strong> beds and use.</p> <p>An<strong> intensive care unit (ICU) </strong>is an organized system for the provision of care to critically ill patients that provides intensive and specialised medical and nursing care, an enhanced capacity for monitoring, and multiple modalities of physiologic organ support to sustain life during a period of acute organ system insufficiency. Although an ICU is based in a defined geographic area of a hospital, its activities often extend beyond the walls of the physical space to include the emergency department, hospital ward, and follow-up clinic.</p> <p>Data are provided as follows:</p> <ul> <li><strong>Total ICU beds</strong> (providing intensive care of Levels 1 to 3): average number of available beds. This data includes all adult, neonatal and paediatric ICU beds available for all patients needing intensive care (not only for COVID-19 patients).</li> <li><strong>Total adult ICU beds</strong> (providing intensive care of Levels 1 to 3): average number of available beds and maximum number of available beds.</li> <li><strong>Critical care adult beds</strong> (providing intensive care of Levels 2 and 3): average number of available beds and maximum number of available beds.</li> <li><strong>Total neonatal ICU beds</strong>: average number of available beds.</li> <li><strong>Total paediatric ICU beds</strong>: average number of available beds.</li> <li><strong>Total adult ICU bed-days</strong>: number of days during which adult ICU beds were effectively occupied by inpatients.</li> <li><strong>Total adult ICU occupancy rate</strong>: average occupancy rate calculated as the number of ICU beds effectively occupied (bed-days) for intensive care divided by the number of ICU beds available (at any one time) multiplied by 365 days, with the ratio multiplied by 100. The maximum daily occupancy rate reached during the period is also requested.</li> <li><strong>Days with total adult ICU occupancy rate over 80% and over 95%:</strong> number of days over the year where the ICU occupancy rate was higher than 80% and 95%.</li> </ul> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,OWNERSHIP_TYPE=_T,UNIT_MEASURE=10P3HB DEFAULT SEARCH_WEIGHT 1.00040 1.00040 Hospital beds by sector <p>This dataset provides data on the number of total hospitals beds <strong>by sector</strong> (<em>ie.</em> beds in publicly owned hospitals, beds in not-for-profit privately owned hospitals, beds in for-profit privately owned hospitals). Total hospital beds are all hospital (HP.1) beds which are regularly maintained and staffed and immediately available for the care of admitted patients. They are the sum of the following categories:</p> <ul> <li><strong>Beds in publicly owned hospitals:</strong> Hospitals that are owned or controlled by a government unit or another public corporation (where control is defined as the ability to determine the general corporate policy).</li> <li><strong>Beds in not-for-profit privately owned hospitals: &nbsp;</strong>Hospitals that are legal or social entities created for the purpose of producing goods and services, whose status does not permit them to be a source of income, profit, or other financial gain for the unit(s) that establish, control or finance them.</li> <li><strong>Beds in for-profit privately owned hospitals:</strong> Hospitals that are legal entities set up for the purpose of producing goods and services and are capable of generating a profit or other financial gain for their owners.</li> </ul> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,OWNERSHIP_TYPE=_T,UNIT_MEASURE=HSPTL+10P6HB DEFAULT SEARCH_WEIGHT 1.00050 1.00050 Hospitals <p>This dataset provides data on the number of <strong>hospitals by sector</strong> (<em>ie.</em> publicly-owned hospitals, not-for-profit privately owned hospitals, for-profit privately owned hospitals) and <strong>by type</strong> (<em>ie.</em> General hospitals).</p> <p>Hospitals refer to:</p> <ul> <li>General hospitals (HP .1.1)</li> <li>Mental health hospitals (HP .1.2)</li> <li>Specialised hospitals (other than mental health hospitals).(HP .1.3)</li> </ul> <p><strong>Publicly owned hospitals: </strong>Hospitals that are owned or controlled by a government unit or another public corporation (where control is defined as the ability to determine the general corporate policy).</p> <p><strong>Not-for-profit privately owned hospitals: </strong>Hospitals that are legal or social entities created for the purpose of producing goods and services, whose status does not permit them to be a source of income, profit, or other financial gain for the unit(s) that establish, control or finance them.</p> <p><strong>For-profit privately owned hospitals: </strong><p>Hospitals that are legal entities set up for the purpose of producing goods and services and are capable of generating a profit or other financial gain for their owners.</p> <p><strong>General hospitals (HP.1.1): </strong> comprise licensed establishments primarily engaged in providing general diagnostic and medical treatment (both surgical and non-surgical) to inpatients with a wide variety of medical conditions. These establishments may provide other services, such as outpatient services, anatomical pathology services, diagnostic X-ray services, clinical laboratory services or operating room services for a variety of procedures, and/or pharmacy services, that are usually used by internal patients (intermediate outputs within the hospital treatment) but also by outside patients (see A System of Health Accounts, 2011 Edition).</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,MEASURE=H,UNIT_MEASURE=10P6HB DEFAULT HEALTH_FUNCTION:OECD.ELS.HD:HCL_HEALTH_FUNCTION_REAC(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00190 1.00190 Healthcare provider resources <p>Physical resources and technology in the health sector.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_CARE_PROVIDER=_T,UNIT_MEASURE=10P6HB DEFAULT HEALTH_CARE_PROVIDER:OECD.ELS.HD:HCL_HEALTH_CARE_PROVIDER_REAC(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00010 1.00010 Medical technology availability <p>This dataset provides data on the availability of <strong>medical technology by equipment</strong> (computed tomography scanners, magnetic resonance imaging units, positron emission tomography (PET) scanners, gamma cameras, mammographs, and radiation therapy equipment) and <strong>by sector</strong> (hospitals or ambulatory).</p> <p><strong>Computed Tomography scanners (CT units):</strong> A CT or CAT scanner is an x-ray machine which combines many x-ray images with the aid of a computer to generate cross-sectional views and, if needed, three-dimensional images of the internal organs and structures of the body.</p> <p><strong>Magnetic Resonance Imaging units (MRI units):</strong> MRI is an imaging technique designed to visualise internal structures of the body using magnetic and electromagnetic fields which induce a resonance effect of hydrogen atoms. The electromagnetic emission created by these atoms is registered and processed by a dedicated computer to produce the images of the body structures.</p> <p><strong>Positron Emission Tomography scanner units (PET units):</strong> PET is a highly specialised imaging technique using short-lived radioactive substances. This technique produces three dimensional images which are used mainly for the assessment of cancer spread in a patient's body.</p> <p>A <strong>Gamma camera</strong> (including Single Photon Emission Computed Tomography, SPECT) is used for a nuclear medicine procedure in which the camera rotates around the patient to register gamma rays emission from an isotope injected to the patient's body. The gathered data are processed by a computer to form a tomographic (cross-sectional) image.</p> <p><strong>Mammography machines</strong> (those designed exclusively for taking mammograms). The code is CIM-9 87.37.</p> <p><strong>Radiation therapy equipment</strong>: number of machines used for treatment with x-rays or radionuclide. They include linear accelerators, Cobalt-60 units, Caesium-137 therapy units, low to orthovoltage x-ray units, high dose and low dose rate brachytherapy units and conventional brachytherapy units.</p> <p><strong>Hospitals</strong> sector HP.1 :Hospitals comprise licensed establishments that are primarily engaged in providing medical, diagnostic and treatment services that include physician, nursing and other health services to inpatients and the specialised accommodation services required by inpatients.</p> <p><strong>Ambulatory</strong> healthcare sector HP.3 : This item comprises establishments that are primarily engaged in providing healthcare services directly to outpatients who do not require inpatient services. This includes both offices of general medical practitioners and medical specialists and establishments specialising in the treatment of day-cases and in the delivery of home care services.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG GESTATION_THRESHOLD=_Z,HEALTH_STATUS=_Z,AGE=_T,SOCIO_ECON_STATUS=_Z,DISEASE=_Z,CANCER_SITE=_Z,HEALTH_STATUS=_Z,CALC_METHODOLOGY=_Z,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Avoidable mortality Mortalité évitable This dataset presents data on <b>preventable, treatable and avoidable (preventable + treatable) causes of mortality.</b> Preventable and treatable causes of mortality are defined as follows: <p />- <b><u>Preventable mortality</u></b>: Causes of death that can be mainly avoided through effective public health and primary prevention interventions (i.e. before the onset of diseases/injuries, to reduce incidence). <br />- <b><u>Treatable (or amenable) mortality</u></b>: Causes of death that can be mainly avoided through timely and effective healthcare interventions, including secondary prevention such as screening, and treatment (i.e. after the onset of diseases, to reduce case-fatality). <p />Both indicators refer to premature mortality (under age 75). <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=41dfcc30-110a-4b7a-ac94-d6b8874e27cd">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des données sur les <b>causes de mortalité évitable grâce à la prévention et évitable grâce aux traitements - la mortalité évitable totale étant la somme de ces deux mesures (traitements + prévention).</b> Les causes de mortalité évitable grâce à la prevention et grâce aux traitements sont définies comme suit : <p />- <b><u>Mortalité évitable par la prévention</u></b> : causes de décès qui peuvent être principalement évitées grâce à des interventions efficaces de santé publique et de prévention primaire (c'est-à-dire avant l'apparition de maladies/blessures, pour réduire l'incidence). <br />- <b><u>Mortalité évitable par traitements</u></b> : causes de décès qui peuvent être principalement évitées grâce à des interventions de soins de santé rapides et efficaces, y compris la prévention secondaire telle que le dépistage et le traitement (c'est-à-dire après l'apparition des maladies, pour réduire la létalité). <p />Les deux indicateurs font référence à une mortalité prématurée (moins de 75 ans). <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=41dfcc30-110a-4b7a-ac94-d6b8874e27cd">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Absence from work due to illness Absentéisme au travail pour cause de maladie This dataset presents time series on absence from work due to illness (number of work days lost per year due to illness per employed person, either self-reported or compensated. It excludes maternity leave.) <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3802cd9f-93d2-4f3a-98af-96d1a86b2512">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des séries chronologiques sur l'absentéisme au travail pour cause de maladie (nombre de jours de travail perdus par an pour cause de maladie par personne employée, soit autodéclarés, soit indemnisés. Les congés maternité sont exclus.) <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3802cd9f-93d2-4f3a-98af-96d1a86b2512">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,CANCER_SITE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Cancer Cancer This dataset presents time series on selected cancer incidence rates, per 100 000 population. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2e1edee-6282-4c31-b6e2-543851d8012a">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des séries chronologiques sur les taux d'incidence de certains cancer, pour 100 000 habitants. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2e1edee-6282-4c31-b6e2-543851d8012a">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DISEASE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Communicable diseases Maladies transmissibles This dataset presents time series on Acquired Immunodeficiency Syndrome (AIDS), for the number of AIDS cases and incidence rates per 100 000 population at year of diagnosis. It also includes data on incidence of pertussis, measles, and hepatitis B, in terms of rates of reported cases per 100 000 population. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8d07cc8b-05c9-4cd6-aedf-6eba3fe2be7b">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des séries chronologiques sur le syndrome d'immunodéficience acquise (SIDA), pour le nombre de cas de SIDA et les taux d'incidence pour 100 000 habitants à l'année du diagnostic. Il comprend également des données sur l'incidence de la coqueluche, de la rougeole et de l'hépatite B, en termes de taux de cas signalés pour 100 000 habitants. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8d07cc8b-05c9-4cd6-aedf-6eba3fe2be7b">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DEATH_CAUSE,SEX,AGE,CALC_METHODOLOGY LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,DEATH_CAUSE=_T,CALC_METHODOLOGY=STANDARD DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Causes of mortality Causes de mortalité This dataset presents the number of deaths and age-standardised death rates by causes of deaths. The number of deaths according to sex and selected causes are extracted from the <b>World Health Organization Mortality Database</b> available at <a href="https://www.who.int/data/data-collection-tools/who-mortality-database"></a>. Detailed information on the coverage and reliability of the cause-of-death data is regularly published in World Health Statistics Annuals. <p />The selected <b>causes of death</b> presented in the OECD Health Statistics database are detailed in an Excel file <a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=9506bbe9-c549-4951-8410-757676477e2c" target="_blank">available for download</a>, with codes according to the <b>Tenth revision of the International Classification of Diseases (ICD) along with codes from other ICD revisions used in the WHO Mortality Database.</b> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9070932a-1129-450f-8170-65fc13edcd62">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente le nombre de décès et les taux de mortalité standardisés selon l'âge, par cause de décès. Le nombre de décès selon le sexe et les causes sélectionnées est extrait de la <b>Base de données sur la mortalité de l'Organisation mondiale de la Santé</b> disponible à l'adresse <a href="https://www.who.int/data/data-collection-tools/who-mortality-database"></a>. Des informations détaillées sur la couverture et la fiabilité des données sur les causes de décès sont régulièrement publiées dans les Annuaires des statistiques sanitaires mondiales. <p />Les <b>causes de décès</b> sélectionnées présentées dans la base de données des statistiques de la santé de l'OCDE sont détaillées dans un fichier Excel <a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=9506bbe9-c549-4951-8410-757676477e2c" target="_blank">disponible en téléchargement</a>, avec des codes selon les <b>Dixième révision de la Classification internationale des maladies (CIM) ainsi que les codes d'autres révisions de la CIM utilisés dans la base de données de mortalité de l'OMS.</b> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9070932a-1129-450f-8170-65fc13edcd62">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,GESTATION_THRESHOLD,HEALTH_STATUS,SEX,AGE,SOCIO_ECON_STATUS,DISEASE,CANCER_SITE,CALC_METHODOLOGY LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG GESTATION_THRESHOLD=_Z,HEALTH_STATUS=_Z,SEX=_T,AGE=_T,SOCIO_ECON_STATUS=_Z,DISEASE=_Z,CANCER_SITE=_Z,HEALTH_STATUS=_Z,CALC_METHODOLOGY=_Z,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED MEASURE=LFEXP,AGE=Y0,TIME_PERIOD_START=2015,UNIT_MEASURE=Y DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Health status État de santé This dataset presents core population health indicators, covering life expectancy; mortality indicators such as causes of mortality (by ICD codes), maternal and infant mortality, avoidable (preventable + treatable) mortality; potential years of life lost; perceived health status (also disaggregated by socio-economic status and education level); low birthweight; incidence of key communicable diseases; cancer incidence; injuries in road traffic accidents; and absence from work due to illness. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9dc6e690-fa1d-40fa-a279-b726e2616433">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des indicateurs de santé de base de la population, couvrant l'espérance de vie ; des indicateurs de mortalité tels que les causes de mortalité (par codes CIM), la mortalité maternelle et infantile, la mortalité évitable (évitable + traitable) ; les années potentielles de vie perdues ; l'état de santé perçu (également ventilé par statut socio-économique et niveau d'éducation) ; le faible poids à la naissance ; l'incidence des principales maladies transmissibles ; l'incidence du cancer ; les blessures dans les accidents de la route ; et l'absence au travail pour cause de maladie. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9dc6e690-fa1d-40fa-a279-b726e2616433">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG GESTATION_THRESHOLD=_Z,HEALTH_STATUS=_Z,SEX=_T,AGE=_T,SOCIO_ECON_STATUS=_Z,DISEASE=_Z,CANCER_SITE=_Z,HEALTH_STATUS=_Z,CALC_METHODOLOGY=_Z,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Injuries Accidents This dataset presents time series on injuries in road traffic accidents (number of people injured in road traffic accidents per million population.) <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2057d8ba-4e8b-4adf-b65b-7f4be8fac837">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des séries chronologiques sur les blessures causées par les accidents de la route (nombre de personnes blessées dans les accidents de la route par million d'habitants). <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2057d8ba-4e8b-4adf-b65b-7f4be8fac837">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Infant health: low birthweight Santé du nourrisson : faible poids à la naissance This dataset presents time series on the number of live births weighing less than 2500 grams as a percentage of the total number of live births. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8f1351f9-95d4-4ede-8118-bace54051bc0">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des séries chronologiques sur le nombre de naissances vivantes pesant moins de 2 500 grammes en pourcentage du nombre total de naissances vivantes. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8f1351f9-95d4-4ede-8118-bace54051bc0">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG GESTATION_THRESHOLD=_Z,HEALTH_STATUS=_Z,SOCIO_ECON_STATUS=_Z,DISEASE=_Z,CANCER_SITE=_Z,HEALTH_STATUS=_Z,CALC_METHODOLOGY=_Z,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,AGE=Y0 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Life expectancy Espérance de vie This dataset presents data on life expectancy at birth, and at ages 40, 60, 65 and 80 years old. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3607ac98-7466-4ea2-9f96-5410382b1497">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des données sur l'espérance de vie à la naissance et à 40, 60, 65 et 80 ans. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3607ac98-7466-4ea2-9f96-5410382b1497">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,GESTATION_THRESHOLD LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG GESTATION_THRESHOLD=_Z,HEALTH_STATUS=_Z,SEX=_T,AGE=_T,SOCIO_ECON_STATUS=_Z,DISEASE=_Z,CANCER_SITE=_Z,HEALTH_STATUS=_Z,CALC_METHODOLOGY=_Z,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=INM DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Maternal and infant mortality Mortalité infantile et maternelle This dataset presents time series on infant, neonatal, perinatal and maternal mortality. Data for infant and neonatal mortality are presented either with no minimum threshold of gestation period or birthweight, or following the minimum threshold of 22 weeks (or 500 grams birthweight) <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9dc8f6ca-5c8d-4352-b81d-3baa28fdd000">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des séries chronologiques sur la mortalité infantile, néonatale, périnatale et maternelle. Les données sur la mortalité infantile et néonatale sont présentées soit sans seuil minimum de durée de gestation ni de poids à la naissance, soit en suivant le seuil minimum de 22 semaines (ou 500 grammes de poids à la naissance). <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9dc8f6ca-5c8d-4352-b81d-3baa28fdd000">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true MEASURE,REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_STATUS,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,HEALTH_STATUS=G,SEX=_T,AGE=Y_GE15 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Perceived health status Perception de l'état de santé This dataset presents data on <b>perceived health status</b> (percentage of the population, aged 15 years old and over who report their health to be ‘good/very good' (or excellent) (all positive response categories), ‘fair’ (not good, not bad), ‘bad/very bad’ (all negative response categories). It also includes data on <b>perceived health status by age and gender</b> (percentage of the population who report their health to be 'good/very good' (or excellent), for various age groups). <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3627d99d-fb9f-40e1-98a0-20f19c80ac5f">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des données sur l'<b>état de santé perçu</b> (pourcentage de la population âgée de 15 ans et plus qui déclare que son état de santé est « bon/très bon » (ou excellent) (toutes les catégories de réponses positives), « passable » (ni bon ni mauvais), « mauvais/très mauvais » (toutes les catégories de réponses négatives). Il comprend également des données sur l'<b>état de santé perçu selon l'âge et le sexe</b> (pourcentage de la population qui déclare que son état de santé est « bon/très bon » (ou excellent), pour différentes tranches d'âge). <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3627d99d-fb9f-40e1-98a0-20f19c80ac5f">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true MEASURE,REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_STATUS,SEX,AGE,SOCIO_ECON_STATUS LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,HEALTH_STATUS=G,SEX=_T,AGE=Y_GE15,SOCIO_ECON_STATUS=Q1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Perceived health status by socio-economic status Perception de l'état de santé selon le statut socio-économique This dataset presents data on <b>perceived health status by income quintile</b> (the proportion of persons aged 15 years old and over within the highest and lowest income quintiles who report their health to be ‘good/very good’). <b>Quintile 1 (Lowest 20% of income group)</b> and <b>Quintile 5 (Highest 20% of income group)</b> are taken into account. <p />This dataset also includes data on <b>perceived health status by education level</b> (proportion of persons aged 15 years old and over by level of education who report their health to be “good” or “better”.) The following education levels are taken into account: Low education (ISCED 0 to 2), Medium education (ISCED 3 and 4), and High education (ISCED 5 to 8). <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8a7730a3-44ce-46d0-b736-e8dc255d654d">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des données sur <b>l'état de santé perçu par quintile de revenu</b> (la proportion de personnes âgées de 15 ans et plus dans les quintiles de revenu le plus élevé et le plus bas qui déclarent que leur santé est « bonne/très bonne »). Le <b>Quintile 1 (20 % du groupe de revenu le plus bas)</b> et le <b>Quintile 5 (20 % du groupe de revenu le plus élevé)</b> sont pris en compte. <p />Cet ensemble de données comprend également des données sur <b>l'état de santé perçu par niveau d'éducation</b> (proportion de personnes âgées de 15 ans et plus par niveau d'éducation qui déclarent que leur santé est « bonne » ou « meilleure ».) Les niveaux d'éducation suivants sont pris en compte : faible niveau d'éducation (CITE 0 à 2), niveau d'éducation moyen (CITE 3 et 4) et niveau d'éducation élevé (CITE 5 à 8). <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8a7730a3-44ce-46d0-b736-e8dc255d654d">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true MEASURE,REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DEATH_CAUSE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,DEATH_CAUSE=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Potential years of life lost Années potentielles de vie perdues <b>Potential Years of Life Lost (PYLL)</b> is a summary measure of premature mortality which provides an explicit way of weighting deaths occurring at younger ages, which are, a priori, preventable. The calculation of PYLL involves summing up deaths occurring at each age and multiplying this with the number of remaining years to live up to a selected age limit. The <b>limit of 75 years</b> has been chosen for the calculations in OECD Health Statistics. <p />The selected <b>ICD categories</b> presented in the OECD Health Statistics database are detailed in an Excel file <a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=9506bbe9-c549-4951-8410-757676477e2c" target="_blank">available for download</a>, with codes according to the <b>Tenth revision of the International Classification of Diseases (ICD) along with codes from other ICD revisions used in the WHO Mortality Database.</b> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2b922b3-19f8-4454-b74f-5184c034c6f8">Sources and Methods</a> for detailed country-specific information. Les <b>Années potentielles de vie perdues (APVP)</b> sont une mesure synthétique de la mortalité prématurée qui fournit un moyen explicite de pondérer les décès survenant à des âges plus jeunes, qui sont, a priori, évitables. Le calcul des APVP consiste à additionner les décès survenus à chaque âge et à multiplier ce résultat par le nombre d'années restantes pour vivre jusqu'à une limite d'âge sélectionnée. La <b>limite de 75 ans</b> a été choisie pour les calculs dans la base de données des statistiques de la santé de l'OCDE. <p />Les <b>catégories CIM</b> sélectionnées présentées dans la base de données des statistiques de la santé de l'OCDE sont détaillées dans un fichier Excel <a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=9506bbe9-c549-4951-8410-757676477e2c" target="_blank">disponible en téléchargement</a>, avec les codes selon les <b>Dixième révision de la Classification internationale des maladies (CIM) ainsi que les codes d'autres révisions de la CIM utilisés dans la base de données de mortalité de l'OMS.</b> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2b922b3-19f8-4454-b74f-5184c034c6f8">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW HEALTH_PROF,TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE,TRAINING_PLACE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_NOTE LASTNPERIODS=5,UNIT_MEASURE=PT_WR_PRF_HLTH DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Health workforce migration Migration du personnel de santé Internationally comparable statistics on medical staff (doctors and nurses) and whether they are domestically-trained or foreign-trained. <p />Data on the native-born but foreign-trained persons are available when selecting 1) Origin: all, 2) Unit of measure: Persons, and 3) Measure: Health workforce, native-born stock. Statistiques comparables au niveau international sur le personnel médical (médecins et personnel infirmier), et indiquant s'il est formé dans le pays ou à l'étranger. <p />Des données sur les personnes nées dans le pays mais formées à l'étranger sont disponibles avec la selection suivante : 1) Origine : toutes, 2) Unité de mesure : Personnes, et 3) Mesure : Personnel de santé, stock né dans le pays. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN MEASURE=PART_I+PART_II+PART_III NOT_DISPLAYED MEASURE=Q1ITEM1+Q1ITEM2+Q1ITEM3+Q1ITEM4+Q2+Q2SUBITEM1+Q3+Q4+Q5+Q6+Q7 DEFAULT Health System Characteristics Survey - 2023 Round Enquête sur les caractéristiques des systèmes de santé - cycle 2023 <div class="col-sm-6"> <h3>The 2023 round of the OECD Health Committee survey on Health System Characteristics</h3> <p> The main characteristics of health systems of OECD countries and accession countries are available in one dataset on a dedicated webpage. The dataset consists of results for the 2023 round of the Health System Characteristics survey as provided by countries, between July - Novemeber 2023. </p> <h3>How to access the data</h3> <p> Depending on the query of interest, the user can “select all” filters or refine the search according to the following criteria: </p> <ul> <li>Country (32 member countries and one accession country)</li> <li>Questions (by domain: health financing, health care delivery, governance)</li> </ul> <p> Please note that when the user creates a table, active filters are shown in bold. After a selection is made in one filter, the other filters automatically display only elements where data are available in bold. The data can be displayed online or downloaded in an excel format file. If there is any inconsistency in the results shown, the user could inform the OECD Secretariat by sending a message at the following address: <a href="mailto:HSCS.health@oecd.org">HSCS.health@oecd.org</a> </p> </div> <div class="col-sm-6"> <h3>Links</h3> <p><a href="http://www.oecd.org/els/health-systems/OECD-HSC-Survey-2023-Questionnaire.pdf" target="_blank">Survey PDF - OECD</a></p> <p><a href="http://www.oecd.org/els/health-systems/characteristics.htm" target="_blank">Health Systems Characteristics</a></p> </div> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN ROUND_HSCS LAYOUT_ROW_SECTION MEASURE=PARTONE+PARTTWO+PARTTHREE NOT_DISPLAYED MEASURE=Q1ITEM1+Q1ITEM2+Q1ITEM3+Q1ITEM4+Q2+Q2SUBITEM1+Q3+Q4+Q5+Q6+Q7+Q9+Q10 DEFAULT Health System Characteristics Survey 2012, 2016 and 2018(LAC) Rounds Enquête sur les caractéristiques des systèmes de santé 2012, 2016 et 2018 <div class="col-sm-6"> <h3>The first Health System Characteristics online database</h3> <p> For the first time, the main characteristics of health systems of OECD countries and key partners and accession countries are available in one dataset on a dedicated webpage. The dataset consists of results for the 2016 round of the Health System Characteristics survey as provided by countries, as well as results for the 2012 round of the survey. A new round of survey for Latin-American countries has been held in 2018. </p> <h3>How to access the data</h3> <p> Depending on the query of interest, the user can “select all” filters or refine the search according to the following criteria: </p> <ul> <li>Country (35 member countries and two key partner countries and 21 Latin-American countries)</li> <li>Version of the survey (2016 and 2012 for the OECD, key partners and accession countries, 2018 for the Latin-American countries)</li> <li>Questions (by domain: health financing, health care delivery, governance)</li> </ul> <p> Please note that when the user creates a table, active filters are shown in bold. After a selection is made in one filter, the other filters automatically display only elements where data are available in bold. The data can be displayed online or downloaded in an excel format file. If there is any inconsistency in the results shown, the user could inform the OECD Secretariat by sending a message at the following address: <a href="mailto:HSCS.health@oecd.org">HSCS.health@oecd.org</a> </p> </div> <div class="col-sm-6"> <h3>Methodology</h3> <p> The 2016 wave of the Health System Characteristics Survey has been designed following three guiding principles: </p><ul> <li>Reduce the data collection burden on countries;</li> <li>Facilitate the data collection process and exchange with countries; and</li> <li>Shorten the delay to publish collected data</li> </ul> The 2018 data collection, following the same principles, has been made in cooperation with the InterAmerican Development Bank. <p></p> <p> Through an online platform Health System Characteristics Community, national correspondents had access to all relevant information concerning the 2016 survey, were able to communicate directly with the Secretariat and other national correspondents as well as download the Data Survey Tool. To reduce the data collection burden on countries, the Data Survey Tool consisted of tables pre-filled with responses from 2012. Countries could either validate the response given in 2012 or update responses if changes have occurred since the previous round of data collection. Responses were submitted to the OECD Secretariat by uploading tables on to the online Community. </p> <h3>Links</h3> <p><a href="http://www.oecd.org/els/health-systems/OECD-HSC-Survey-2016-Project-outline.pdf" target="_blank">Project outline - OECD</a></p> <p><a href="http://www.oecd.org/els/health-systems/OECD-HSC-Survey-2012-Questionnaire.pdf" target="_blank">2012 Survey PDF - OECD</a></p> <p><a href="http://www.oecd.org/els/health-systems/OECD-HSC-Survey-2016-Questionnaire.pdf" target="_blank">2016 Survey PDF - OECD</a></p> <p><a href="http://www.oecd.org/els/health-systems/HSC_LAC2018.xlsm" target="_blank">2018 Survey XLSM – Latin-American Countries</a></p> <p><a href="http://www.oecd.org/els/health-systems/OECD-HSC-Survey-2016-Glossary.pdf" target="_blank">Glossary</a></p> <p><a href="http://www.oecd.org/els/health-systems/characteristics.htm" target="_blank">Health Systems Characteristics</a></p> </div> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN PRICE_BASE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,UNIT_MEASURE=XDC NOT_DISPLAYED TIME_PERIOD_START=2015,FINANCING_SCHEME=_T,PROVIDER=_T,FUNCTION=_T,MEASURE=EXP_HEALTH,UNIT_MEASURE=PT_B1GQ DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00040 SEARCH_WEIGHT Health expenditure and financing Dépenses de santé et financement A System of Health Accounts 2011 provides an updated and systematic description of the financial flows related to the consumption of health care goods and services. As demands for information increase and more countries implement and institutionalise health accounts according to the system, the data produced are expected to be more comparable, more detailed and more policy relevant. It builds on the original OECD Manual, published in 2000 to create a single global framework for producing health expenditure accounts that can help track resource flows from sources to uses. It is the result of a collaborative effort between the OECD, WHO and the European Commission, and sets out in more detail the boundaries, the definitions and the concepts – responding to health care systems around the globe – from the simplest to the more complicated. The accounting framework is organised around a tri-axial system for the recording of health care expenditure, namely classifications of the functions of health care (ICHA-HC), health care provision (ICHA-HP), and financing schemes (ICHA-HF). A System of Health Accounts 2011 provides an updated and systematic description of the financial flows related to the consumption of health care goods and services. As demands for information increase and more countries implement and institutionalise health accounts according to the system, the data produced are expected to be more comparable, more detailed and more policy relevant. It builds on the original OECD Manual, published in 2000 to create a single global framework for producing health expenditure accounts that can help track resource flows from sources to uses. It is the result of a collaborative effort between the OECD, WHO and the European Commission, and sets out in more detail the boundaries, the definitions and the concepts – responding to health care systems around the globe – from the simplest to the more complicated. The accounting framework is organised around a tri-axial system for the recording of health care expenditure, namely classifications of the functions of health care (ICHA-HC), health care provision (ICHA-HP), and financing schemes (ICHA-HF). NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN PRICE_BASE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,UNIT_MEASURE=XDC NOT_DISPLAYED TIME_PERIOD_START=2010,PROVIDER=HP1,FACTOR_PROVISION=FP1,UNIT_MEASURE=PT_EXP_PRV DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00020 SEARCH_WEIGHT Input costs for healthcare providers Coût des intrants de prestations de soins de santé This dataset shows how much health providers spend on the inputs needed to produce healthcare goods and services (factors of provision). This information is typically tracked at national aggregate levels to meet the need to ensure an efficient, appropriate allocation of resources in the production of health care services. Specific policy needs may require information regarding total payments for human resources, expenditure on pharmaceuticals, and other significant inputs. Furthermore, the financial planning of health programmes and services often relies on information about the volume and mixture of factor spending. This dataset shows how much health providers spend on the inputs needed to produce healthcare goods and services (factors of provision). This information is typically tracked at national aggregate levels to meet the need to ensure an efficient, appropriate allocation of resources in the production of health care services. Specific policy needs may require information regarding total payments for human resources, expenditure on pharmaceuticals, and other significant inputs. Furthermore, the financial planning of health programmes and services often relies on information about the volume and mixture of factor spending. NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD,FINANCING_SCHEME_REV LAYOUT_COLUMN PRICE_BASE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,UNIT_MEASURE=XDC NOT_DISPLAYED TIME_PERIOD_START=2015,UNIT_MEASURE=PT_EXP_FS,FINANCING_SCHEME=_T,FINANCING_SCHEME_REV=FS1+FS3,MEASURE=REVENUE DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00030 SEARCH_WEIGHT Revenues of healthcare financing schemes Recettes des régimes de financement des soins A key set of information for policy analysis is i) how much revenue is collected; ii) in what ways is it collected; iii) from which institutional units of the economy are revenues raised for each particular financing scheme; and iv) which financing schemes receive those revenues. This dataset provides information about the contribution mechanisms the particular financing schemes use to raise their revenues. Understanding the nature of the flows is of importance from the perspective of both health and public finance policy. For example, the classification of revenues make it possible to distinguish between public and private funding of health care finance. Understanding how resources are raised by financing schemes is important for many countries, as many health systems are struggling with the issue of funding. The classification of revenues of financing schemes is suitable for tracking the collection mechanisms of a financing framework. Furthermore, the new classification makes it possible to analyse the contribution of the institutional units to health financing. A key set of information for policy analysis is i) how much revenue is collected; ii) in what ways is it collected; iii) from which institutional units of the economy are revenues raised for each particular financing scheme; and iv) which financing schemes receive those revenues. This dataset provides information about the contribution mechanisms the particular financing schemes use to raise their revenues. Understanding the nature of the flows is of importance from the perspective of both health and public finance policy. For example, the classification of revenues make it possible to distinguish between public and private funding of health care finance. Understanding how resources are raised by financing schemes is important for many countries, as many health systems are struggling with the issue of funding. The classification of revenues of financing schemes is suitable for tracking the collection mechanisms of a financing framework. Furthermore, the new classification makes it possible to analyse the contribution of the institutional units to health financing. NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN PRICE_BASE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,UNIT_MEASURE=XDC NOT_DISPLAYED TIME_PERIOD_START=2015,UNIT_MEASURE=PT_B1GQ,PROVIDER=_T,ASSET_TYPE=_T,MEASURE=CAPITAL_FORM DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00010 SEARCH_WEIGHT Gross fixed capital formation in the healthcare system Formation brute de capital fixe dans le système de santé Gross fixed capital formation in the health care system is measured by the total value of the fixed assets that health providers have acquired during the accounting period (less the value of the disposals of assets) and that are used repeatedly or continuously for more than one year in the production of health services. While human resources are essential to the health and long-term care sector, physical resources are also a key factor in the production of health services. How much a country invests in new health facilities, diagnostic and therapeutic equipment, and information and communications technology (ICT) can have an important impact on the capacity of a health system to meet the healthcare needs of the population. Having sufficient equipment in intensive care units and other health settings helps to avoid potentially catastrophic delays in diagnosing and treating patients. Non-medical equipment is also important, notably the IT infrastructure needed to better monitor population health, both in acute situations and in the long term. Investing in capital equipment is therefore a prerequisite to strengthening overall health system resilience. Gross fixed capital formation in the health care system is measured by the total value of the fixed assets that health providers have acquired during the accounting period (less the value of the disposals of assets) and that are used repeatedly or continuously for more than one year in the production of health services. While human resources are essential to the health and long-term care sector, physical resources are also a key factor in the production of health services. How much a country invests in new health facilities, diagnostic and therapeutic equipment, and information and communications technology (ICT) can have an important impact on the capacity of a health system to meet the healthcare needs of the population. Having sufficient equipment in intensive care units and other health settings helps to avoid potentially catastrophic delays in diagnosing and treating patients. Non-medical equipment is also important, notably the IT infrastructure needed to better monitor population health, both in acute situations and in the long term. Investing in capital equipment is therefore a prerequisite to strengthening overall health system resilience. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3,PHARMACEUTICAL_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED MARKET_TYPE=_T,TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Generic market Marché des génériques A generic is a pharmaceutical product which has the same qualitative and quantitative composition in active substances and the same pharmaceutical form as the reference medicinal product, and whose bioequivalence with the reference medicinal product has been demonstrated by appropriate bioavailability studies. Generics can be classified in branded generics (generics with a specific trade name) and unbranded generics (which use the international non-proprietary name and the name of the company). <p /> Data are reported for the Third-party-payer market (sub-market in which a third-party payer reimburses medicines); the Community pharmacy market (healthcare facility dispensing medicines, i.e. prescription-only medicines, i.e. POM, and OTC, reimbursable and non-reimbursable medicines, to out-patients); and the Hospital pharmaceutical market (see SHA definition for H.P.1.). <p /> Data are collected as a share expressed in value and in volume. Values can for instance be the turnover of pharmaceutical companies, the amount paid for pharmaceuticals by third-party payers, or the amount paid by all payers (third-party and consumers). Market value are most often at ex-factory prices, while amounts paid by third-party payers (and consumers) are in general at retails prices. Volumes can be expressed in DDDs or as a number of packages/boxes or standard units. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4c170032-1dcd-4324-a541-dcba0ac7ec38">Sources and Methods</a> for detailed country-specific information. Un générique est un produit pharmaceutique qui présente la même composition qualitative et quantitative en substances actives et la même forme pharmaceutique que le médicament de référence, et dont la bioéquivalence avec le médicament de référence a été démontrée par des études de biodisponibilité appropriées. Les génériques peuvent être classés en génériques de marque (génériques avec un nom commercial spécifique) et en génériques sans marque (qui utilisent la dénomination commune internationale et le nom de la société). <p /> Les données sont reportées pour le marché du tiers payant (sous-marché dans lequel un tiers payant rembourse les médicaments) ; le marché des pharmacies de ville (établissements de santé délivrant des médicaments, c'est-à-dire des médicaments délivrés uniquement sur ordonnance, à savoir des médicaments POM, et des médicaments OTC, remboursables et non-remboursables, à des patients ambulatoires) ; et le marché pharmaceutique hospitalier (voir la définition SHA pour H.P.1.). <p /> Les données sont collectées sous forme de part exprimée en valeur et en volume. Les valeurs peuvent par exemple être le chiffre d'affaires des sociétés pharmaceutiques, le montant payé pour les produits pharmaceutiques par les tiers payants ou le montant payé par tous les payeurs (tiers et consommateurs). La valeur marchande est le plus souvent aux prix départ usine, tandis que les montants payés par les tiers payants (et les consommateurs) sont généralement aux prix de détail. Les volumes peuvent être exprimés en DQD ou en nombre de colis/boîtes ou d'unités standards. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4c170032-1dcd-4324-a541-dcba0ac7ec38">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3,PHARMACEUTICAL_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2010,PHARMACEUTICAL=N06A,UNIT_MEASURE=DDD_10P3HB DEFAULT Pharmaceutical market Marché pharmaceutique This dataset reports data on pharmaceutical consumption and sales, according to the Anatomical Therapeutic Chemical (ATC) classification, and on the share of generics in the pharmaceutical market. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=83ed1566-a811-4c7f-9a76-857badfe83e2">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données rapporte des données sur la consommation et les ventes de produits pharmaceutiques, selon la classification Anatomique, Thérapeutique et Chimique (ATC), et sur la part des génériques dans le marché pharmaceutique. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=83ed1566-a811-4c7f-9a76-857badfe83e2">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3,PHARMACEUTICAL_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED PHARMACEUTICAL=J01,TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Pharmaceutical consumption Consommation de médicaments Total pharmaceutical consumption according to the Anatomical Therapeutic Chemical (ATC) classification/Defined Daily Dose (DDD) system, created by the WHO Collaborating Centre for Drug Statistics Methodology. The unit of measurement is Defined Daily Dose (DDD), defined as the assumed average maintenance dose per day for a drug used on its main indication in adults. <p /> The Anatomical Therapeutic Chemical classification system divides drugs into different groups according to the organ system on which they act and/or therapeutical, pharmacological and chemical characteristics. The main principles for the classification of medicinal substances according to the ATC is presented in the publication “Guidelines for ATC classification and DDD assignment”, WHO Collaborating Centre for Drug Statistics Methodology, Oslo. The publication “ATC Index with DDDs” lists all assigned ATC codes and DDD values. Both these publications are updated annually. <p /> The ATC codes are based on the 2024 version of the ATC Index. All alterations implemented from January 2024 are available on the WHO Collaborating Centre for Drug Statistics Methodology website at https://www.whocc.no/lists_of__temporary_atc_ddds_and_alterations/. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6f2bfdca-6a41-4b50-9b47-b0a1a7d12a1e">Sources and Methods</a> for detailed country-specific information. Data should reflect, where possible, the total consumption for each pharmaceutical drug category, i.e. including consumption in hospitals. Consommation pharmaceutique totale selon le système de classification Anatomique, Thérapeutique et Chimique (ATC)/Dose Quotidienne Définie (DQD), créé par le Centre collaborateur de l'OMS pour la méthodologie sur les statistiques pharmaceutiques. L'unité de mesure est la Dose Quotidienne Définie (DQD), définie comme la dose d'entretien moyenne supposée par jour pour un médicament utilisé dans son indication principale chez l'adulte. <p /> Le système de classification Anatomique, Thérapeutique et Chimique divise les médicaments en différents groupes selon le système organique sur lequel ils agissent et/ou leurs caractéristiques thérapeutiques, pharmacologiques et chimiques. Les grands principes de la classification des substances médicamenteuses selon l'ATC sont présentés dans la publication « Guidelines for ATC classification and DDD assignment », Centre collaborateur de l'OMS pour la méthodologie sur les statistiques pharmaceutiques, Oslo. La publication « ATC Index with DDD » répertorie tous les codes ATC et valeurs DQD attribués. Ces deux publications sont mises à jour chaque année. <p /> Les codes ATC sont basés sur la version 2024 de l'index ATC. Toutes les modifications mises en œuvre à partir de janvier 2024 sont disponibles sur le site web du Centre collaborateur de l'OMS pour la méthodologie sur les statistiques pharmaceutiques à l'adresse https://www.whocc.no/lists_of__temporary_atc_ddds_and_alterations/. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6f2bfdca-6a41-4b50-9b47-b0a1a7d12a1e">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. Les données doivent refléter, dans la mesure du possible, la consommation totale pour chaque catégorie de médicaments pharmaceutiques, c'est-à-dire y compris la consommation dans les hôpitaux. NonProductionDataflow true REF_AREA,UNIT_MULT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3,PHARMACEUTICAL_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED PHARMACEUTICAL=_T,UNIT_MEASURE=USD_PPP_PS,TIME_PERIOD_START=2010 DEFAULT Pharmaceutical sales Ventes de médicaments Total sales of pharmaceutical products on the domestic market, in total and by selected Anatomical Therapeutic Chemical (ATC) classification groups, based on retail prices (i.e. the final price paid by the customer). <p /> The ATC codes are based on the 2024 version of the ATC Index. All alterations implemented from January 2024 are available on the WHO Collaborating Centre for Drug Statistics Methodology website at http://www.whocc.no/atc/lists_of_new_atc_ddds_and_altera/alterations_in_atc_ddd/. <p /> Note: There are at least three possible sources of under-reporting of drug sales in different countries: 1) sales data may only cover those drugs that are reimbursed by public insurance schemes; 2) they may be based on ex-factory or wholesale prices rather than retail prices; and 3) sales data may exclude drug consumption in hospitals. Data should reflect total sales for each drug category, based on retail prices, and including sales in hospitals where possible. Also, sales data should include all drugs regardless of whether they are reimbursed or not. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=64dd2802-d0a6-4f1f-acad-a00cc4d17689">Sources and Methods</a> for detailed country-specific information. Ventes totales de produits pharmaceutiques sur le marché intérieur, pour le total et par certains groupes selon la classification Anatomique, Thérapeutique et Chimique (ATC), sur la base des prix de détail (c'est-à-dire le prix final payé par le client). <p /> Les codes ATC sont basés sur la version 2024 de l'indice ATC. Toutes les modifications mises en œuvre à partir de janvier 2024 sont disponibles sur le site web du Centre collaborateur de l'OMS pour la méthodologie sur les statistiques pharmaceutiques à l'adresse http://www.whocc.no/atc/lists_of_new_atc_ddds_and_altera/alterations_in_atc_ddd/. <p /> Remarque : Il existe au moins trois sources possibles de sous-déclaration des ventes de médicaments dans différents pays : 1) les données sur les ventes peuvent couvrir uniquement les médicaments remboursés par les régimes d'assurance publics ; 2) ils peuvent être basés sur les prix départ usine ou prix de gros plutôt que sur les prix de détail ; et 3) les données sur les ventes peuvent exclure la consommation de médicaments dans les hôpitaux. Les données doivent refléter les ventes totales pour chaque catégorie de médicaments, sur la base des prix de détail, et inclure les ventes dans les hôpitaux lorsque cela est possible. En outre, les données sur les ventes doivent inclure tous les médicaments, qu’ils soient remboursés ou non. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=64dd2802-d0a6-4f1f-acad-a00cc4d17689">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED MEASURE=B11,CITIZENSHIP=W,TIME_PERIOD_START=2012,SEX=_T DEFAULT International migration database Base de données sur les migrations internationales This dataset includes annual series on flows of the foreign population and of asylum seekers by nationality, stocks of the total immigrant population (foreign populations by nationality and foreign-born populations by country of birth) as well as acquisitions of nationality by former nationality. Most of these data have been provided by national correspondents of the OECD Expert Group on Migration. They are based on national concepts and definitions and therefore are not fully comparable across countries. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,EDUCATION_LEV,BIRTH_PLACE LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED LASTNPERIODS=2 DEFAULT EDUCATION_LEV:OECD.ELS.IMD:HCL_EDU_LEVEL(1.0).H HIER_CONTEXT Labour market outcomes of immigrants - Employment rates by educational attainment Résultats des immigrés sur le marché du travail - Taux d'emploi par niveau d’éducation NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,SEX,BIRTH_PLACE LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED LASTNPERIODS=2,MEASURE=EMP_WAP DEFAULT Labour market outcomes of immigrants - Employment, unemployment, and participation rates by sex Résultats des immigrés sur le marché du travail - Taux d'emploi, de chômage et de participation par sexe NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED BIRTH_COUNTRY=AUS,TIME_PERIOD_START=2012,SEX=_T DEFAULT International migration database - stocks of foreign-born population Base de données sur les migrations internationales - stock de population étrangère This dataset includes annual series on flows of the foreign population and of asylum seekers by nationality, stocks of the total immigrant population (foreign populations by nationality and foreign-born populations by country of birth) as well as acquisitions of nationality by former nationality. Most of these data have been provided by national correspondents of the OECD Expert Group on Migration. They are based on national concepts and definitions and therefore are not fully comparable across countries. NonProductionDataflow true MIGRATION_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED LASTNPERIODS=10 DEFAULT Harmonised flows - internal database Flux harmonisés - base de données interne NonProductionDataflow true MIGRATION_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED LASTNPERIODS=10 DEFAULT Standardised inflows of permanent-type migrants Flux standardisés de migrants de type permanent This database provides annual estimates of permanent migration inflows to OECD countries by category of migration. The estimates are mainly based on the number of newly granted permits/visas issued to foreign citizens, provided by NSOs or Ministerial statistical services.New permanent migrants are classified into 5 categories of migration depending on the grounds for approval of their permit/visa (labour, accompanying family of workers, family reunification, humanitarian reasons and other national cases).In addition, the database provides annual estimates of the number of individuals who migrated long-term under a free-mobility agreement based on alternative sources. NonProductionDataflow true MIGRATION_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED LASTNPERIODS=10 DEFAULT Standardised inflows of temporary migrants Flux standardisés de migrants temporaires <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>This database provides estimates of annual temporary migration flows to OECD countries. The estimates are mainly based on the number of newly granted permits/visas issued to foreign citizens, provided by NSOs or Ministerial statistical services.</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>Temporary migration flows are classified into 6 groups: international students newly registered in a tertiary education programme; migrants participating in a work-travel exchange programs; intra-corporate transferees; trainees; seasonal foreign workers; and other foreign workers participating in national temporary migration programmes.</p> <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><strong>Note that selected temporary movements are excluded from our estimates of temporary migration inflows.</strong> These are: tourists; crews; persons in transit; business visitors; diplomats; journalists; job-search visa holders; religious workers; sportspersons; artists; performers; posted workers.</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>Short-term movements under free-movement agreements are not included in this dataset. Asylum seekers are not included in this data set. See the following <a href="https://stat.link/og27ea">tables</a>.</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>Ukrainians under the Temporary Protection Directive are not included in this data set.</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><strong>Further information:</strong> <a href="https://www.oecd.org/en/publications/international-migration-outlook-2023_b0f40584-en.html">International Migration Outlook</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,VERSION LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2000,MEASURE=EPL_OV,VERSION=VERSION4 DEFAULT Strictness of employment protection Rigueur de la protection emploi The OECD indicators of employment protection are synthetic indicators of the strictness of regulation on dismissals and the use of temporary contracts. For each year, indicators refer to regulation in force on the 1st of January. <br><br>For more information and full methodology, see<br><a href="https://www.oecd.org/employment/emp/oecdindicatorsofemploymentprotection.htm">OECD Indicators of Employment Protection webpage</a><br><b>Last data update: May 2022</b><br><br>OECD statistics contact: <a href="mailto:ELS.Contact@oecd.org">ELS.Contact@oecd.org</a> Les indicateurs de l'OCDE de la protection de l'emploi sont des indicateurs synthétiques de la rigueur de la réglementation sur les licenciements et l'utilisation des contrats temporaires. Pour chaque année, les indicateurs portent sur la réglementation en vigueur le 1er janvier. <br><br>Pour plus d'informations et la méthodologie complète, voir<br><a href="https://www.oecd.org/employment/emp/oecdindicatorsofemploymentprotection.htm">Page web OECD Indicators of Employment Protection</a><br><b>Dernière mise à jour : Mai 2022</b><br><br>OECD statistics contact: <a href="mailto:ELS.Contact@oecd.org">ELS.Contact@oecd.org</a> NonProductionDataflow true PROGRAMME LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MULT LAYOUT_ROW_SECTION CONF_STATUS=F,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,MEASURE=EXP,UNIT_MEASURE=PT_B1GQ DEFAULT Labour Market Programmes Programmes du marché du travail Labour market policy (LMP) database provides information on active labour market policies and social security systems explicitly targeted to people with difficulties in the labour market: the unemployed, people at risk of involuntary job loss and inactive people who would like to enter the labour market. <br><br>For more information, see <a href="https://web-archive.oecd.org/2022-09-16/120573-Coverage-and-classification-of-OECD-data.pdf">Coverage and classification of the OECD data on labour market programmes</a><br><b>Last data update: October 2023</b><br><br>OECD statistics contact: <a href="mailto:ELS.Contact@oecd.org">ELS.Contact@oecd.org</a> La base de données sur les politiques du marché du travail (PMT) fournit des informations sur les politiques actives du marché du travail et les systèmes de sécurité sociale explicitement destinés aux personnes ayant des difficultés sur le marché du travail : les chômeurs, les personnes risquant de perdre involontairement leur emploi et les personnes inactives qui souhaiteraient entrer sur le marché du travail. <br><br>Pour plus d'information, voir (en anglais) <a href="https://web-archive.oecd.org/2022-09-16/120573-Coverage-and-classification-of-OECD-data.pdf">Coverage and classification of the OECD data on labour market programmes</a><br><b>Dernière mise à jour : Octobre 2023</b><br><br>Contact pour les statistiques de l'OCDE : <a href="mailto:ELS.Contact@oecd.org">ELS.Contact@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNOBSERVATIONS=5 DEFAULT Historical gross replacement rates of unemployment benefits Taux de remplacement bruts historiques des allocations de chômage Gross replacement rates (GRR) measure gross unemployment benefit levels as a percentage of the previous gross earnings. <p /> The index available here is defined as the average of the gross unemployment benefit replacement rates for two earnings levels (67 and 100% of the Average Production Worker wages), three family situations (single person, one-earner couple and two-earner couple), and three durations of unemployment (1 year, 2 to 3 years, and 4 to 5 years). <p /> For further details, see OECD (1994), The OECD Jobs Study (chapter 8) and Martin J. (1996), “Measures of Replacement Rates for the Purpose of International Comparisons: A Note”, OECD Economic Studies, No. 26. Pre-2003 data have been revised. <p /> Please note: Net Replacement Rates (NRR) provide a more complete measure of benefit generosity and income maintenance, especially when compared over longer periods of unemployment. <p /> Updating and maintainenance of the gross replacement rate (GRR) index, originally constructed as part of the OECD Jobs Study (1994), was reliant on access to Average Production Worker (APW) wages. These data have not been collected by the OECD since 2005 and the Historical GRR series has been dismissed. Instead, the OECD provides annually since 2001 the NRR indicator based on a slightly different definition of the reference wage, the Average Wage (AW), for most OECD and EU countries. <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Les taux de remplacement bruts (GRR) mesurent les niveaux de prestations de chômage brutes en pourcentage des revenus bruts antérieurs. <L'indice disponible ici est défini comme la moyenne des taux de remplacement des prestations de chômage brutes pour deux niveaux de rémunération (67 et 100 % du salaire moyen des ouvriers de production), trois situations familiales (personne seule, couple à un seul revenu et couple à deux revenus) et trois durées de chômage (1 an, 2 à 3 ans et 4 à 5 ans). <p /> Pour plus de détails, voir OCDE (1994), L'étude de l'OCDE sur l'emploi (chapitre 8) et Martin J. (1996), « Measures of Replacement Rates for the Purpose of International Comparisons : Note », Études économiques de l'OCDE, n° 26. Les données antérieures à 2003 ont été révisées. <p /> Veuillez noter que les taux de remplacement nets (NRR) fournissent une mesure plus complète de la générosité des prestations et du maintien du revenu, en particulier lorsqu'ils sont comparés sur des périodes de chômage plus longues. <p /> La mise à jour et le maintien de l'indice du taux de remplacement brut (GRR), construit à l'origine dans le cadre de l'étude de l'OCDE sur l'emploi (1994), dépendaient de l'accès aux salaires moyens des travailleurs de la production (APW). Ces données n'ont pas été collectées par l'OCDE depuis 2005 et la série historique du GRR a été abandonnée. Au lieu de cela, l'OCDE fournit chaque année depuis 2001 l'indicateur NRR basé sur une définition légèrement différente du salaire de référence, le salaire moyen (AW), pour la plupart des pays de l'OCDE et de l'UE. <p />Les calculs pour les familles avec enfants supposent 2 enfants âgés de 4 et 6 ans qui n'utilisent pas de services de garde formels. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HOUSEHOLD_TYPE,INCOME_PART LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED HOUSEHOLD_TYPE=S_C0+C_C2,INCOME_CURR=AW67+AW100,HOUSE_BENEFIT=YES+NO,TEMP_INTOWORK_BENEFIT=YES+NO,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Hours of work needed to escape poverty Heures de travail nécessaires pour sortir de la pauvreté This indicator measures the working hours needed to escape poverty for a jobless family claiming minimum income benefits. <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Cet indicateur mesure le nombre d'heures de travail nécessaires pour échapper à la pauvreté pour une famille sans emploi demandant des allocations de revenu minimum. <Les calculs pour les familles avec enfants supposent 2 enfants âgés de 4 et 6 ans qui n'utilisent pas de services de garde formels. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HOUSEHOLD_TYPE,HOUSE_BENEFIT LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED HOUSEHOLD_TYPE=S_C0+C_C2,UNIT_MEASURE=PT_INC_DISP_HH_MEDIAN,HOUSE_BENEFIT=YES+NO,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT INCOME_PART NOT_INDEXED Adequacy of minimum income benefits Adéquation des prestations de revenu minimum This indicator measures the income of selected jobless families receiving Minimum Income benefits. Values are expressed both in national currency and as a percentage of the median disposable income in the country. When the country's poverty line is defined as a fixed percentage of the median disposable income, the normalization of benefit amounts in terms of the median disposable income allows measuring the gap between benefit entitlements and the poverty line. For instance, if the poverty threshold is 50% of the median disposable income, a value of the indicator of 30% means that benefit entitlements are 20 percentage points below the poverty line. <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Cet indicateur mesure le revenu de certaines familles sans emploi qui perçoivent des allocations de revenu minimum. Les valeurs sont exprimées à la fois en monnaie nationale et en pourcentage du revenu disponible médian du pays. Lorsque le seuil de pauvreté du pays est défini comme un pourcentage fixe du revenu disponible médian, la normalisation des montants des prestations en termes de revenu disponible médian permet de mesurer l'écart entre les droits aux prestations et le seuil de pauvreté. Par exemple, si le seuil de pauvreté est de 50 % du revenu disponible médian, une valeur de l'indicateur de 30 % signifie que les droits aux prestations sont inférieurs de 20 points de pourcentage au seuil de pauvreté. <p /> Les calculs pour les familles avec enfants supposent deux enfants âgés de 4 et 6 ans qui n'utilisent pas de services de garde formels. NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW MEASURE LAYOUT_COLUMN HOUSEHOLD_TYPE,INCOME_PART,HOUSE_BENEFIT,SOC_ASS_BENEFIT LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED MEASURE=GFE+NFI,UNIT_MEASURE=XDC+PT_INC_DISP_HH_TP_REF_WG_A,HOUSEHOLD_TYPE=S_C0+C_C2,SOC_ASS_BENEFIT=YES+NO,HOUSE_BENEFIT=YES+NO,LASTNPERIODS=1,STAT_REF_POP=FT_ISICCK,METHOD_MIN_WAGE=MW_DATE,INCOME_PART=_Z+NOEARN_UNEMP_WO_CONBEN DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Annual net and gross earnings of minimum wage earners Salaires annuels nets et bruts des salariés au salaire minimum Gross and net earninigs of full-time minimum wage workers and their families. Calculations based on the OECD Tax-Benefit model (TaxBEN). Income values are available either in national currency (gross/net annual incomes), or divided by the corresponding net/gross income of an otherwise identical familiy where the reference person works full time at the average or medium wage. These ratios can be interpreted as net/gross Kaitz indices for selected family types. <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Revenus bruts et nets des travailleurs à temps plein au salaire minimum et de leurs familles. Calculs basés sur le modèle d'imposition et de prestations de l'OCDE (TaxBEN). Les valeurs des revenus sont disponibles soit en monnaie nationale (revenus annuels bruts/nets), soit divisées par le revenu net/brut correspondant d'une famille identique où la personne de référence travaille à temps plein au salaire moyen. Ces ratios peuvent être interprétés comme des indices de Kaitz net/brut pour certains types de familles. <Les calculs pour les familles avec enfants supposent 2 enfants âgés de 4 et 6 ans qui n'utilisent pas de services de garde formels. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HOUSEHOLD_TYPE,INCOME_CURR,WORKING_HOURS_INCREASE,INCOME_PART,HOUSE_BENEFIT LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED HOUSEHOLD_TYPE=S_C0+C_C2,INCOME_CURR=AW67+MINW,WORKING_HOURS_INCREASE=PTFTW50T100+PTFTW67T100,INCOME_PART=_Z+NOEARN_UNEMP_WO_CONBEN,SOC_ASS_BENEFIT=YES,HOUSE_BENEFIT=YES+NO,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Effective tax rates on additional working hours Taux d'imposition effectif sur les heures de travail supplémentaires This indicator measures the fraction of additional earnings that is lost to either higher taxes or lower benefits when an employee increases their working hours. <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Cet indicateur mesure la fraction des revenus supplémentaires qui est perdue en raison d'une augmentation des impôts ou d'une diminution des prestations lorsqu'un salarié augmente ses heures de travail. <p /> Les calculs pour les familles avec enfants supposent deux enfants âgés de 4 et 6 ans qui n'utilisent pas de services de garde formels. NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW CHILDCARE_COST LAYOUT_COLUMN HOUSE_BENEFIT,INCOME_CURR LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED MEASURE=NCF,UNIT_MEASURE=XDC+PT_WG_A_SAL,HOUSEHOLD_TYPE=C_C2,INCOME_PART=_Z+AW67,INCOME_CURR=AW100+AW67,SOC_ASS_BENEFIT=YES,HOUSE_BENEFIT=YES+NO,LASTNPERIODS=1,CHILDCARE_COST=_T+CF+CB+TAX+_O DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Net childcare cost for parents using centre-based childcare Coût net de la garde d'enfants pour les parents utilisant une structure d'accueil The Net Childcare Cost (NCC) indicator measures the net reduction in family income resulting from the use of full-time centre-based care. It is calculated by comparing net income of a family that uses childcare and an otherwise identical family where no childcare services are used (for example, if the family can use unpaid informal care). <p />The calculations assume 2 children aged 2 and 3, both attending a childcare centre full-time. L'indicateur du coût net de la garde d'enfants (Net Childcare Cost - NCC) mesure la réduction nette du revenu familial résultant de l'utilisation de services de garde d'enfants à temps plein. Il est calculé en comparant le revenu net d'une famille qui utilise des services de garde d'enfants et celui d'une famille identique qui n'utilise pas de services de garde d'enfants (par exemple, si la famille peut utiliser des services informels non rémunérés). <Les calculs reposent sur l'hypothèse de deux enfants âgés de 2 et 3 ans, qui fréquentent tous deux une garderie à temps plein. NonProductionDataflow true REF_AREA LAYOUT_ROW UNEMP_DURATION LAYOUT_COLUMN HOUSEHOLD_TYPE,INCOME_PREV,HOUSE_BENEFIT LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED UNEMP_DURATION=M2+M4+M6+M12+M24+M36,HOUSEHOLD_TYPE=S_C0+C_C2,INCOME_PART=_Z+NOEARN_UNEMP_WO_CONBEN,INCOME_PREV=AW67+AW100,LASTNPERIODS=1,HOUSE_BENEFIT=YES+NO,SOC_ASS_BENEFIT=YES DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Net replacement rates in unemployment Taux de remplacement net en cas de chômage Net Replacement Rates in unemployment measure the net proportion of income that is maintained after 1, 2, …, T months of unemployment. <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Les taux de remplacement nets en cas de chômage mesurent la proportion du revenu net qui est maintenue après 1, 2, ..., T mois de chômage. <p />Les calculs pour les familles avec enfants supposent 2 enfants âgés de 4 et 6 ans qui n'ont pas recours à des services de garde formelle. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HOUSEHOLD_TYPE,INCOME_CURR,INCOME_PART,HOUSE_BENEFIT,TEMP_INTOWORK_BENEFIT,CONTRIBUTION LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED HOUSEHOLD_TYPE=C_C2+S_C2,INCOME_CURR=AW67+MINW,INCOME_PART=AW67+MINW+_Z,HOUSE_BENEFIT=YES+NO,TEMP_INTOWORK_BENEFIT=YES+NO,LASTNPERIODS=5,CONTRIBUTION=_T,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT;COMBINED_MEASURE:MEASURE,CONTRIBUTION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure;COMBINED_MEASURE:Measure COMBINED_UNIT_MEASURE:Unité de mesure;COMBINED_MEASURE:Mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Effective tax rates on taking up work when claiming minimum income and using childcare services Taux d'imposition effectif sur la reprise d'un emploi en cas de perception d'un revenu minimum et d'utilisation de services de garde d'enfants This indicator measures the financial disincentives to participate in the labour market. It calculates the proportion of earnings in the new job that would be lost to either higher taxes, lower benefits and net childcare costs when a parent with young children takes up full-time employment and uses full-time centre-based childcare. This indicators is calculated assuming that the family claims social assitance and/or Guaranteed Minimum Income (GMI) benefits but not unemployment benefits. <p />The calculations assume 2 children aged 2 and 3, both attending a childcare centre full-time. Cet indicateur mesure les désincitations financières à participer au marché du travail. Il calcule la proportion des revenus du nouvel emploi qui serait perdue en raison d'une augmentation des impôts, d'une diminution des prestations et des coûts nets de garde d'enfants lorsqu'un parent ayant de jeunes enfants prend un emploi à temps plein et utilise des services de garde d'enfants à temps plein. Ces indicateurs sont calculés en supposant que la famille bénéficie de l'aide sociale et/ou du revenu minimum garanti, mais pas des allocations de chômage. <p /> Les calculs se fondent sur l'hypothèse de deux enfants âgés de 2 et 3 ans, qui fréquentent tous deux un centre d'accueil à temps plein. NonProductionDataflow true REF_AREA LAYOUT_ROW UNEMP_DURATION LAYOUT_COLUMN HOUSEHOLD_TYPE,INCOME_CURR,INCOME_PART,HOUSE_BENEFIT,TEMP_INTOWORK_BENEFIT,CONTRIBUTION LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED HOUSEHOLD_TYPE=C_C2+S_C2,INCOME_CURR=AW67+MINW,INCOME_PART=AW67+MINW+_Z,HOUSE_BENEFIT=YES+NO,TEMP_INTOWORK_BENEFIT=YES+NO,UNEMP_DURATION=M2+M6+M12+M24+M36,CONTRIBUTION=_T,SOC_ASS_BENEFIT=YES,LASTNPERIODS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT;COMBINED_MEASURE:MEASURE,CONTRIBUTION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure;COMBINED_MEASURE:Measure COMBINED_UNIT_MEASURE:Unité de mesure;COMBINED_MEASURE:Mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Effective tax rates on taking up work when claiming unemployment benefits and using childcare services Taux d'imposition effectifs sur l'acceptation d'un emploi en cas de perception d'allocations de chômage et d'utilisation de services de garde d'enfants This indicator measures the financial disincentives to participate in the labour market for a jobseeker claiming unemployment benefits. It calculates the proportion of earnings that are lost to either higher taxes, lower benefits and net childcare costs when a parent with young children takes up full-time employment and uses full-time centre-based childcare. This indicators is calculated assuming that the jobseeker claims unemployment insurance and/or unemployment assistance benefits when s/he is out of work. <p />The calculations assume 2 children aged 2 and 3, both attending a childcare centre full-time. Cet indicateur mesure les désincitations financières à participer au marché du travail pour un demandeur d'emploi bénéficiant d'allocations de chômage. Il calcule la proportion des revenus perdus en raison de l'augmentation des impôts, de la diminution des prestations et des coûts nets de garde d'enfants lorsqu'un parent de jeunes enfants prend un emploi à temps plein et utilise des services de garde d'enfants à temps plein dans des centres. Ces indicateurs sont calculés en supposant que le demandeur d'emploi fait appel à l'assurance chômage et/ou aux prestations d'assistance chômage lorsqu'il est sans emploi. <Les calculs se fondent sur l'hypothèse de deux enfants âgés de 2 et 3 ans, qui fréquentent tous deux un centre d'accueil à temps plein. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HOUSEHOLD_TYPE,INCOME_CURR,INCOME_PART,HOUSE_BENEFIT,TEMP_INTOWORK_BENEFIT LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED HOUSEHOLD_TYPE=S_C0+C_C2,INCOME_CURR=AW67+AW100,INCOME_PART=_Z+NOEARN_UNEMP_WO_CONBEN,HOUSE_BENEFIT=YES+NO,TEMP_INTOWORK_BENEFIT=YES+NO,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Effective tax rates on taking up work when claiming minimum income benefits Taux d'imposition effectif sur la reprise d'un emploi pour les bénéficiaires de minima sociaux This indicator measures the financial disincentives to participate in the labour market. It shows the proportion of earnings in the new job that are lost to either higher tax liabilities and/or lower benefit entitlements when a jobless person takes up employment and their family claims social assistance and/or Guaranteed Minimum Income (GMI) benefits. Higher values means higher financial disincentives. <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Cet indicateur mesure les désincitations financières à participer au marché du travail. Il montre la proportion des revenus du nouvel emploi qui sont perdus en raison d'une augmentation des impôts et/ou d'une diminution des prestations lorsqu'une personne sans emploi prend un emploi et que sa famille demande une aide sociale et/ou des prestations de revenu minimum garanti. Des valeurs plus élevées signifient des désincitations financières plus importantes. <p />Les calculs pour les familles avec enfants supposent 2 enfants âgés de 4 et 6 ans qui n'ont pas recours à des services de garde formelle. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HOUSEHOLD_TYPE,INCOME_CURR,INCOME_PART,HOUSE_BENEFIT,TEMP_INTOWORK_BENEFIT LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED HOUSEHOLD_TYPE=S_C0+C_C2,INCOME_CURR=AW67+AW100,INCOME_PART=_Z+NOEARN_UNEMP_WO_CONBEN,UNEMP_DURATION=M2+M6+M12+M24+M36,SOC_ASS_BENEFIT=YES,HOUSE_BENEFIT=YES+NO,TEMP_INTOWORK_BENEFIT=YES+NO,LASTNPERIODS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Effective tax rate on taking up work when claiming unemployment benefits Taux d'imposition effectif sur la reprise d'un emploi pour les bénéficiaires d'allocations de chômage This indicator measures the financial disincentives to participate in the labour market. It calculates the proportion of earnings in the new job that are lost to either higher taxes or lower benefit entitlements when a jobless person takes up employment and claims unemployment benefits. Higher values means higher financial disincentives. <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Cet indicateur mesure les désincitations financières à participer au marché du travail. Il calcule la proportion des revenus du nouvel emploi qui sont perdus en raison d'une augmentation des impôts ou d'une diminution des droits aux prestations lorsqu'une personne sans emploi reprend un emploi et demande des allocations de chômage. Des valeurs plus élevées signifient des désincitations financières plus importantes. <p />Les calculs pour les familles avec enfants supposent 2 enfants âgés de 4 et 6 ans qui n'ont pas recours à des services de garde formelle. NonProductionDataflow true REF_AREA, MEASURE LAYOUT_ROW BENEFIT_TIER LAYOUT_COLUMN FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED MEASURE=OVER+AVAIL+JSR+SAN,BENEFIT_TIER=FT+FLT+SLT,LASTNPERIODS=1 DEFAULT HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Strictness of activation requirements for benefit recipients Rigueur des conditions d'activation pour les bénéficiaires de prestations This indicator measures the strictness of activity-related eligibility criteria for recipients of unemployment and related benefits. It considers (1) the strictness of job-search and monitoring procedures, (2) the strictness of work-availability requirements and suitable job criteria, and (3) the strictness of sanctions for those not complaying with the requirements. The data include information for first and lower tier benefits. The list of programmes and their classification into first and lower tier benefits is available in the project webpage (https://oe.cd/taxben). <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Cet indicateur mesure la rigueur des critères d'éligibilité liés à l'activité pour les bénéficiaires de prestations de chômage et d'autres prestations connexes. Il prend en compte (1) la rigueur des procédures de recherche d'emploi et de suivi, (2) la rigueur des exigences en matière de disponibilité du travail et des critères d'emploi adéquats, et (3) la rigueur des sanctions pour ceux qui ne se conforment pas aux exigences. Les données comprennent des informations sur les prestations de premier niveau et de niveau inférieur. La liste des programmes et leur classification en prestations de premier et de second niveau est disponible sur la page web du projet (https://oe.cd/taxben). <Les calculs pour les familles avec enfants supposent 2 enfants âgés de 4 et 6 ans qui n'utilisent pas de services de garde formels. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,AGE=_T DEFAULT 10000 MAX_TABLE_DATA Average duration of unemployment Durée moyenne du chômage This table contains data on the average duration of unemployment (reported in number of months) by sex and standardised age groups (15-19, 15-24, 20-24, 25-54, 55+, total). <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Ce tableau contient des données sur la durée moyenne du chômage (exprimée en nombre de mois) par sexe et groupes d'âge standardisés (15-19, 15-24, 20-24, 25-54, 55+, total). <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA,DURATION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,AGE=_T DEFAULT 10000 MAX_TABLE_DATA Unemployment by duration Chômage selon la durée This table contains data on the level of the five durations - less than 1 month, >1 month and < 3 months, >3 months and <6 months, >6 months and <1 year, 1 year and over - of unemployment by sex and by standardised age groups (15-19, 15-24, 20-24, 25-54, 55+, total). <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Ce tableau contient des données sur le niveau des cinq durées - moins d'un mois, >1 mois et < 3 mois, >3 mois et <6 mois, >6 mois et <1 an, 1 an et plus - du chômage par sexe et par groupes d'âge standardisés (15-19, 15-24, 20-24, 25-54, 55+, total). <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA,DURATION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,AGE=_T DEFAULT 10000 MAX_TABLE_DATA Incidence of unemployment by duration Incidence du chômage selon la durée This table contains data on the share of the five durations - less than 1 month,>1 month and < 3 months,>3 months and <6 months,>6 months and <1 year, 1 year and over - of unemployment among total unemployment by sex and by standardised age groups (15-19, 15-24, 20-24, 25-54, 55+, total). <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Ce tableau contient des données sur la part des cinq durées - moins d'un mois, > 1 mois et < 3 mois, > 3 mois et < 6 mois, > 6 mois et < 1 an, 1 an et plus - du chômage parmi le chômage total par sexe et par groupes d'âge standardisés (15-19, 15-24, 20-24, 25-54, 55+, total). <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,AGGREGATION_OPERATION LAYOUT_ROW_SECTION UNIT_MEASURE,PAY_PERIOD,PRICE_BASE,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED SEX=_T,AGGREGATION_OPERATION=MEAN,MEASURE=S_PA_WP,TIME_PERIOD_START=2000 DEFAULT Wage gap by age Écart salarial selon l'âge This dataset contains age wage gaps defined as the difference between mean (median) earnings of 25-54 year-olds and that of 15-24 year-olds (respectively 55-64 year-olds) relative to mean (median) earnings of 25-54 year-olds. Earnings refer to gross earnings of full-time dependent employees unless otherwise indicated. Cet ensemble de données contient les écarts salariaux selon l'âge définis comme la différence entre les revenus moyens (médians) des 25-54 ans et ceux des 15-24 ans (respectivement 55-64 ans) par rapport aux revenus moyens (médians) des 25 ans. -54 ans. Les gains font référence aux gains bruts des employés à charge à temps plein, sauf indication contraire. NonProductionDataflow true REF_AREA,PRICE_BASE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,PAY_PERIOD,AGGREGATION_OPERATION,SEX,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Average annual wages Salaire annuel moyen This dataset contains data on average annual wages per employee in full-time equivalent unit in the total economy. Average annual wages per full-time equivalent dependent employee are obtained by dividing the national-accounts-based total wage bill by the average number of employees in the total economy, which is then converted in full-time equivalent unit by applying the ratio of average usual weekly hours per full-time employee to that of all employees. For more details, see: <a href="http://www.oecd.org/els/oecd-employment-outlook-19991266.htm">http://www.oecd.org/els/oecd-employment-outlook-19991266.htm</a> and <a href="http://www.oecd.org/employment/emp/onlineoecdemploymentdatabase.htm">http://www.oecd.org/employment/emp/onlineoecdemploymentdatabase.htm</a> The data are available in Current prices in NCU, in 2022 constant prices and NCU, in 2022 USD PPPs and 2022 constant prices. NCU: National currency units. For further details on these estimates, please see <a href="http://www.oecd.org/els/emp/AVERAGE_WAGES.pdf">http://www.oecd.org/els/emp/AVERAGE_WAGES.pdf</a> Cet ensemble de données contient des données sur les salaires annuels moyens par employé en unité équivalente temps plein dans l'économie totale. Les salaires annuels moyens par employé dépendant équivalent temps plein sont obtenus en divisant la masse salariale totale basée sur les comptes nationaux par le nombre moyen d'employés dans l'économie totale, qui est ensuite convertie en unité équivalent temps plein en appliquant le ratio du salaire moyen. heures hebdomadaires habituelles par salarié à temps plein à celle de l’ensemble des salariés. Pour plus de détails, voir : <a href="http://www.oecd.org/els/oecd-employment-outlook-19991266.htm">http://www.oecd.org/els/oecd-employment- Outlook-19991266.htm</a> et <a href="http://www.oecd.org/employment/emp/onlineoecdemploymentdatabase.htm">http://www.oecd.org/employment/emp/onlineoecdemploymentdatabase. htm</a> Les données sont disponibles en prix courants en NCU, en prix constants de 2022 et NCU, en PPA USD de 2022 et en prix constants de 2022. NCU : unités monétaires nationales. Pour plus de détails sur ces estimations, veuillez consulter <a href="http://www.oecd.org/els/emp/AVERAGE_WAGES.pdf">http://www.oecd.org/els/emp/AVERAGE_WAGES.pdf </a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Full earnings dataset Ensemble de données complet sur les revenus This dataset contains all earnings data Cet ensemble de données contient toutes les données sur les revenus NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE,AGGREGATION_OPERATION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX LAYOUT_ROW_SECTION PAY_PERIOD,PRICE_BASE,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED SEX=_T,TIME_PERIOD_START=2005 DEFAULT Decile ratios of gross earnings Ratios déciles des gains bruts This dataset contains three earnings-dispersion measures - ratio of 9th-to-1st, 9th-to-5th and 5th-to-1st - where 9th, 5th (median) and 1st deciles are upper-earnings decile limits, unless otherwise indicated, of gross earnings of full-time dependent employees. Cet ensemble de données contient trois mesures de dispersion des revenus - ratio du 9e au 1er, du 9e au 5e et du 5e au 1er - où le 9e, le 5e (médiane) et le 1er déciles sont les limites des déciles de revenus supérieurs, sauf indication contraire, des gains bruts des salariés dépendants à temps plein. NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE,AGGREGATION_OPERATION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX LAYOUT_ROW_SECTION PAY_PERIOD,PRICE_BASE,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED SEX=_T,TIME_PERIOD_START=2005 DEFAULT Gender wage gap Écart salarial entre hommes et femmes This dataset contains gender wage gaps defined as the unadjusted difference between median wages of men and women relative to the median wages of men. Cet ensemble de données contient les écarts salariaux entre les sexes définis comme la différence non ajustée entre les salaires médians des hommes et des femmes par rapport au salaire médian des hommes. NonProductionDataflow true REF_AREA,AGGREGATION_OPERATION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,PAY_PERIOD,PRICE_BASE,SEX,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Minimum relative to average wages of full-time workers Salaire minimum par rapport au salaire moyen des travailleurs à temps plein For cross-country comparisons, data on minimum wage levels are further supplemented with another measure of minimum wages relative to average wages, that is, the ratio of minimum wages to median earnings of full-time employees. Median rather than mean earnings provide a better basis for international comparisons as it accounts for differences in earnings dispersion across countries. However, while median of basic earnings of full-time workers - i.e. excluding overtime and bonus payments - are ideally, the preferred measure of average wages for international comparisons of minimum-to-median earnings, they are not available for a large number of countries. Minimum relative to mean earnings of full-time workers are also provided. "Pour les comparaisons entre pays, les données sur les niveaux de salaire minimum sont complétées par une autre mesure du salaire minimum par rapport au salaire moyen, à savoir le rapport entre le salaire minimum et les gains médians des salariés à temps plein. Les gains médians plutôt que moyens fournissent une Cependant, la médiane des revenus de base des travailleurs à temps plein - c'est-à-dire hors heures supplémentaires et primes - constitue, idéalement, la mesure privilégiée des salaires moyens pour les comparaisons internationales. Si l’on considère les revenus minimum ou médians, ils ne sont pas disponibles dans un grand nombre de pays. Des minimums relatifs aux gains moyens des travailleurs à temps plein sont également fournis. NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN PAY_PERIOD LAYOUT_ROW_SECTION MEASURE,PRICE_BASE,AGGREGATION_OPERATION,SEX,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED PAY_PERIOD=A,TIME_PERIOD_START=2010 DEFAULT Minimum wages at current prices in national currency units (NCU) Salaire minimum aux prix courants en unités monétaires nationales (NCU) This dataset contains statutory and national minimum wages in 30 OECD Member countries, Brazil, Malta, Romania and the Russian Federation. For detailed country notes: see <a href=”http://www.oecd.org/employment/emp/Minimum-wages.pdf”>http://www.oecd.org/employment/emp/Minimum-wages.pdf</a> Cet ensemble de données contient les salaires minimum légaux et nationaux dans 30 pays membres de l'OCDE, au Brésil, à Malte, en Roumanie et dans la Fédération de Russie. Pour des notes détaillées par pays : voir <a href=”http://www.oecd.org/employment/emp/Minimum-wages.pdf”>http://www.oecd.org/employment/emp/Minimum-wages. pdf</a> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX LAYOUT_ROW_SECTION PAY_PERIOD,PRICE_BASE,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED SEX=_T,TIME_PERIOD_START=2005 DEFAULT Incidence of low and high pay Incidence des salaires bas et élevés This dataset contains series on the incidence of low-paid workers defined as the share of full-time workers earning less than two-thirds of gross median earnings of all full-time workers; the incidence of high-paid workers defined as the share of full-time workers earning more than one-and-half time gross median earnings of all full-time workers. Cet ensemble de données contient des séries sur l'incidence des travailleurs à faible salaire, définis comme la part des travailleurs à temps plein gagnant moins des deux tiers des gains médians bruts de tous les travailleurs à temps plein ; l'incidence des travailleurs bien rémunérés est définie comme la part des travailleurs à temps plein gagnant plus d'une fois et demie le salaire médian brut de l'ensemble des travailleurs à temps plein. NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN PAY_PERIOD LAYOUT_ROW_SECTION MEASURE,PRICE_BASE,AGGREGATION_OPERATION,SEX,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED PAY_PERIOD=A,TIME_PERIOD_START=2001 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Real minimum wages at constant prices Salaire minimum réel à prix constants Real minimum wages are statutory minimum wages converted into a common hourly and annual pay period for the 30 OECD countries and two other non-member countries for which they are available. Real hourly and annual minimum wages are calculated first by deflating the series using the consumer price index converted into common currency units 1) US dollars (USD) and 2) USD using Purchasing Power Parities (PPPs) for private consumption expenditures. For the base year, see the combined unit of measure in the table. Les salaires minimum réels sont des salaires minimum légaux convertis en une période de paie horaire et annuelle commune pour les 30 pays de l'OCDE et deux autres pays non membres pour lesquels ils sont disponibles. Les salaires minimum horaires et annuels réels sont d'abord calculés en déflatant la série en utilisant l'indice des prix à la consommation puis convertis en unités monétaires communes 1) dollars américains (USD) et 2) USD en utilisant les parités de pouvoir d'achat (PPA) pour le secteur privé. Pour l’année de base, voir l’unité de mesure combinée dans le tableau. NonProductionDataflow true REF_AREA,WORK_TIME_ARNGMNT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE,WORKER_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION LABOUR_FORCE_STATUS,JOB_COVERAGE,OBS_STATUS=A,UNIT_MULT=0,WORK_TIME_ARNGMNT=_T NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,UNIT_MEASURE=PS,WORKER_STATUS=_T,AGE=_T,WORK_TIME_ARNGMNT=FT+PT,LABOUR_FORCE_STATUS=EMP,MEASURE=EMP,JOB_COVERAGE=MAIN DEFAULT 10000 MAX_TABLE_DATA Full-time and part-time employment Emploi à temps plein et à temps partiel This dataset contains data on full-time and part-time employment according to: <ul> <li>a common definition of 30-usual weekly hours of work in the main job</li> <li>national definitions</li> </ul> Data are broken down by professional status - employees, total employment - sex and standardised age groups (15-24, 25-54, 55+, total) <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> For detailed information on labour force surveys for all countries please see <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données contient des données sur l'emploi à temps plein et à temps partiel selon : <ul> <li>une définition commune des 30 heures de travail hebdomadaires habituelles pour l'emploi principal</li> <li>définitions nationales</li> </ul> Les données sont ventilées par statut professionnel - salariés, emploi total - sexe et tranches d'âge standardisées (15-24, 25-54, 55+, total) <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true REF_AREA,WORK_TIME_ARNGMNT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE,WORKER_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION LABOUR_FORCE_STATUS,JOB_COVERAGE,OBS_STATUS=A,UNIT_MULT=0,WORK_TIME_ARNGMNT=_T NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,UNIT_MEASURE=PS,WORKER_STATUS=_T,AGE=Y25T54,WORK_TIME_ARNGMNT=FT+PT,LABOUR_FORCE_STATUS=EMP,MEASURE=EMP,JOB_COVERAGE=MAIN DEFAULT 10000 MAX_TABLE_DATA Full-time and part-time employment based on OECD-harmonized definition Emploi à temps plein et à temps partiel selon la définition harmonisée de l'OCDE This dataset based on so-called OECD harmonized definition contains data on full-time and part-time employment according to a common definition of 30-usual weekly hours of work in the main job. Data are broken down by professional status - employees, total employment - sex and standardised age groups (15-24, 25-54, 55+, total) <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> For detailed information on labour force surveys for all countries please see <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données basé sur la définition harmonisée de l'OCDE contient des données sur l'emploi à temps plein et à temps partiel selon une définition commune de 30 heures de travail hebdomadaires habituelles pour l'emploi principal. Les données sont ventilées par statut professionnel - salariés, emploi total - sexe et tranches d'âge standardisées (15-24, 25-54, 55+, total). <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true REF_AREA,WORK_TIME_ARNGMNT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE,WORKER_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION LABOUR_FORCE_STATUS,JOB_COVERAGE,OBS_STATUS=A,UNIT_MULT=0,WORK_TIME_ARNGMNT=_T NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,UNIT_MEASURE=PS,WORKER_STATUS=_T,AGE=Y15T64,WORK_TIME_ARNGMNT=FT+PT,LABOUR_FORCE_STATUS=EMP,MEASURE=EMP,JOB_COVERAGE=MAIN DEFAULT 10000 MAX_TABLE_DATA Incidence of full-time and part-time employment based on OECD-harmonized definition Fréquence de l’emploi à temps plein et à temps partiel selon la définition harmonisée de l’OCDE This dataset contains incidences and gender composition of part-time employment with standardised (15-24, 25-54, 55-64, 65+, total) and detailed age groups. Data are further broken down by professional status - employees, total employment. Part-time employment is based on a common 30-usual-hour cut-off in the main job. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> For detailed information on labour force surveys for all countries please see <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données contient l'incidence et la répartition par sexe de l'emploi à temps partiel avec des tranches d'âge standardisées (15-24, 25-54, 55-64, 65+, total) et détaillées. Les données sont ensuite ventilées par statut professionnel – salariés, emploi total. L'emploi à temps partiel est basé sur une coupure habituelle de 30 heures pour l'emploi principal. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true REF_AREA,WORK_TIME_ARNGMNT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE,WORKER_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION LABOUR_FORCE_STATUS,JOB_COVERAGE,OBS_STATUS=A,UNIT_MULT=0,WORK_TIME_ARNGMNT=_T NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=M+F,UNIT_MEASURE=PT_POP_SUB,WORKER_STATUS=_T,AGE=_T,WORK_TIME_ARNGMNT=PT,LABOUR_FORCE_STATUS=EMP,MEASURE=EMP_PT,JOB_COVERAGE=MAIN DEFAULT 10000 MAX_TABLE_DATA Gender share of part-time employment Part des sexes dans l'emploi à temps partiel This dataset contains gender composition of part-time employment with standardised (15-24, 25-54, 55-64, 65+, total) and detailed age groups. Data are further broken down by professional status - employees, total employment. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> For detailed information on labour force surveys for all countries please see <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données présente la répartition par sexe de l'emploi à temps partiel avec des tranches d'âge standardisées (15-24, 25-54, 55-64, 65+, total) et détaillées. Les données sont ensuite ventilées par statut professionnel – salariés, emploi total. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true REF_AREA,WORK_TIME_ARNGMNT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE,WORKER_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION LABOUR_FORCE_STATUS,JOB_COVERAGE,OBS_STATUS=A,UNIT_MULT=0,WORK_TIME_ARNGMNT=_T NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,UNIT_MEASURE=PS,WORKER_STATUS=_T,AGE=_T,WORK_TIME_ARNGMNT=FT+PT,LABOUR_FORCE_STATUS=EMP,MEASURE=EMP,JOB_COVERAGE=MAIN DEFAULT 10000 MAX_TABLE_DATA Full-time and part-time employment based on national definition Emploi à temps plein et à temps partiel selon la définition nationale This dataset contains data on full-time and part-time employment based on national definition. Data are broken down by professional status - employees, total employment - sex and standardised age groups (15-24, 25-54, 55+, total). <p /> National definitions of part-time work vary considerably across OECD countries. Essentially three main approaches can be distinguished: i) a classification based on the worker’s perception of his/her employment situation; ii) a cut-off (generally 30 or 35 hours per week) based on usual working hours, with persons usually working fewer hours being considered part-timers; iii) a comparable cut-off based on actual hours worked during the reference week. A criterion based on actual hours will generally yield a part-time rate higher than one based on usual hours, particularly if there are temporary reductions in working time as a result of holidays, illness, short-timing, etc. On the other hand, it is not entirely clear whether a classification based on the worker’s perception will necessarily yield estimates of part-time work that are higher or lower than one based on a fixed cut-off. In one country (France) which changed from 1981 to 1982 from a definition based on an actual hours cut-off (30 hours) to one based on the respondent’s perception, the latter criterion appeared to produce slightly higher estimates. <p /> Other factors as well affect the international comparability of the estimates. In some countries, the hours’ cut-off is based on hours for the main job, in others on total hours for all jobs. Certain countries do not consider unpaid family workers to be employed unless they work more than a minimum number of hours, so that such workers do not enter into counts for part-time workers. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> For detailed information on labour force surveys for all countries please see <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données contient des données sur l'emploi à temps plein et à temps partiel selon la définition nationale. Les données sont ventilées par statut professionnel - salariés, emploi total - sexe et groupes d'âge standardisés (15-24, 25-54, 55+, total). <p /> Les définitions nationales du travail à temps partiel varient considérablement selon les pays de l'OCDE. Essentiellement, trois approches principales peuvent être distinguées : i) une classification basée sur la perception qu’a le travailleur de sa situation d’emploi ; ii) un seuil (généralement de 30 ou 35 heures par semaine) basé sur les heures de travail habituelles, les personnes travaillant habituellement moins d'heures étant considérées comme des travailleurs à temps partiel ; iii) un seuil comparable basé sur les heures réellement travaillées au cours de la semaine de référence. Un critère basé sur la durée réelle donnera généralement un taux de temps partiel supérieur à celui basé sur la durée habituelle, notamment s'il y a des réductions temporaires du temps de travail dues à des vacances, une maladie, un chômage partiel, etc. il n'est pas tout à fait clair si une classification basée sur la perception du travailleur donnera nécessairement des estimations du travail à temps partiel supérieures ou inférieures à une classification basée sur un seuil fixe. Dans un pays (la France) qui est passé entre 1981 et 1982 d’une définition basée sur une limite d’heures réelle (30 heures) à une définition basée sur la perception de l’enquêté, ce dernier critère semble produire des estimations légèrement plus élevées. <p /> D'autres facteurs affectent également la comparabilité internationale des estimations. Dans certains pays, la limite d’heures est basée sur les heures consacrées à l’emploi principal, dans d’autres sur le nombre total d’heures pour tous les emplois. Certains pays ne considèrent pas les travailleurs familiaux non rémunérés comme employés à moins qu'ils ne travaillent plus qu'un nombre minimum d'heures, de sorte que ces travailleurs ne sont pas comptabilisés dans les travailleurs à temps partiel. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true REF_AREA,WORK_TIME_ARNGMNT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE,WORKER_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION LABOUR_FORCE_STATUS,JOB_COVERAGE,OBS_STATUS=A,UNIT_MULT=0,WORK_TIME_ARNGMNT=_T NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,UNIT_MEASURE=PS,WORKER_STATUS=_T,AGE=_T,WORK_TIME_ARNGMNT=FT+PT,LABOUR_FORCE_STATUS=EMP,MEASURE=EMP,JOB_COVERAGE=MAIN DEFAULT 10000 MAX_TABLE_DATA Incidence of full-time and part-time employment based on national definitions Fréquence de l'emploi à temps plein et à temps partiel selon les définitions nationales This dataset contains incidences and gender composition of part-time employment with standardised (15-24, 25-54, 55-64, 65+, total) and detailed age groups. Data are further broken down by professional status - employees, total employment. Part-time employment is based on national definitions. <p /> The definition of part-time work varies considerably across OECD countries Essentially three main approaches can be distinguished: i) a classification based on the worker's perception of his/her employment situation; ii) a cut-off (generally 30 or 35 hours per week) based on usual working hours, with persons usually working fewer hours being considered part-timers; iii) a comparable cut-off based on actual hours worked during the reference week. A criterion based on actual hours will generally yield a part-time rate higher than one based on usual hours, particularly if there are temporary reductions in working time as a result of holidays, illness, short-timing, etc. On the other hand, it is not entirely clear whether a classification based on the worker's perception will necessarily yield estimates of part-time work that are higher or lower than one based on a fixed cut-off. In one country (France) which changed from 1981 to 1982 from a definition based on an actual hours cut-off (30 hours) to one based on the respondent's perception, the latter criterion appeared to produce slightly higher estimates. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> For detailed information on labour force surveys for all countries please see <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données contient l'incidence et la répartition par sexe de l'emploi à temps partiel avec des tranches d'âge standardisées (15-24, 25-54, 55-64, 65+, total) et détaillées. Les données sont ensuite ventilées par statut professionnel – salariés, emploi total. L'emploi à temps partiel est basé sur des définitions nationales. <p /> La définition du travail à temps partiel varie considérablement selon les pays de l'OCDE. On peut essentiellement distinguer trois approches principales : i) une classification basée sur la perception qu'a le travailleur de sa situation d'emploi ; ii) un seuil (généralement de 30 ou 35 heures par semaine) basé sur les heures de travail habituelles, les personnes travaillant habituellement moins d'heures étant considérées comme des travailleurs à temps partiel ; iii) un seuil comparable basé sur les heures réellement travaillées au cours de la semaine de référence. Un critère basé sur la durée réelle donnera généralement un taux de temps partiel supérieur à celui basé sur la durée habituelle, notamment s'il y a des réductions temporaires du temps de travail dues à des vacances, une maladie, un chômage partiel, etc. il n'est pas tout à fait clair si une classification basée sur la perception du travailleur donnera nécessairement des estimations du travail à temps partiel supérieures ou inférieures à une classification basée sur un seuil fixe. Dans un pays (la France) qui est passé entre 1981 et 1982 d'une définition basée sur une limite d'heures réelle (30 heures) à une définition basée sur la perception de l'enquêté, ce dernier critère semble produire des estimations légèrement plus élevées. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN WORKER_STATUS LAYOUT_ROW_SECTION MEASURE,OBS_STATUS=A,UNIT_MULT=0,LABOUR_FORCE_STATUS,AGGREGATION_OPERATION,PAY_PERIOD,HOURS_TYPE,JOB_COVERAGE,SEX,AGE,HOUR_BANDS NOT_DISPLAYED TIME_PERIOD_START=2010,WORKER_STATUS=_T,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD DEFAULT Average annual hours actually worked per worker Nombre moyen d’heures annuelles ouvrées par personne ayant un emploi The concept used is the total number of hours worked over the year divided by the average number of people in employment. The data are intended for comparisons of trends over time; they are unsuitable for comparisons of the level of average annual hours of work for a given year, because of differences in their sources. Part-time workers are covered as well as full-time workers. <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Le concept utilisé est celui du nombre d'heures totales travaillées pendant l'année divisé par le nombre moyen de personnes ayant un emploi. Ces données visent à effectuer des comparaisons de tendances dans le temps ; en revanche, à cause de la disparité des sources, elles ne permettent pas des comparaisons de niveaux pour une année donnée. Les chiffres portent sur le travail à temps partiel et à temps complet. <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA,HOUR_BANDS LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN WORKER_STATUS LAYOUT_ROW_SECTION MEASURE,OBS_STATUS=A,UNIT_MULT=0,LABOUR_FORCE_STATUS,AGGREGATION_OPERATION,PAY_PERIOD,HOURS_TYPE,JOB_COVERAGE,HOUR_BANDS NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,AGE=_T,WORKER_STATUS=ICSE93_1,WORK_TIME_ARNGMNT=_T,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD DEFAULT Average usual weekly hours worked on the main job Nombre moyen d’heures hebdomadaires habituelles travaillées dans le cadre de l'emploi principal This dataset contains data on average usual weekly hours worked in the main job broken down by total employment, full-time employment and part-time employment. Actual hours of work, instead of usual hours of work, are only available in some countries (Mexico and Korea). Data are further broken down by professional status - employees, total employment - by sex and standardised age groups (15-24, 25-54, 55-64, 65+ and total) . <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at: <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient des données sur les heures hebdomadaires moyennes travaillées dans l'emploi principal, réparties par emploi total, emploi à temps plein et emploi à temps partiel. Les heures de travail réelles au lieu des heures de travail habituelles ne sont disponibles que dans certains pays (Mexique et Corée). Les données sont ensuite ventilées par statut professionnel - employés, emploi total - par sexe et groupes d'âge standardisés (15-24, 25-54, 55-64, 65+ et total) . <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA,HOUR_BANDS LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN WORKER_STATUS LAYOUT_ROW_SECTION MEASURE,OBS_STATUS=A,UNIT_MULT=0,LABOUR_FORCE_STATUS,AGGREGATION_OPERATION,PAY_PERIOD,HOURS_TYPE,JOB_COVERAGE NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,AGE=Y15T64,WORKER_STATUS=_T,HOUR_BANDS=H_GE50,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD DEFAULT Incidence of employment by long usual weekly hours worked Incidence de l'emploi selon les longues heures hebdomadaires habituelles travaillées This dataset contains the share of employment by long hour bands (50 and over, 60 and over) for usual weekly hours worked in the main job. Actual hours of work instead of usual hours of work are only available in some countries (Japan and Korea). Data are broken down by professional status - employees, total employment - by sex and age groups. <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient la part de l'emploi par tranches d'heures longues (50 ans et plus, 60 ans et plus) pour les heures hebdomadaires habituelles travaillées dans l'emploi principal. Les heures de travail réelles au lieu des heures de travail habituelles ne sont disponibles que dans certains pays (Japon et Corée). Les données sont ventilées par statut professionnel - salariés, emploi total - par sexe et tranches d'âge. <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true HOUR_BANDS LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,WORKER_STATUS LAYOUT_ROW_SECTION MEASURE,OBS_STATUS=A,UNIT_MULT=0,LABOUR_FORCE_STATUS,AGGREGATION_OPERATION,PAY_PERIOD,HOURS_TYPE,JOB_COVERAGE NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,AGE=_T,WORKER_STATUS=_T,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD DEFAULT Incidence of employment by usual weekly hours worked Incidence de l'emploi selon les heures hebdomadaires habituelles travaillées This dataset contains data on the cross-country distribution of employment by hour bands for declared hour bands, broken down by professional status - employees, total employment - sex and detailed age groups. <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient des données sur la répartition de l'emploi par tranches horaires déclarées dans plusieurs pays, ventilées par statut professionnel - salariés, emploi total - sexe et groupes d'âge détaillés. <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA,HOUR_BANDS LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN WORKER_STATUS LAYOUT_ROW_SECTION MEASURE,OBS_STATUS=A,UNIT_MULT=0,LABOUR_FORCE_STATUS,AGGREGATION_OPERATION,PAY_PERIOD,HOURS_TYPE,JOB_COVERAGE NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,AGE=Y15T64,WORKER_STATUS=ICSE93_1,HOUR_BANDS=H_GE60,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD DEFAULT Long usual weekly working hours Horaires de travail hebdomadaires habituels longs This dataset contains data on employment by long hour bands (50 and over, 60 and over) for usual weekly hours worked in the main job. Actual hours of work instead of usual hours of work are only available in some countries (Japan and Korea). Data are broken down by professional status - employees, total employment - by sex and age groups. <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient des données sur l'emploi par tranches d'heures longues (50 ans et plus, 60 ans et plus) pour les heures hebdomadaires habituelles travaillées dans l'emploi principal. Les heures de travail réelles au lieu des heures de travail habituelles ne sont disponibles que dans certains pays (Japon et Corée). Les données sont ventilées par statut professionnel - salariés, emploi total - par sexe et tranches d'âge. <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true HOUR_BANDS LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,WORKER_STATUS LAYOUT_ROW_SECTION MEASURE,OBS_STATUS=A,UNIT_MULT=0,LABOUR_FORCE_STATUS,AGGREGATION_OPERATION,PAY_PERIOD,HOURS_TYPE,JOB_COVERAGE NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,AGE=Y15T64,WORKER_STATUS=ICSE93_1,HOUR_BANDS=H_GE60,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD DEFAULT Usual hours worked by weekly hour bands Heures habituelles travaillées par tranches horaires hebdomadaires This dataset contains data on employment by hour bands for usual weekly hours worked in the main job. Standard hour bands are reported for most countries. Actual hours of work instead of usual hours of work are only available in some countries (Japan and Korea). Data are broken down by professional status - employees, total employment - by sex and standardised age groups (15-24, 25-54, 55+, total). <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient des données sur l'emploi par tranches horaires pour les heures hebdomadaires habituelles travaillées dans l'emploi principal. Les tranches horaires standard sont indiquées pour la plupart des pays. Les heures de travail réelles au lieu des heures de travail habituelles ne sont disponibles que dans certains pays (Japon et Corée). Les données sont ventilées par statut professionnel - salariés, emploi total - par sexe et groupes d'âge standardisés (15-24, 25-54, 55+, total). <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,AGE=_T,WORKER_STATUS=_T DEFAULT Involuntary part time employment Emploi à temps partiel involontaire This dataset contains incidences and gender composition of part-time employment with standardised age groups (15-24, 25-54, 55-64, 65+, total). Part-time employment is based on national definitions. <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient l'incidence et la répartition par sexe de l'emploi à temps partiel avec des groupes d'âge standardisés (15-24, 25-54, 55-64, 65+, total). Le travail à temps partiel et à temps partiel involontaire sont basées sur les définitions nationales. <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,AGE=_T,WORKER_STATUS=_T DEFAULT Incidence of involuntary part time employment Fréquence de l emploi à temps partiel involontaire This dataset contains incidences and gender composition of part-time employment with standardised (15-24, 25-54, 55-64, 65+, total) and detailed age groups. Data are further broken down by professional status - employees, total employment. Part-time employment is based on national definitions. <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient l'incidence et la répartition par sexe de l'emploi à temps partiel avec des tranches d'âge standardisées (15-24, 25-54, 55-64, 65+, total) et détaillées. Les données sont ensuite ventilées par statut professionnel – salariés, emploi total. Le travail à temps partiel et à temps partiel involontaire sont basées sur les définitions nationales. <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true Employment and unemployment by five-year age group and sex - levels Emploi et chômage par groupe d'âge quinquennal et par sexe - niveaux This dataset contains labour force data on labour market status - population, labour force, unemployment and employment - by sex and by detailed age groups and standard age groups (15-24, 25-54, 55-64, 65+, total). <p /> Information for all countries and all LFS subjects may be found in the attached file <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient des données sur la population active concernant la situation du marché du travail - population, population active, chômage et emploi - par sexe et par groupes d'âge détaillés et groupes d'âge standard (15-24, 25-54, 55-64, 65+, total). <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true Employment and unemployment by five-year age group and sex - composition Emploi et chômage par groupe d'âge quinquennal et par sexe - composition This dataset contains the composition by age groups of labour force data on labour market status - population, labour force, unemployment and employment - by sex. <p /> Information for all countries and all LFS subjects may be found in the attached file <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient la composition par groupes d'âge des données sur la population active concernant le statut du marché du travail - population, population active, chômage et emploi - par sexe. <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true Employment and unemployment by five-year age group and sex - indicators Emploi et chômage par groupe d'âge quinquennal et par sexe - indicateurs This dataset contains employment population ratios, unemployment rates and labour force participation rates by sex and by 5-year age groups and aggregated age groups. <p /> Information for all countries and all LFS subjects may be found in the attached file <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient les ratios de population en emploi, les taux de chômage et les taux de participation au marché du travail par sexe et par groupes d'âge de 5 ans et groupes d'âge agrégés. <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA,TIME_HORIZ LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED SEX=_T,AGE=_T,TIME_PERIOD_START=2010,TIME_PERIOD_END=2030 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Population data Données démographiques NonProductionDataflow true MEASURE,AGE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SEX LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,SEX=_T,TIME_PERIOD_START=2010,TIME_PERIOD_END=2022,UNIT_MEASURE=PS DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Historical population data Données démographiques historiques This dataset presents annual population data from 1961 by sex and five year age groups as well as the share of children, youth, the elderly, old-age and total dependency ratios. The data is available for all member countries as well as for the EU27 and G20 countries, Singapore and the World total. <p /> The data refer to mid-year estimates of the population. <p /> See country details in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/MD_POPPROJ.xlsx">Historical population metadata</a>. Cet ensemble de données présente des données démographiques annuelles de 1961 par sexe et tranches d'âge de cinq ans, ainsi que la part des enfants, des jeunes, des personnes âgées, des personnes âgées et les taux de dépendance totale. Les données sont disponibles pour tous les pays membres ainsi que pour les pays de l'UE27 et du G20, Singapour et le total mondial. <p /> Les données se réfèrent à des estimations de population en milieu d'année. <p /> Voir le détail par pays : <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/MD_POPPROJ.xlsx">Historical population metadata</a>. NonProductionDataflow true MEASURE,AGE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SEX LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,SEX=_T,TIME_PERIOD_START=2022,TIME_PERIOD_END=2030,UNIT_MEASURE=PS DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Population projections Projections démographiques This dataset presents annual population projections data up to 2061 by sex and five year age groups as well as the share of children, youth, the elderly, old-age and total dependency ratios. The data is available for all member countries as well as for the EU27 and G20 countries, Singapore and the World total. <p /> The data refer to mid-year estimates of the population. <p /> Population projections are, in most countries, according to medium variant. See country details for the variants retained for each demographic component of total fertility, life expectancy at birth and net annual migration) in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/MD_POPPROJ.xlsx">Population projection metadata</a>. Cet ensemble de données présente des projections démographiques annuelles jusqu'en 2061 par sexe et tranches d'âge de cinq ans, ainsi que la part des enfants, des jeunes, des personnes âgées, des personnes âgées et les taux de dépendance totale. Les données sont disponibles pour tous les pays membres ainsi que pour les pays de l'UE27 et du G20, Singapour et le total mondial. <p /> Les projections démographiques sont, dans la plupart des pays, selon une variante moyenne. Voir le détail par pays pour les variantes retenues pour chaque composante démographique de la fécondité totale, de l'espérance de vie à la naissance et du solde migratoire annuel : <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/MD_POPPROJ.xlsx">Population projection metadata</a>. <p /> Les données se réfèrent à des estimations de population en milieu d'année. NonProductionDataflow true REF_AREA,WORKER_STATUS,MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,AGE=_T,WORKER_STATUS=ICSE93_1+ICSE93_1_U+_U DEFAULT 10000 MAX_TABLE_DATA Employment by permanency of the job Emploi par permanence de l'emploi This dataset contains data on permanent and temporary workers based on the type of work contract of their main job. Data are further broken down by professional status - employees, total employment - by sex and by standardised age groups (15-19, 15-24, 20-24, 25-54, 55-64, 65+, total). <p /> Data are reported for employees. <p /> Temporary employees are wage and salary workers whose job has a pre-determined termination date as opposed to permanent employees whose job is of unlimited duration. They include: i) persons with a seasonal job; ii) persons engaged by an employment agency or business and hired out to a third party for carrying out a “work mission”; iii) persons with specific training contracts (including apprentices, trainees, research assistants, probationary period of a contract, etc.). Country-specific exceptions to this generic definition may be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a> Cet ensemble de données contient des données sur les travailleurs permanents et temporaires en fonction du type de contrat de travail de leur emploi principal. Les données sont ensuite ventilées par statut professionnel - employés, emploi total - par sexe et par groupes d'âge standardisés (15-19, 15-24, 20-24, 25-54, 55-64, 65+, total). <p /> Les données sont rapportées pour les employés. <p /> Les salariés temporaires sont des salariés dont l’emploi a une date de fin prédéterminée, contrairement aux salariés permanents dont l’emploi est à durée indéterminée. Ils comprennent : i) les personnes ayant un emploi saisonnier ; ii) les personnes engagées par une agence de placement ou une entreprise et confiées à un tiers pour effectuer une « mission de travail » ; iii) les personnes ayant des contrats de formation spécifiques (y compris les apprentis, les stagiaires, les assistants de recherche, la période probatoire d’un contrat, etc.). Les exceptions spécifiques à chaque pays à cette définition générique peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a> NonProductionDataflow true REF_AREA,WORKER_STATUS,MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,AGE=_T,WORKER_STATUS=ICSE93_1+ICSE93_1_TEMP DEFAULT 10000 MAX_TABLE_DATA Employment by permanency of the job - Incidence Emploi par permanence de l'emploi - Incidence This dataset contains incidences and gender composition of temporary employment with standardised age groups (15-24, 25-54, 55-64, 65+, total). Data are further broken down by professional status - employees, total employment. <p /> Data are reported for employees. <p /> Temporary employees are wage and salary workers whose job has a pre-determined termination date as opposed to permanent employees whose job is of unlimited duration. They include: i) persons with a seasonal job; ii) persons engaged by an employment agency or business and hired out to a third party for carrying out a “work mission”; iii) persons with specific training contracts (including apprentices, trainees, research assistants, probationary period of a contract, etc.). Country-specific exceptions to this generic definition may be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a> Cet ensemble de données contient les incidences et la composition par sexe de l'emploi temporaire avec des groupes d'âge standardisés (15-24, 25-54, 55-64, 65+, total). Les données sont ensuite ventilées par statut professionnel - employés, emploi total. <p /> Les données sont rapportées pour les employés. <p /> Les employés temporaires sont des travailleurs salariés dont l'emploi a une date de fin prédéterminée par opposition aux employés permanents dont l'emploi est à durée indéterminée. Ils comprennent : i) les personnes ayant un emploi saisonnier ; ii) les personnes engagées par une agence d'emploi ou une entreprise et louées à un tiers pour effectuer une « mission de travail » ; iii) les personnes ayant des contrats de formation spécifiques (y compris les apprentis, les stagiaires, les assistants de recherche, la période d'essai d'un contrat, etc.). Des exceptions spécifiques à chaque pays à cette définition générique peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a> NonProductionDataflow true REF_AREA,MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,AGE=_T,SEX=F,WORKER_STATUS=ICSE93_1_TEMP DEFAULT 10000 MAX_TABLE_DATA Share of women in temporary employment by permanency of the job Part des femmes dans l'emploi temporaire selon la permanence de l'emploi This dataset contains the share of women in temporary employment with standardised age groups (15-24, 25-54, 55-64, 65+, total). <p /> Data are reported for employees. <p /> Temporary employees are wage and salary workers whose job has a pre-determined termination date as opposed to permanent employees whose job is of unlimited duration. They include: i) persons with a seasonal job; ii) persons engaged by an employment agency or business and hired out to a third party for carrying out a “work mission”; iii) persons with specific training contracts (including apprentices, trainees, research assistants, probationary period of a contract, etc.). Country-specific exceptions to this generic definition may be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a> Cet ensemble de données contient la part des femmes occupant un emploi temporaire avec des groupes d'âge standardisés (15-24, 25-54, 55-64, 65+, total). <p /> Les données sont rapportées pour les salariés. <p /> Les salariés temporaires sont des salariés dont l'emploi a une date de fin prédéterminée, par opposition aux salariés permanents dont l'emploi est à durée indéterminée. Ils comprennent : i) les personnes ayant un emploi saisonnier ; ii) les personnes engagées par une agence de placement ou une entreprise et confiées à un tiers pour effectuer une « mission de travail » ; iii) les personnes ayant des contrats de formation spécifiques (y compris les apprentis, les stagiaires, les assistants de recherche, la période d'essai d'un contrat, etc.). Des exceptions spécifiques à chaque pays à cette définition générique peuvent être trouvées dans<a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a> NonProductionDataflow true REF_AREA,TENURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,AGE=_T,MEASURE=TENURE_EMP DEFAULT Employment by job tenure intervals - average job tenure Emploi par intervalles d'ancienneté - ancienneté moyenne dans l'emploi This dataset contains data on the average job tenure of workers by job tenure intervals (in years). Data are broken down by professional status - employees, total employment – sex, five-year and broad age groups (15-24, 25-54, 55-64, 15-64, total, etc.). <p /> Job tenure is measured by the length of time workers have been in their current or main job or with their current employer and are expressed in numbers of years. They can be converted in months by multiplying by a factor of 12 (months). <p /> This information is valuable for estimating the degree of fluidity in the labour market and in identifying the areas of economic activity where the turnover of labour is rapid or otherwise. Data are so far reported for a number of European countries and will be expanded to cover a greater number of countries. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> Information for all countries and all LFS subjects may be found in the attached file <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données contient des données sur l'ancienneté moyenne des travailleurs par intervalles d'ancienneté (en années). Les données sont ventilées par statut professionnel - salariés, emploi total - sexe, quinquennat et grands groupes d'âge (15-24, 25-54, 55-64, 15-64, total, etc.). <p /> L'ancienneté est mesurée par la durée pendant laquelle les travailleurs occupent leur emploi actuel ou principal ou travaillent pour leur employeur actuel et est exprimée en nombre d'années. Elle peut être convertie en mois en multipliant par un facteur de 12 (mois). <p /> Ces informations sont utiles pour estimer le degré de fluidité du marché du travail et pour identifier les domaines d'activité économique où la rotation de la main-d'œuvre est rapide ou non. Les données sont jusqu'à présent rapportées pour un certain nombre de pays européens et seront étendues pour couvrir un plus grand nombre de pays. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true REF_AREA,TENURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,AGE=_T,MEASURE=TENURE_EMP DEFAULT Employment by job tenure intervals - persons Emploi par intervalles d'ancienneté - personnes This dataset contains data on job tenure composition (in persons) by job tenure intervals. Data are broken down by professional status - employees, total employment – sex, five-year and broad age groups (15-24, 25-54, 55-64, 15-64, total, etc.). <p /> Job tenure is measured by the length of time workers have been in their current or main job or with their current employer. <p /> This information is valuable for estimating the degree of fluidity in the labour market and in identifying the areas of economic activity where the turnover of labour is rapid or otherwise. Data are so far reported for a number of European countries and will be expanded to cover a greater number of countries. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> Information for all countries and all LFS subjects may be found in the attached file <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données contient des données sur la composition de l'ancienneté (en personnes) par intervalles d'ancienneté. Les données sont ventilées par statut professionnel - salariés, emploi total - sexe, quinquennat et grands groupes d'âge (15-24, 25-54, 55-64, 15-64, total, etc.). <p /> L'ancienneté est mesurée par la durée pendant laquelle les travailleurs occupent leur emploi actuel ou principal ou travaillent pour leur employeur actuel. <p /> Ces informations sont utiles pour estimer le degré de fluidité du marché du travail et pour identifier les domaines d'activité économique où la rotation de la main-d'œuvre est rapide ou non. Les données sont jusqu'à présent rapportées pour un certain nombre de pays européens et seront étendues pour couvrir un plus grand nombre de pays. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true REF_AREA,TENURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,AGE=_T,MEASURE=TENURE_EMP DEFAULT Employment by job tenure intervals - frequency Emploi par intervalles d'ancienneté - fréquence This dataset contains the tenure composition (as a percentage of all job tenures) by job tenure intervals. Data are broken down by professional status - employees, total employment – sex, five-year and broad age groups (15-24, 25-54, 55-64, 15-64, total, etc.). <p /> Job tenure is measured by the length of time workers have been in their current or main job or with their current employer. <p /> This information is valuable for estimating the degree of fluidity in the labour market and in identifying the areas of economic activity where the turnover of labour is rapid or otherwise. Data are so far reported for a number of European countries and will be expanded to cover a greater number of countries. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> Information for all countries and all LFS subjects may be found in the attached file <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données contient la composition de l'ancienneté (en pourcentage de toutes les anciennes fonctions) par intervalles d'ancienneté. Les données sont ventilées par statut professionnel - salariés, emploi total - sexe, quinquennat et grands groupes d'âge (15-24, 25-54, 55-64, 15-64, total, etc.). <p /> L'ancienneté est mesurée par la durée pendant laquelle les travailleurs occupent leur emploi actuel ou principal ou travaillent pour leur employeur actuel. <p /> Ces informations sont utiles pour estimer le degré de fluidité du marché du travail et pour identifier les domaines d'activité économique où la rotation de la main-d'œuvre est rapide ou non. Les données sont jusqu'à présent rapportées pour un certain nombre de pays européens et seront étendues pour couvrir un plus grand nombre de pays. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Collective bargaining coverage Couverture conventionnelle The database on Institutional Characteristics of Trade Unions, Wage Setting, State Intervention and Social Pacts (ICTWSS) was developed by Prof. Jelle Visser at the University of Amsterdam. It was first released in May 2007. In its initial form, the ICTWSS database combined data from various sources and projects with a main focus on trade union in EU and OECD countries, collective bargaining and employment relations in Europe, and social pacts. In 2021, the ICTWSS database was rebranded as the OECD/AIAS ICTWSS database to reflect the joint effort by the OECD and AIAS-HSI to ensure the continuation of the database following Prof. Visser’s retirement. The OECD/AIAS ICTWSS database is publicly available at: <a href="http://www.oecd.org/employment/ictwss-database.htm" target="_blank"> http://www.oecd.org/employment/ictwss-database.htm</a> La base de données sur les caractéristiques institutionnelles des syndicats, la fixation des salaires, l'intervention de l'État et les pactes sociaux (ICTWSS) a été développée par le professeur Jelle Visser de l'université d'Amsterdam. Elle a été publiée pour la première fois en mai 2007. Dans sa forme initiale, la base de données ICTWSS combinait des données provenant de diverses sources et projets, en mettant l'accent sur les syndicats dans les pays de l'UE et de l'OCDE, les négociations collectives et les relations de travail en Europe, et les pactes sociaux. En 2021, la base de données ICTWSS a été rebaptisée base de données ICTWSS de l'OCDE/AIAS. Ce nouveau nom reflète l'effort conjoint de l'OCDE et de l'AIAS-HSI pour assurer la continuité de la base de données après le départ à la retraite du professeur Visser. La base de données ICTWSS de l'OCDE/AIAS est accessible en ligne à : <a href=https://www.oecd.org/fr/emploi/ictwss-database.htm" target="_blank"> http://www.oecd.orgfr/emploi/ictwss-database.htm</a> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Trade union density Taux de syndicalisation The database on Institutional Characteristics of Trade Unions, Wage Setting, State Intervention and Social Pacts (ICTWSS) was developed by Prof. Jelle Visser at the University of Amsterdam. It was first released in May 2007. In its initial form, the ICTWSS database combined data from various sources and projects with a main focus on trade union in EU and OECD countries, collective bargaining and employment relations in Europe, and social pacts. In 2021, the ICTWSS database was rebranded as the OECD/AIAS ICTWSS database to reflect the joint effort by the OECD and AIAS-HSI to ensure the continuation of the database following Prof. Visser’s retirement. The OECD/AIAS ICTWSS database is publicly available at: <a href="http://www.oecd.org/employment/ictwss-database.htm" target="_blank"> http://www.oecd.org/employment/ictwss-database.htm</a> La base de données sur les caractéristiques institutionnelles des syndicats, la fixation des salaires, l'intervention de l'État et les pactes sociaux (ICTWSS) a été développée par le professeur Jelle Visser de l'université d'Amsterdam. Elle a été publiée pour la première fois en mai 2007. Dans sa forme initiale, la base de données ICTWSS combinait des données provenant de diverses sources et projets, en mettant l'accent sur les syndicats dans les pays de l'UE et de l'OCDE, les négociations collectives et les relations de travail en Europe, et les pactes sociaux. En 2021, la base de données ICTWSS a été rebaptisée base de données ICTWSS de l'OCDE/AIAS. Ce nouveau nom reflète l'effort conjoint de l'OCDE et de l'AIAS-HSI pour assurer la continuité de la base de données après le départ à la retraite du professeur Visser. La base de données ICTWSS de l'OCDE/AIAS est accessible en ligne à : <a href=https://www.oecd.org/fr/emploi/ictwss-database.htm" target="_blank"> http://www.oecd.orgfr/emploi/ictwss-database.htm</a> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SEX,AGE,OPTIONALITY,UNIT_MEASURE LAYOUT_COLUMN 1 LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,FREQ=A,UNIT_MULT=0,SEX=_Z,AGE=_Z NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2022 DEFAULT COMBINED_MEASURE:MEASURE,SEX,AGE,OPTIONALITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 12000 MAX_TABLE_DATA Demographic and economic context The OECD Pensions at a Glance Database has been developed in order to serve a growing need for pensions indicators. It includes reliable and internationally comparable statistics on public and mandatory and voluntary pensions. It covers OECD countries and aims to cover all G20 countries. Pensions at a Glance reviews and analyses the pension measures enacted or legislated in OECD countries for workers entering the labour market at age 22 in the specified year. It provides an in-depth review of the first layer of protection of the elderly, first-tier pensions across countries and provideds a comprehensive selection of pension policy indicators for all OECD and G20 countries.</p> <a href="http://oe.cd/pag">OECD Pensions at a Glance - OECD and G20 indicators</a> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SEX,AGE,OPTIONALITY,UNIT_MEASURE LAYOUT_COLUMN 1 LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,FREQ=A,UNIT_MULT=0,SEX=_Z,AGE=_Z NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2022 DEFAULT COMBINED_MEASURE:MEASURE,SEX,AGE,OPTIONALITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 12000 MAX_TABLE_DATA Design of pension systems The OECD Pensions at a Glance Database has been developed in order to serve a growing need for pensions indicators. It includes reliable and internationally comparable statistics on public and mandatory and voluntary pensions. It covers OECD countries and aims to cover all G20 countries. Pensions at a Glance reviews and analyses the pension measures enacted or legislated in OECD countries for workers entering the labour market at age 22 in the specified year. It provides an in-depth review of the first layer of protection of the elderly, first-tier pensions across countries and provideds a comprehensive selection of pension policy indicators for all OECD and G20 countries.</p> <a href="http://oe.cd/pag">OECD Pensions at a Glance - OECD and G20 indicators</a> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SEX,AGE,OPTIONALITY,UNIT_MEASURE LAYOUT_COLUMN 1 LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,FREQ=A,UNIT_MULT=0,SEX=_Z,AGE=_Z NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_MEASURE:MEASURE,SEX,AGE,OPTIONALITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 12000 MAX_TABLE_DATA Income and poverty of older people The OECD Pensions at a Glance Database has been developed in order to serve a growing need for pensions indicators. It includes reliable and internationally comparable statistics on public and mandatory and voluntary pensions. It covers OECD countries and aims to cover all G20 countries. Pensions at a Glance reviews and analyses the pension measures enacted or legislated in OECD countries for workers entering the labour market at age 22 in the specified year. It provides an in-depth review of the first layer of protection of the elderly, first-tier pensions across countries and provideds a comprehensive selection of pension policy indicators for all OECD and G20 countries.</p> <a href="http://oe.cd/pag">OECD Pensions at a Glance - OECD and G20 indicators</a> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SEX,AGE,OPTIONALITY,UNIT_MEASURE LAYOUT_COLUMN 1 LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,FREQ=A,UNIT_MULT=0,SEX=_Z,AGE=_Z NOT_DISPLAYED TIME_PERIOD_START=2019,TIME_PERIOD_END=2022,MEASURE=CRPLF22+FRPLF22+GPRR100+ATRW+ATRAEP+ATRPPAE+NPRR100+GPW100+NPW100+FR+LE+ER+OAWAR+ELMEA+EYLME+EDIOP+PTOP+OCOP+CIOP+EIOP+AWGW+OAIP+PEP+PPEP DEFAULT COMBINED_MEASURE:MEASURE,SEX,AGE,OPTIONALITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 12000 MAX_TABLE_DATA Pensions at a glance The OECD Pensions at a Glance Database has been developed in order to serve a growing need for pensions indicators. It includes reliable and internationally comparable statistics on public and mandatory and voluntary pensions. It covers OECD countries and aims to cover all G20 countries. Pensions at a Glance reviews and analyses the pension measures enacted or legislated in OECD countries for workers entering the labour market at age 22 in the specified year. It provides an in-depth review of the first layer of protection of the elderly, first-tier pensions across countries and provideds a comprehensive selection of pension policy indicators for all OECD and G20 countries.</p> <a href="http://oe.cd/pag">OECD Pensions at a Glance - OECD and G20 indicators</a> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SEX,AGE,OPTIONALITY,UNIT_MEASURE LAYOUT_COLUMN 1 LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,FREQ=A,UNIT_MULT=0,SEX=_Z,AGE=_Z NOT_DISPLAYED TIME_PERIOD_START=2019,TIME_PERIOD_END=2022 DEFAULT COMBINED_MEASURE:MEASURE,SEX,AGE,OPTIONALITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 12000 MAX_TABLE_DATA Pension replacement rates The OECD Pensions at a Glance Database has been developed in order to serve a growing need for pensions indicators. It includes reliable and internationally comparable statistics on public and mandatory and voluntary pensions. It covers OECD countries and aims to cover all G20 countries. Pensions at a Glance reviews and analyses the pension measures enacted or legislated in OECD countries for workers entering the labour market at age 22 in the specified year. It provides an in-depth review of the first layer of protection of the elderly, first-tier pensions across countries and provideds a comprehensive selection of pension policy indicators for all OECD and G20 countries.</p> <a href="http://oe.cd/pag">OECD Pensions at a Glance - OECD and G20 indicators</a> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SEX,AGE,OPTIONALITY,UNIT_MEASURE LAYOUT_COLUMN 1 LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,FREQ=A,UNIT_MULT=0,SEX=_Z,AGE=_Z NOT_DISPLAYED TIME_PERIOD_START=2019,TIME_PERIOD_END=2022 DEFAULT COMBINED_MEASURE:MEASURE,SEX,AGE,OPTIONALITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 12000 MAX_TABLE_DATA Pension wealth The OECD Pensions at a Glance Database has been developed in order to serve a growing need for pensions indicators. It includes reliable and internationally comparable statistics on public and mandatory and voluntary pensions. It covers OECD countries and aims to cover all G20 countries. Pensions at a Glance reviews and analyses the pension measures enacted or legislated in OECD countries for workers entering the labour market at age 22 in the specified year. It provides an in-depth review of the first layer of protection of the elderly, first-tier pensions across countries and provideds a comprehensive selection of pension policy indicators for all OECD and G20 countries.</p> <a href="http://oe.cd/pag">OECD Pensions at a Glance - OECD and G20 indicators</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN EXPEND_SOURCE,SPENDING_TYPE,PROGRAMME_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,EXPEND_SOURCE=ES50,SPENDING_TYPE=_T,UNIT_MEASURE=PT_B1GQ,PROGRAMME_TYPE=_T DEFAULT PROGRAMME_TYPE:OECD.ELS.SPD:HCL_PROGRAMME_TYPE(1.0).H,SPENDING_TYPE:OECD.ELS.SPD:HCL_SPENDING_TYPE(1.0).H,PRICE_BASE:OECD.ELS.SPD:HCL_PRICE_BASE(1.0).H,UNIT_MEASURE:OECD.ELS.SPD:HCL_UNIT_MEASURE(1.0).H HIER_CONTEXT Net total social expenditure in % GDP Dépenses sociales totales nettes, en % du PIB The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 38 OECD countries for the period 1980-2019/21 and estimates for aggregates for 2020-22. A Social Expenditure Update can be found under <a href="http://www.oecd.org/social/expenditure.htm">www.oecd.org/social/expenditure.htm</a>. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of <a href="http://www.oecd.org/els/soc/NetSOCX-Table-Web.xlsx">net total social spending</a> for 2019 for 38 OECD countries. SOCX aggregated data as well as sources and methodology are described in <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">The OECD SOCX Manual – 2019 edition- A guide to the OECD Social Expenditure Database</a>. La base de données des dépenses sociales de l'OCDE (SOCX) a été développée pour servir un besoin grandissant d'indicateurs de politique sociale. Elle contient des données fiables et comparables internationalement sur les dépenses sociales publiques et privées obligatoires et volontaires par programmes de dépenses. SOCX a ainsi été constituée dans le but de disposer d’un instrument permettant de suivre l’évolution des dépenses sociales dans son ensemble et d’analyser les changements se produisant dans leur composition. Elle contient des séries chronologiques pour la période 1980-2019/21 pour les 38 pays de l'OCDE et des estimations pour les agrégats pour 2020-22. Un point sur les dépenses sociales est disponible sous <a href=" http://www.oecd.org/fr/social/depenses.htm "> www.oecd.org/fr/social/depenses.htm </a>Les dépenses sont réparties entre 9 domaines de la protection sociale : Vieillesse, Survie, Incapacité, Santé, Famille, Programmes actifs du marché du travail, Chômage, Logement et Autres domaines de politique sociale. Cette version comprend aussi des estimations de <a href="http://www.oecd.org/els/soc/NetSOCX-Table-Web.xlsx">dépenses totales nettes</a> pour 2019 pour 38 pays. Les données agrégées de SOCX ainsi que les sources et la méthodologie sont présentées dans <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">Le Manuel SOCX de l'OCDE– Edition 2019 - Un guide de la base de la Base de données de l'OCDE</a> (en anglais uniquement) NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN EXPEND_SOURCE,SPENDING_TYPE,PROGRAMME_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,EXPEND_SOURCE=ES50,SPENDING_TYPE=_T,PROGRAMME_TYPE=_T,UNIT_MEASURE=PT_B1GQ DEFAULT PROGRAMME_TYPE:OECD.ELS.SPD:HCL_PROGRAMME_TYPE(1.0).H,SPENDING_TYPE:OECD.ELS.SPD:HCL_SPENDING_TYPE(1.0).H,PRICE_BASE:OECD.ELS.SPD:HCL_PRICE_BASE(1.0).H,UNIT_MEASURE:OECD.ELS.SPD:HCL_UNIT_MEASURE(1.0).H HIER_CONTEXT Public expenditure on disability and sickness cash benefits in % GDP Dépenses publiques de prestations en espèces d'invalidité et maladie, en % PIB The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 38 OECD countries for the period 1980-2019/21 and estimates for aggregates for 2020-22. A Social Expenditure Update can be found under <a href="http://www.oecd.org/social/expenditure.htm">www.oecd.org/social/expenditure.htm</a>. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of <a href="http://www.oecd.org/els/soc/NetSOCX-Table-Web.xlsx">net total social spending</a> for 2019 for 38 OECD countries. SOCX aggregated data as well as sources and methodology are described in <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">The OECD SOCX Manual – 2019 edition- A guide to the OECD Social Expenditure Database</a>. La base de données des dépenses sociales de l'OCDE (SOCX) a été développée pour servir un besoin grandissant d'indicateurs de politique sociale. Elle contient des données fiables et comparables internationalement sur les dépenses sociales publiques et privées obligatoires et volontaires par programmes de dépenses. SOCX a ainsi été constituée dans le but de disposer d’un instrument permettant de suivre l’évolution des dépenses sociales dans son ensemble et d’analyser les changements se produisant dans leur composition. Elle contient des séries chronologiques pour la période 1980-2019/21 pour les 38 pays de l'OCDE et des estimations pour les agrégats pour 2020-22. Un point sur les dépenses sociales est disponible sous <a href=" http://www.oecd.org/fr/social/depenses.htm "> www.oecd.org/fr/social/depenses.htm </a>Les dépenses sont réparties entre 9 domaines de la protection sociale : Vieillesse, Survie, Incapacité, Santé, Famille, Programmes actifs du marché du travail, Chômage, Logement et Autres domaines de politique sociale. Cette version comprend aussi des estimations de <a href="http://www.oecd.org/els/soc/NetSOCX-Table-Web.xlsx">dépenses totales nettes</a> pour 2019 pour 38 pays. Les données agrégées de SOCX ainsi que les sources et la méthodologie sont présentées dans <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">Le Manuel SOCX de l'OCDE– Edition 2019 - Un guide de la base de la Base de données de l'OCDE</a> (en anglais uniquement) NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN EXPEND_SOURCE,SPENDING_TYPE,PROGRAMME_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,EXPEND_SOURCE=ES50,SPENDING_TYPE=_T,PROGRAMME_TYPE=_T,UNIT_MEASURE=PT_B1GQ DEFAULT PROGRAMME_TYPE:OECD.ELS.SPD:HCL_PROGRAMME_TYPE(1.0).H,SPENDING_TYPE:OECD.ELS.SPD:HCL_SPENDING_TYPE(1.0).H,PRICE_BASE:OECD.ELS.SPD:HCL_PRICE_BASE(1.0).H,UNIT_MEASURE:OECD.ELS.SPD:HCL_UNIT_MEASURE(1.0).H HIER_CONTEXT Public expenditure on family by type of expenditure (cash and in kind) in % GDP Dépenses publiques pour la famille selon le type de dépense (en espèces et en nature), en % du PIB The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 38 OECD countries for the period 1980-2019/21 and estimates for aggregates for 2020-22. A Social Expenditure Update can be found under <a href="http://www.oecd.org/social/expenditure.htm">www.oecd.org/social/expenditure.htm</a>. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of <a href="http://www.oecd.org/els/soc/NetSOCX-Table-Web.xlsx">net total social spending</a> for 2019 for 38 OECD countries. SOCX aggregated data as well as sources and methodology are described in <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">The OECD SOCX Manual – 2019 edition- A guide to the OECD Social Expenditure Database</a>. La base de données des dépenses sociales de l'OCDE (SOCX) a été développée pour servir un besoin grandissant d'indicateurs de politique sociale. Elle contient des données fiables et comparables internationalement sur les dépenses sociales publiques et privées obligatoires et volontaires par programmes de dépenses. SOCX a ainsi été constituée dans le but de disposer d’un instrument permettant de suivre l’évolution des dépenses sociales dans son ensemble et d’analyser les changements se produisant dans leur composition. Elle contient des séries chronologiques pour la période 1980-2019/21 pour les 38 pays de l'OCDE et des estimations pour les agrégats pour 2020-22. Un point sur les dépenses sociales est disponible sous <a href=" http://www.oecd.org/fr/social/depenses.htm "> www.oecd.org/fr/social/depenses.htm </a>Les dépenses sont réparties entre 9 domaines de la protection sociale : Vieillesse, Survie, Incapacité, Santé, Famille, Programmes actifs du marché du travail, Chômage, Logement et Autres domaines de politique sociale. Cette version comprend aussi des estimations de <a href="http://www.oecd.org/els/soc/NetSOCX-Table-Web.xlsx">dépenses totales nettes</a> pour 2019 pour 38 pays. Les données agrégées de SOCX ainsi que les sources et la méthodologie sont présentées dans <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">Le Manuel SOCX de l'OCDE– Edition 2019 - Un guide de la base de la Base de données de l'OCDE</a> (en anglais uniquement) NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN EXPEND_SOURCE,SPENDING_TYPE,PROGRAMME_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,EXPEND_SOURCE=ES50,SPENDING_TYPE=_T,PROGRAMME_TYPE=_T,UNIT_MEASURE=PT_B1GQ DEFAULT PROGRAMME_TYPE:OECD.ELS.SPD:HCL_PROGRAMME_TYPE(1.0).H,SPENDING_TYPE:OECD.ELS.SPD:HCL_SPENDING_TYPE(1.0).H,PRICE_BASE:OECD.ELS.SPD:HCL_PRICE_BASE(1.0).H,UNIT_MEASURE:OECD.ELS.SPD:HCL_UNIT_MEASURE(1.0).H HIER_CONTEXT Public expenditure on old-age and survivors cash benefits in % GDP Dépenses publiques de prestations en espèces de retraite et de réversion, en % PIB The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 38 OECD countries for the period 1980-2019/21 and estimates for aggregates for 2020-22. A Social Expenditure Update can be found under <a href="http://www.oecd.org/social/expenditure.htm">www.oecd.org/social/expenditure.htm</a>. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of <a href="http://www.oecd.org/els/soc/NetSOCX-Table-Web.xlsx">net total social spending</a> for 2019 for 38 OECD countries. SOCX aggregated data as well as sources and methodology are described in <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">The OECD SOCX Manual – 2019 edition- A guide to the OECD Social Expenditure Database</a>. La base de données des dépenses sociales de l'OCDE (SOCX) a été développée pour servir un besoin grandissant d'indicateurs de politique sociale. Elle contient des données fiables et comparables internationalement sur les dépenses sociales publiques et privées obligatoires et volontaires par programmes de dépenses. SOCX a ainsi été constituée dans le but de disposer d’un instrument permettant de suivre l’évolution des dépenses sociales dans son ensemble et d’analyser les changements se produisant dans leur composition. Elle contient des séries chronologiques pour la période 1980-2019/21 pour les 38 pays de l'OCDE et des estimations pour les agrégats pour 2020-22. Un point sur les dépenses sociales est disponible sous <a href=" http://www.oecd.org/fr/social/depenses.htm "> www.oecd.org/fr/social/depenses.htm </a>Les dépenses sont réparties entre 9 domaines de la protection sociale : Vieillesse, Survie, Incapacité, Santé, Famille, Programmes actifs du marché du travail, Chômage, Logement et Autres domaines de politique sociale. Cette version comprend aussi des estimations de <a href="http://www.oecd.org/els/soc/NetSOCX-Table-Web.xlsx">dépenses totales nettes</a> pour 2019 pour 38 pays. Les données agrégées de SOCX ainsi que les sources et la méthodologie sont présentées dans <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">Le Manuel SOCX de l'OCDE– Edition 2019 - Un guide de la base de la Base de données de l'OCDE</a> (en anglais uniquement) NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN EXPEND_SOURCE,SPENDING_TYPE,PROGRAMME_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,EXPEND_SOURCE=ES50,SPENDING_TYPE=_T,PROGRAMME_TYPE=_T,UNIT_MEASURE=PT_B1GQ DEFAULT PROGRAMME_TYPE:OECD.ELS.SPD:HCL_PROGRAMME_TYPE(1.0).H,SPENDING_TYPE:OECD.ELS.SPD:HCL_SPENDING_TYPE(1.0).H,PRICE_BASE:OECD.ELS.SPD:HCL_PRICE_BASE(1.0).H,UNIT_MEASURE:OECD.ELS.SPD:HCL_UNIT_MEASURE(1.0).H HIER_CONTEXT Public and private social expenditure Dépenses sociales publiques et privées par pays The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 38 OECD countries for the period 1980-2019/21 and estimates for aggregates for 2020-22. A Social Expenditure Update can be found under <a href="http://www.oecd.org/social/expenditure.htm">www.oecd.org/social/expenditure.htm</a>. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of <a href="http://www.oecd.org/els/soc/NetSOCX-Table-Web.xlsx">net total social spending</a> for 2019 for 38 OECD countries. SOCX aggregated data as well as sources and methodology are described in <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">The OECD SOCX Manual – 2019 edition- A guide to the OECD Social Expenditure Database</a>. La base de données des dépenses sociales de l'OCDE (SOCX) a été développée pour servir un besoin grandissant d'indicateurs de politique sociale. Elle contient des données fiables et comparables internationalement sur les dépenses sociales publiques et privées obligatoires et volontaires par programmes de dépenses. SOCX a ainsi été constituée dans le but de disposer d’un instrument permettant de suivre l’évolution des dépenses sociales dans son ensemble et d’analyser les changements se produisant dans leur composition. Elle contient des séries chronologiques pour la période 1980-2019/21 pour les 38 pays de l'OCDE et des estimations pour les agrégats pour 2020-22. Un point sur les dépenses sociales est disponible sous <a href=" http://www.oecd.org/fr/social/depenses.htm "> www.oecd.org/fr/social/depenses.htm </a>Les dépenses sont réparties entre 9 domaines de la protection sociale : Vieillesse, Survie, Incapacité, Santé, Famille, Programmes actifs du marché du travail, Chômage, Logement et Autres domaines de politique sociale. Cette version comprend aussi des estimations de <a href="http://www.oecd.org/els/soc/NetSOCX-Table-Web.xlsx">dépenses totales nettes</a> pour 2019 pour 38 pays. Les données agrégées de SOCX ainsi que les sources et la méthodologie sont présentées dans <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">Le Manuel SOCX de l'OCDE– Edition 2019 - Un guide de la base de la Base de données de l'OCDE</a> (en anglais uniquement) NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN EXPEND_SOURCE,SPENDING_TYPE,PROGRAMME_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,EXPEND_SOURCE=ES10,SPENDING_TYPE=_T,UNIT_MEASURE=PT_B1GQ,PROGRAMME_TYPE=_T DEFAULT PROGRAMME_TYPE:OECD.ELS.SPD:HCL_PROGRAMME_TYPE(1.0).H,SPENDING_TYPE:OECD.ELS.SPD:HCL_SPENDING_TYPE(1.0).H,PRICE_BASE:OECD.ELS.SPD:HCL_PRICE_BASE(1.0).H,UNIT_MEASURE:OECD.ELS.SPD:HCL_UNIT_MEASURE(1.0).H HIER_CONTEXT Social expenditure aggregates Agrégats de dépenses sociales The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 38 OECD countries for the period 1980-2019/21 and estimates for aggregates for 2020-22. A Social Expenditure Update can be found under <a href="http://www.oecd.org/social/expenditure.htm">www.oecd.org/social/expenditure.htm</a>. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of <a href="http://www.oecd.org/els/soc/NetSOCX-Table-Web.xlsx">net total social spending</a> for 2019 for 38 OECD countries. SOCX aggregated data as well as sources and methodology are described in <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">The OECD SOCX Manual – 2019 edition- A guide to the OECD Social Expenditure Database</a>. La base de données des dépenses sociales de l'OCDE (SOCX) a été développée pour servir un besoin grandissant d'indicateurs de politique sociale. Elle contient des données fiables et comparables internationalement sur les dépenses sociales publiques et privées obligatoires et volontaires par programmes de dépenses. SOCX a ainsi été constituée dans le but de disposer d’un instrument permettant de suivre l’évolution des dépenses sociales dans son ensemble et d’analyser les changements se produisant dans leur composition. Elle contient des séries chronologiques pour la période 1980-2019/21 pour les 38 pays de l'OCDE et des estimations pour les agrégats pour 2020-22. Un point sur les dépenses sociales est disponible sous <a href=" http://www.oecd.org/fr/social/depenses.htm "> www.oecd.org/fr/social/depenses.htm </a>Les dépenses sont réparties entre 9 domaines de la protection sociale : Vieillesse, Survie, Incapacité, Santé, Famille, Programmes actifs du marché du travail, Chômage, Logement et Autres domaines de politique sociale. Cette version comprend aussi des estimations de <a href="http://www.oecd.org/els/soc/NetSOCX-Table-Web.xlsx">dépenses totales nettes</a> pour 2019 pour 38 pays. Les données agrégées de SOCX ainsi que les sources et la méthodologie sont présentées dans <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">Le Manuel SOCX de l'OCDE– Edition 2019 - Un guide de la base de la Base de données de l'OCDE</a> (en anglais uniquement) NonProductionDataflow true GHG LAYOUT_ROW TIME_PERIOD,PLASTIC_LIFEC_S LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED TIME_PERIOD_START=2015 DEFAULT REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Greenhouse gas emissions from Plastic Lifecycle from 2015 to 2019 Émissions de gaz à effet de serre de l’ensemble du cycle de vie des plastiques de 2015 à 2019 <p>The dataset displays greenhouse gas emissions from the plastic lifecycle, in million tonnes of CO2 equivalent (MtCO2e). The dataset provides information at the global level. Details can be found in the Annex of the OECD Global Plastics Outlook.&nbsp;</p> <p><span style="text-decoration: underline;"><em>Aggregation &amp; consolidation:</em></span> Greenhouse gases emissions are aggregated using 100-year global warming potential (GWP) from AR2 (IPCC, 1995).&nbsp;</p> <p><span style="text-decoration: underline;"><em>Other manipulations:</em></span> Emission coefficients by stage and polymer or end-of-life fate are extrapolated from 2015 data using indexes. These indexes are built on scope-2 emissions intensity of primary and secondary plastics production (incl. upstream sectors) from the OECD ENV-Linkages model.</p> <p>&nbsp;</p> <p><strong>Contact:</strong>&nbsp;<a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.nature.com/articles/s41558-019-0459-z">Zheng and Suh (2019)</a></p> <p>&nbsp;</p> <p>&nbsp;</p> <p>La base de donn&eacute;es affiche les &eacute;missions de gaz &agrave; effet de serre provenant de l'ensemble du cycle de vie des plastiques, en millions de tonnes d&apos;&eacute;quivalent CO2 (MtCO2e). La base de donn&eacute;es fournit des informations au niveau mondial. Les informations peuvent &ecirc;tre trouv&eacute;es dans l&apos;Annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE.</p> <p><em>Agr&eacute;gation et consolidation :</em> Les &eacute;missions de gaz &agrave; effet de serre sont agr&eacute;g&eacute;es en utilisant le potentiel de r&eacute;chauffement global sur 100 ans (PRG) de l&apos;AR2 (GIEC, 1995).</p> <p><em>Autres manipulations :</em> Les coefficients d&apos;&eacute;mission par &eacute;tape et par polym&egrave;re ou destin&eacute;e en fin de vie sont extrapol&eacute;s &agrave; partir des donn&eacute;es de 2015 en utilisant des indices. Ces indices sont bas&eacute;s sur l&apos;intensit&eacute; des &eacute;missions de scope 2 de la production de plastiques primaires et secondaires (y compris les secteurs amont) du mod&egrave;le ENV-Linkages de l&apos;OCDE.</p> <p>&nbsp;</p> <p><strong>Contact : </strong> <a href="">env.linkages@oecd.org</a></p> <p><strong>Sources utilisées :&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="">Zheng and Suh (2019)</a></p> <p>&nbsp;</p> <p>&nbsp;</p> NonProductionDataflow true TIME_PERIOD LAYOUT_ROW PLASTIC_LIFEC_S,SCENARIO,GHG LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED TIME_PERIOD_START=2019 DEFAULT REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Projections of Greenhouse Gas Emissions from Plastic Lifecycle Projections des émissions de gaz à effet de serre de l’ensemble du cycle de vie des plastiques <p>The dataset displays projections of greenhouse gas emissions from primary plastics, in million tonnes of CO2 equivalent (t CO2 eq). The dataset provides estimates at the global level under different scenarios. Details can be found in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060. The time horizon of the projections is 2060.</p> <p><span style="text-decoration: underline;"><em>Aggregation &amp; consolidation:</em></span> Greenhouse gases emissions are aggregated using 100-year global warming potential (GWP) from AR2 (IPCC, 1995).&nbsp;</p> <p><span style="text-decoration: underline;"><em>Other manipulations:</em></span> Emission coefficients by stage and polymer or end-of-life fate are extrapolated from 2015 data using indexes. These indexes are built on scope-2 emissions intensity of primary and secondary plastics production (incl. upstream sectors) from the OECD ENV-Linkages model.</p> <p>&nbsp;</p> <p><strong>Contact:</strong>&nbsp;<a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:</strong> <a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>,&nbsp;<a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.nature.com/articles/s41558-019-0459-z">Zheng and Suh (2019)</a></p> <p>&nbsp;</p> <p>&nbsp;</p> <p>La base de donn&eacute;es affiche les projections des &eacute;missions de gaz &agrave; effet de serre provenant des plastiques primaires, en millions de tonnes d'&eacute;quivalent CO2 (t CO2 eq). La base de donn&eacute;es fournit des&nbsp;estimations au niveau mondial pour diff&eacute;rents sc&eacute;narios d&eacute;taill&eacute;s dans l'Annexe des Perspectives Mondiales des Plastiques de l'OCDE: Sc&eacute;narios d&rsquo;action &agrave; l&rsquo;horizon 2060.</p> <p><em>Agr&eacute;gation et consolidation :</em> Les &eacute;missions de gaz &agrave; effet de serre sont agr&eacute;g&eacute;es en utilisant le potentiel de r&eacute;chauffement global sur 100 ans (PRG) de l'AR2 (GIEC, 1995).</p> <p><em>Autres manipulations :</em> Les coefficients d'&eacute;mission par &eacute;tape et par polym&egrave;re ou destin&eacute;e en fin de vie sont extrapol&eacute;s &agrave; partir des donn&eacute;es de 2015 en utilisant des indices. Ces indices sont bas&eacute;s sur l'intensit&eacute; des &eacute;missions de scope 2 de la production de plastiques primaires et secondaires (y compris les secteurs amont) du mod&egrave;le ENV-Linkages de l'OCDE.</p> <p>&nbsp;</p> <p><strong>Contact : </strong> <a>env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es : <a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>,</strong> <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>,&nbsp;<a href="https://www.nature.com/articles/s41558-019-0459-z">Zheng and Suh (2019)</a></p> <p>&nbsp;</p> <p>&nbsp;</p> NonProductionDataflow true REF_AREA,PLASTIC_WATER,MISMANAGED_LITTERED_PLASTIC LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED MEASURE=PL_MLW,TIME_PERIOD_START=1990 DEFAULT COMBINED_CONCEPT:PLASTIC_WATER,MISMANAGED_LITTERED_PLASTIC COMBINED_CONCEPTS COMBINED_CONCEPT:Variable COMBINED_CONCEPT:Variable REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Plastic Leakage - Estimations from 1990 to 2019 Rejets de plastiques de 1990 à 2019 <p>The dataset displays estimations of plastic leakage from mismanaged and littered waste and plastic leakage to aquatic environments, in million tonnes (Mt) of plastic. This dataset provides estimates of plastics leakage for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook.</p> <p><em>Additional information:</em> Plastic leakage estimates from mismanaged waste and litter correspond to the average of the estimates caclulated using the methodology adapted from (Ryberg et al., 2019) and (Cottom, Cook and Velis, 2020) that were applied on OECD ENV-Linkages model outputs. Plastics leakages from all other sources correspond to the estimates caclulated using the methodology adapted from (Ryberg et al., 2019). Plastic leakages to aquatic environments and the subcategory trasport to oceans are estimated by applying the methodology adapted from Lebreton and Andrady (2019), on OECD ENV-Linkages model outputs and plastic leakage from mismanaged and litter. The accumulated stock of plastics leakages in rivers and lakes corresponds to the net cumulative sum of leakages in rivers and lakes from 1951 onwards. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://plasticpollution.leeds.ac.uk/home/toolkits/spot/">Cottom, Cook and Velis (2020)</a>, <a href="https://www.nature.com/articles/s41599-018-0212-7">Lebreton and Andrady (2019)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al. (2019)</a></p> <p>La base de donn&eacute;es affiche les estimations de rejets de plastiques provenant de la mauvaise gestion des d&eacute;chets et de rejets de plastique dans les environnements aquatiques, en millions de tonnes (t) de plastique. Cette base de donn&eacute;es fournit des estimations de rejets de plastique pour les 15 r&eacute;gions globales du model ENV-Linkages de l&apos;OCDE, d&eacute;taill&eacute;s dans l&apos;Annexe des Perspective Mondiale des Plastiques de l&apos;OCDE.</p> <p><em>Informations compl&eacute;mentaires&nbsp;:</em> Les estimations de rejets de plastique provenant de la mauvaise gestion des d&eacute;chets correspondent &agrave; la moyenne des estimations calcul&eacute;es en utilisant la m&eacute;thodologie adapt&eacute;e de (Ryberg et al., 2019) et (Cottom, Cook et Velis, 2020) qui ont &eacute;t&eacute; appliqu&eacute;es aux r&eacute;sultats du mod&egrave;le ENV-Linkages de l&apos;OCDE. Les rejets de plastiques provenant de toutes les autres sources correspondent aux estimations calcul&eacute;es en utilisant la m&eacute;thodologie adapt&eacute;e de (Ryberg et al., 2019). Les rejets de plastique vers les milieux aquatiques et la sous-cat&eacute;gorie du transport vers les oc&eacute;ans sont estim&eacute;es en appliquant la m&eacute;thodologie adapt&eacute;e de Lebreton et Andrady (2019), sur les sorties du mod&egrave;le ENV-Linkages de l&apos;OCDE et les rejets de plastique issues de la mauvaise gestion et des d&eacute;chets. Le stock accumul&eacute; de rejets de plastique dans les rivi&egrave;res et les lacs correspond &agrave; la somme cumulative nette des rejets dans les rivi&egrave;res et les lacs &agrave; partir de 1951. La m&eacute;thodologie compl&egrave;te peut &ecirc;tre trouv&eacute;e dans l&apos;Annexe de la Perspective Mondiale des Plastiques de l&apos;OCDE.</p> <p>&nbsp;</p> <p><strong>Contact :&nbsp;</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es : &nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.nature.com/articles/s41599-018-0212-7">Lebreton and Andrady (2019)</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW PLASTIC_CATEGORY,PLASTIC_SOURCE LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Plastic Leakage in 2019 Rejets de plastiques en 2019 <p>The dataset displays estimations of plastic leakage plastic leakage to the environment in 2019, in million tonnes (Mt) of plastic for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook.</p> <p><em>Additional information:</em> Plastic leakage to the environment include estimates of plastic leakage from various sources. Plastic leakage estimates from mismanaged waste and litter correspond to the average of the estimates caclulated using the methodology adapted from (Ryberg et al., 2019) and (Cottom, Cook and Velis, 2020) that were applied on OECD ENV-Linkages model outputs. Plastics leakages from all other sources correspond to the estimates caclulated using the methodology adapted from (Ryberg et al., 2019). Plastic leakages to aquatic environments and the subcategory trasport to oceans are estimated by applying the methodology adapted from Lebreton and Andrady (2019), on OECD ENV-Linkages model outputs and plastic leakage from mismanaged and litter. The accumulated stock of plastics leakages in rivers and lakes corresponds to the net cumulative sum of leakages in rivers and lakes from 1951 onwards. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://plasticpollution.leeds.ac.uk/home/toolkits/spot/">Cottom, Cook and Velis (2020)</a>, <a href="https://www.nature.com/articles/s41599-018-0212-7">Lebreton and Andrady (2019)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al. (2019)</a></p> <p>La base de donn&eacute;es affiche les rejets de plastiques dans l&apos;environnement en 2019, en millions de tonnes (t) de plastique pour les 15 r&eacute;gions globales du model ENV-Linkages de l&apos;OCDE, d&eacute;taill&eacute;es dans l&apos;Annexe des Perspective Mondiale des Plastiques de l&apos;OCDE.</p> <p><em>Informations compl&eacute;mentaires&nbsp;:</em> Les rejets de plastique dans l&apos;environment incluent les estimations de rejets de plastiques provenant de diff&eacute;rentes sources. Les estimations des rejets de plastique provenant de la mauvaise gestion des d&eacute;chets correspondent &agrave; la moyenne des estimations calcul&eacute;es en utilisant la m&eacute;thodologie adapt&eacute;e de (Ryberg et al., 2019) et (Cottom, Cook et Velis, 2020) qui ont &eacute;t&eacute; appliqu&eacute;es aux r&eacute;sultats du mod&egrave;le OECD ENV-Linkages. Les rejets de plastique provenant de toutes les autres sources correspondent aux estimations calcul&eacute;es en utilisant la m&eacute;thodologie adapt&eacute;e de (Ryberg et al., 2019). Les rejets de plastique vers les milieux aquatiques et la sous-cat&eacute;gorie du transport vers les oc&eacute;ans sont estim&eacute;es en appliquant la m&eacute;thodologie adapt&eacute;e de Lebreton et Andrady (2019), sur les sorties du mod&egrave;le ENV-Linkages de l&apos;OCDE et les rejets de plastique issues de la mauvaise gestion et des d&eacute;chets. Le stock accumul&eacute; de rejets de plastique dans les rivi&egrave;res et les lacs correspond &agrave; la somme cumulative nette des rejets dans les rivi&egrave;res et les lacs &agrave; partir de 1951. La m&eacute;thodologie compl&egrave;te peut &ecirc;tre trouv&eacute;e dans l&apos;Annexe de la Perspective Mondiale des Plastiques de l&apos;OCDE.</p> <p>&nbsp;</p> <p><strong>Contact :&nbsp;</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es : &nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://plasticpollution.leeds.ac.uk/home/toolkits/spot/">Cottom, Cook and Velis (2020)</a>, <a href="https://www.nature.com/articles/s41599-018-0212-7">Lebreton and Andrady (2019)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al. (2019)</a></p> NonProductionDataflow true REF_AREA,SCENARIO,PLASTIC_CATEGORY,PLASTIC_WATER LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED MEASURE=PL_PROJECTION,TIME_PERIOD_START=2019 DEFAULT COMBINED_CONCEPT:PLASTIC_CATEGORY,PLASTIC_WATER COMBINED_CONCEPTS COMBINED_CONCEPT:Variable COMBINED_CONCEPT:Variable REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Projections of Plastic Leakage Projections des rejets de plastiques <p>The dataset displays projections of plastic leakage to aquatic environments and plastic leakage to the environment overall, in million tonnes (t) of plastic. This dataset provides projections of plastics leakage at the global level and by region for different scenarios detailed in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060.</p> <p><em>Additional information:</em> Plastic leakage estimates from mismanaged waste and litter correspond to the average of the estimates caclulated using the methodology adapted from (Ryberg et al., 2019) and (Cottom, Cook and Velis, 2020) that were applied on OECD ENV-Linkages model outputs. Plastics leakages from all other sources correspond to the estimates calculated using the methodology adapted from (Ryberg et al., 2019). Plastic leakages to aquatic environments and the subcategory trasport to oceans are estimated by applying the methodology adapted from Lebreton and Andrady (2019), on OECD ENV-Linkages model outputs and plastic leakage from mismanaged and litter. The accumulated stock of plastics leakages in oceans corresponds to the net cumulative sum of leakages to oceans from 1951 onwards. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://plasticpollution.leeds.ac.uk/home/toolkits/spot/">Cottom, Cook and Velis (2020)</a>, <a href="https://www.nature.com/articles/s41599-018-0212-7">Lebreton and Andrady (2019)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al. (2019)</a></p> <p>La base de donn&eacute;es affiche des projections de rejets de plastique dans les environnements aquatiques et de rejets de plastiques dans l&apos;environnement en g&eacute;n&eacute;ral, en millions de tonnes (t) de plastique. Cette base de donn&eacute;es fournit des projections de rejets de plastiques au niveau mondial et par r&eacute;gion, sous diff&eacute;rents sc&eacute;narios d&eacute;taill&eacute;s dans l&apos;annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE : Sc&eacute;narios d&rsquo;action &agrave; l&rsquo;horizon 2060.</p> <p><em>Informations compl&eacute;mentaires&nbsp;:</em> Les estimations des rejets de plastiques provenant des d&eacute;chets mal g&eacute;r&eacute;s et des d&eacute;chets sauvages correspondent &agrave; la moyenne des estimations calcul&eacute;es &agrave; l&apos;aide de la m&eacute;thodologie adapt&eacute;e de (Ryberg et al., 2019) et (Cottom, Cook et Velis, 2020) qui ont &eacute;t&eacute; appliqu&eacute;es sur les sorties du mod&egrave;le ENV-Linkages de l&apos;OCDE. Les rejets de plastique provenant de toutes les autres sources correspondent aux estimations calcul&eacute;es &agrave; l&apos;aide de la m&eacute;thodologie adapt&eacute;e de (Ryberg et al., 2019). Les rejets de plastique vers les milieux aquatiques et la sous-cat&eacute;gorie du transport vers les oc&eacute;ans sont estim&eacute;es en appliquant la m&eacute;thodologie adapt&eacute;e de Lebreton et Andrady (2019), sur les sorties du mod&egrave;le ENV-Linkages de l&apos;OCDE et les rejets de plastique issues de la mauvaise gestion et des d&eacute;chets. Le stock accumul&eacute; de rejets de plastique dans les rivi&egrave;res et les lacs correspond &agrave; la somme cumulative nette des rejets dans les rivi&egrave;res et les lacs &agrave; partir de 1951. La m&eacute;thodologie compl&egrave;te peut &ecirc;tre trouv&eacute;e dans l&apos;annexe des Perspectives Mondiales des plastiques de l&apos;OCDE : Sc&eacute;narios d&rsquo;action &agrave; l&rsquo;horizon 2060.</p> <p><strong>Contact :</strong> <a>env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es :&nbsp;</strong><a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://plasticpollution.leeds.ac.uk/home/toolkits/spot/">Cottom, Cook and Velis (2020)</a>, <a href="https://www.nature.com/articles/s41599-018-0212-7">Lebreton and Andrady (2019)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al. (2019)</a></p> NonProductionDataflow true REF_AREA,PLASTIC_POLYMER,PLASTIC_APP,PLASTIC_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED MEASURE=PU_APP,TIME_PERIOD_START=1990 DEFAULT COMBINED_CONCEPT:PLASTIC_POLYMER,PLASTIC_APP,PLASTIC_TYPE COMBINED_CONCEPTS COMBINED_CONCEPT:Variable COMBINED_CONCEPT:Variable REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Plastics Use - Estimations from 1990 to 2019 Utilisation des plastiques de 1990 à 2019 <p>The dataset displays estimations of plastic use by application, polymer, type and region, in million tonnes (t) of plastic. This dataset provides estimates of plastic use at the global level and for the 15 global regions of the OECD ENV-Linkages model. Details can be found in the Annex of the OECD Global Plastics Outlook.&nbsp;</p> <p><em>Additional information:</em> Primary plastics use is estimated using regional consumption by application data from Ryberg et al. (2019). An assumption of the split by polymer and by application is made that it is homogenous to the global values. Historical values (pre-2015 data) is extrapolated from 2015 data using the global evolution contained in Geyer, Jambeck and Law (2017). Secondary plastics use is derived using recycling rates and recycling loss rates, as described in the Annex of the OECD Global Plastics Outlook. The plastics use data is associated with the economic flows in the OECD ENV-Linkages model to estimate changes over time. The total plastics use is equal to the sum of primary and secondary plastics use. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al.(2019)</a></p> <p>La base de donn&eacute;es affiche les estimations de l&apos;utilisation des plastiques par application, par polym&egrave;re, par type de plastique et par r&eacute;gion, en millions de tonnes (Mt) de plastique. Cette base de donn&eacute;es fournit des estimations de l&apos;utilisation des plastiques au niveau mondial et pour les 15 r&eacute;gions mondiales du mod&egrave;le ENV-Linkages de l&apos;OCDE. Les informations peuvent &ecirc;tre trouv&eacute;es en annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE.</p> <p>Informations compl&eacute;mentaires&nbsp;: L&apos;utilisation primaire des plastiques est estim&eacute;e en utilisant les donn&eacute;es de consommation r&eacute;gionale par application de Ryberg et al. (2019). Une hypoth&egrave;se de r&eacute;partition par polym&egrave;re et par application est faite en supposant qu&apos;elle est homog&egrave;ne aux valeurs mondiales. Les valeurs historiques (donn&eacute;es ant&eacute;rieures &agrave; 2015) sont extrapol&eacute;es &agrave; partir des donn&eacute;es de 2015 en utilisant l&apos;&eacute;volution mondiale contenue dans Geyer, Jambeck et Law (2017). L&apos;utilisation secondaire des plastiques est d&eacute;riv&eacute;e en utilisant les taux de recyclage et les taux de perte de recyclage, comme d&eacute;crit dans l&apos;annexe de la Perspectives mondiales sur les plastiques de l&apos;OCDE. Les donn&eacute;es sur l&apos;utilisation des plastiques sont associ&eacute;es aux flux &eacute;conomiques dans le mod&egrave;le ENV-Linkages de l&apos;OCDE pour estimer les changements au fil du temps. L&apos;utilisation totale des plastiques est &eacute;gale &agrave; la somme de l&apos;utilisation primaire et de l&apos;utilisation secondaire des plastiques. La m&eacute;thodologie compl&egrave;te peut &ecirc;tre trouv&eacute;e dans les annexes de la Perspectives mondiales sur les plastiques de l&apos;OCDE.</p> <p>&nbsp;</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es :&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al.(2019)</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW PLASTIC_POLYMER,PLASTIC_APP LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Plastics Use in 2019 Utilisation des plastiques en 2019 <p>The dataset displays estimations of plastic use &nbsp;in 2019, in million tonnes (t) of plastic for the 15 global regions of the OECD ENV-Linkages model. Details can be found in the Annex of the OECD Global Plastics Outlook.&nbsp;</p> <p><em>Additional information:</em> Primary plastics use is estimated using regional consumption by application data from Ryberg et al. (2019). An assumption of the split by polymer and by application is made that it is homogenous to the global values. Historical values (pre-2015 data) is extrapolated from 2015 data using the global evolution contained in Geyer, Jambeck and Law (2017). Secondary plastics use is derived using recycling rates and recycling loss rates, as described in the Annex of the OECD Global Plastics Outlook. The plastics use data is associated with the economic flows in the OECD ENV-Linkages model to estimate changes over time. The total plastics use is equal to the sum of primary and secondary plastics use. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al.(2019)</a></p> <p>La base de donn&eacute;es affiche les estimations de l&apos;utilisation des plastiques en 2019, en millions de tonnes (Mt) de plastique pour les 15 r&eacute;gions mondiales du mod&egrave;le ENV-Linkages de l&apos;OCDE. Les informations peuvent &ecirc;tre trouv&eacute;es en annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE.</p> <p>Informations compl&eacute;mentaires&nbsp;: L&apos;utilisation primaire des plastiques est estim&eacute;e en utilisant les donn&eacute;es de consommation r&eacute;gionale par application de Ryberg et al. (2019). Une hypoth&egrave;se de r&eacute;partition par polym&egrave;re et par application est faite en supposant qu&apos;elle est homog&egrave;ne aux valeurs mondiales. Les valeurs historiques (donn&eacute;es ant&eacute;rieures &agrave; 2015) sont extrapol&eacute;es &agrave; partir des donn&eacute;es de 2015 en utilisant l&apos;&eacute;volution mondiale contenue dans Geyer, Jambeck et Law (2017). L&apos;utilisation secondaire des plastiques est d&eacute;riv&eacute;e en utilisant les taux de recyclage et les taux de perte de recyclage, comme d&eacute;crit dans l&apos;annexe de la Perspectives mondiales sur les plastiques de l&apos;OCDE. Les donn&eacute;es sur l&apos;utilisation des plastiques sont associ&eacute;es aux flux &eacute;conomiques dans le mod&egrave;le ENV-Linkages de l&apos;OCDE pour estimer les changements au fil du temps. L&apos;utilisation totale des plastiques est &eacute;gale &agrave; la somme de l&apos;utilisation primaire et de l&apos;utilisation secondaire des plastiques. La m&eacute;thodologie compl&egrave;te peut &ecirc;tre trouv&eacute;e dans les annexes de la Perspectives mondiales sur les plastiques de l&apos;OCDE.</p> <p>&nbsp;</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es :&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al.(2019)</a></p> NonProductionDataflow true REF_AREA,SCENARIO,PLASTIC_POLYMER,PLASTIC_APP,PLASTIC_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED MEASURE=PU_APP_PROJECTION,TIME_PERIOD_START=2019 DEFAULT COMBINED_CONCEPT:PLASTIC_POLYMER,PLASTIC_APP,PLASTIC_TYPE COMBINED_CONCEPTS COMBINED_CONCEPT:Variable COMBINED_CONCEPT:Variable REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Projections of Plastics Use Projections des utilisations de plastiques <p>The dataset displays projections of plastic use by application, polymer, type, region and of plastic use overall, in million tonnes (t) of plastic. This dataset provides estimates of plastic use at the global level and for the 15 global regions of the OECD ENV-Linkages model under different scenarios, detailed in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060. The time horizon of the projections is 2060.</p> <p><em>Additional information:</em> Primary plastics use is estimated using regional consumption by application data from Ryberg et al. (2019). Historical values (pre-2015 data) is extrapolated from 2015 data using the global evolution contained in Geyer, Jambeck and Law (2017). Secondary plastics use is derived using recycling rates and recycling loss rates, as described in the Annex of the OECD Global Plastics Outlook. The plastics use data is associated with the economic flows in the OECD ENV-Linkages model to estimate changes over time. The total plastics use is equal to the sum of primary and secondary plastics use. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al.(2019)</a></p> <p>La base de donn&eacute;es affiche les projections de l&apos;utilisation du plastique par application, par polym&egrave;re, par type de plastique, par r&eacute;gion et de l&apos;utilisation des plastiques en g&eacute;n&eacute;ral, en millions de tonnes (t) de plastique. Cette base de donn&eacute;es fournit des estimations de l&apos;utilisation du plastique au niveau mondial et pour les 15 r&eacute;gions mondiales du mod&egrave;le ENV-Linkages de l&apos;OCDE selon diff&eacute;rents sc&eacute;narios, d&eacute;taill&eacute;s dans l&apos;Annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE : Sc&eacute;narios d&rsquo;action &agrave; l&rsquo;horizon 2060. L&apos;horizon des projections est 2060.</p> <p><em>Informations compl&eacute;mentaires&nbsp;</em>: L&apos;utilisation principale des plastiques est estim&eacute;e en utilisant les donn&eacute;es de consommation r&eacute;gionale par application de Ryberg et al. (2019). Les valeurs historiques (donn&eacute;es ant&eacute;rieures &agrave; 2015) sont extrapol&eacute;es &agrave; partir des donn&eacute;es de 2015 en utilisant l&apos;&eacute;volution mondiale contenue dans Geyer, Jambeck et Law (2017). L&apos;utilisation secondaire des plastiques est d&eacute;riv&eacute;e en utilisant les taux de recyclage et les taux de perte de recyclage, comme d&eacute;crit dans l&apos;Annexe des Perspectives Mondiales des plastiques de l&apos;OCDE. Les donn&eacute;es sur l&apos;utilisation des plastiques sont associ&eacute;es aux flux &eacute;conomiques dans le mod&egrave;le ENV-Linkages de l&apos;OCDE pour estimer les changements au fil du temps. L&apos;utilisation totale des plastiques est &eacute;gale &agrave; la somme de l&apos;utilisation principale et de l&apos;utilisation secondaire des plastiques. La m&eacute;thodologie compl&egrave;te peut &ecirc;tre trouv&eacute;e dans l&apos;Annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE : Sc&eacute;narios d&rsquo;action &agrave; l&rsquo;horizon 2060.</p> <p><strong>Contact :</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es :&nbsp;</strong><a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al.(2019)</a></p> NonProductionDataflow true REF_AREA,PLASTIC_END_LIFE,PLASTIC_RECYCLING LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED MEASURE=PW_RECYCL,TIME_PERIOD_START=1990 DEFAULT COMBINED_CONCEPT:PLASTIC_RECYCLING,PLASTIC_END_LIFE COMBINED_CONCEPTS COMBINED_CONCEPT:Variable COMBINED_CONCEPT:Variable REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Plastic Waste - Estimations from 1990 to 2019 Déchets plastiques de 1990 à 2019 <p>The dataset displays estimations of plastic waste by end-of-life fate and collected for recycling, in million tonnes (t) of plastic. This dataset provides estimates of plastics waste for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook.&nbsp;</p> <p><em>Additional information:</em> Plastic waste is calculated as a function of plastics use (in volumes), following Geyer, Jambeck and Law (2017), using a methodology based on lifespan distributions. Plastic waste collected for recycling is estimated by applying the shares of collected for recycling on plastics waste. Plastic waste is divided into different waste management streams (end-of-life fates) by applying end-of-life shares that vary across countries and that account for account for recycling losses and collected litter. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017</a>)</p> <p>La base de donn&eacute;es affiche les estimations des d&eacute;chets plastiques par mode de gestion en fin de vie et collect&eacute;s pour recyclage, en millions de tonnes (Mt) de plastique. Cette base de donn&eacute;es fournit des estimations des d&eacute;chets plastiques pour les 15 r&eacute;gions mondiales du mod&egrave;le ENV-Linkages de l&apos;OCDE, d&eacute;taill&eacute;es en annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE.</p> <p><em>Informations compl&eacute;mentaires :</em> Les d&eacute;chets plastiques sont calcul&eacute;s en fonction de l&apos;utilisation des plastiques (en volumes), en utilisant une m&eacute;thodologie bas&eacute;e sur des distributions de dur&eacute;e de vie, selon Geyer, Jambeck et Law (2017). Les d&eacute;chets plastiques sont divis&eacute;s en diff&eacute;rents flux de gestion des d&eacute;chets (modes de gstion en fin de vie) en appliquant des parts de fin de vie qui varient selon les pays et qui tiennent compte des pertes de recyclage et des d&eacute;chets collect&eacute;s. La m&eacute;thodologie utilis&eacute;e est expliqu&eacute;e dans l&apos;annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE.</p> <p><strong>Contact :</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es :&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017</a>)</p> NonProductionDataflow true REF_AREA LAYOUT_ROW PLASTIC_POLYMER,PLASTIC_APP LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Plastic Waste in 2019 Déchets plastiques en 2019 <p>The dataset displays estimations of plastic waste in 2019, in million tonnes (t) of plastic for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook.&nbsp;</p> <p><em>Additional information:</em> Plastic waste is calculated as a function of plastics use (in volumes), following Geyer, Jambeck and Law (2017), using a methodology based on lifespan distributions. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017</a>)</p> <p>La base de donn&eacute;es affiche les estimations des d&eacute;chets plastiques en 2019, en millions de tonnes (Mt) de plastique pour les 15 r&eacute;gions mondiales du mod&egrave;le ENV-Linkages de l&apos;OCDE, d&eacute;taill&eacute;es en annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE.</p> <p><em>Informations compl&eacute;mentaires :</em> Les d&eacute;chets plastiques sont calcul&eacute;s en fonction de l&apos;utilisation des plastiques (en volumes), en utilisant une m&eacute;thodologie bas&eacute;e sur des distributions de dur&eacute;e de vie, selon Geyer, Jambeck et Law (2017). La m&eacute;thodologie utilis&eacute;e est expliqu&eacute;e dans l&apos;annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE.</p> <p><strong>Contact :</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es :&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017</a>)</p> NonProductionDataflow true REF_AREA,TIME_PERIOD,SCENARIO LAYOUT_ROW PLASTIC_END_LIFE LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED MEASURE=PW_EL_PROJECTION,TIME_PERIOD_START=2019 DEFAULT REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Projections of Plastic Waste Projections des déchets plastiques <p>The dataset displays projections of plastic waste by end-of-life fate and overall plastic waste, in million tonnes (t) of plastic. This dataset provides estimates of plastics waste for the 15 global regions of the OECD ENV-Linkages model under the baseline scenario, detailed in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060. The time horizon for the projections is 2060.</p> <p><em>Additional information:</em> Plastic waste is calculated as a function of plastics use (in volumes), following Geyer, Jambeck and Law (2017), using a methodology based on lifespan distributions. Plastic waste collected for recycling is estimated by applying the shares of collected for recycling on plastics waste. Plastic waste is divided into different waste management streams (end-of-life fates) by applying end-of-life shares that vary across countries and that account for account for recycling losses and collected litter. The complete methodology can be found in the Annexes of the OECD Global Plastics Outlook: Policy Scenarios to 2060.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017</a>)</p> <p>La base de donn&eacute;es affiche les projections des d&eacute;chets plastiques par mode de gestion en fin de vie et des d&eacute;chets plastiques en g&eacute;n&eacute;ral, en millions de tonnes (Mt) de plastique. Cette base de donn&eacute;es fournit des estimations des d&eacute;chets plastiques pour les 15 r&eacute;gions mondiales du mod&egrave;le ENV-Linkages de l&apos;OCDE selon le sc&eacute;nario de r&eacute;f&eacute;rence, d&eacute;taill&eacute;es en annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE : Sc&eacute;narios d&rsquo;action &agrave; l&rsquo;horizon 2060. L&apos;horizon temporel pour les projections est 2060.</p> <p><em>Informations compl&eacute;mentaires :</em> Les d&eacute;chets plastiques sont calcul&eacute;s en fonction de l&apos;utilisation des plastiques (en volumes), en utilisant une m&eacute;thodologie bas&eacute;e sur des distributions de dur&eacute;e de vie, selon Geyer, Jambeck et Law (2017). Les d&eacute;chets plastiques collect&eacute;s pour le recyclage sont estim&eacute;s en appliquant les proportions collect&eacute;es pour le recyclage sur les d&eacute;chets plastiques. Les d&eacute;chets plastiques sont divis&eacute;s en diff&eacute;rents flux de gestion des d&eacute;chets (modes de gstion en fin de vie) en appliquant des parts de fin de vie qui varient selon les pays et qui tiennent compte des pertes de recyclage et des d&eacute;chets collect&eacute;s. La m&eacute;thodologie utilis&eacute;e pour calculer les parts en fin de vie est expliqu&eacute;e dans l&apos;annexe des Perspectives mondiales des plastiques de l&apos;OCDE : Sc&eacute;narios d&rsquo;action &agrave; l&rsquo;horizon 2060.</p> <p><strong>Contact :</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es : </strong><a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017</a>)</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN POLLUTANT,MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2 LAYOUT_FLAG OBS_STATUS=A,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED TIME_PERIOD_START=2010,POLLUTANT=SOX,MEASURE=T_EM_MM,UNIT_MEASURE=T DEFAULT UNIT_MEASURE,UNIT_MULT,BASE_PER UNIT_MEASURE_CONCEPTS Air emissions - Air pollutants Inventories Émissions atmosphériques - Inventaires des polluants atmosphériques <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset provides selected information on national emissions of air pollutants: man-made emissions of sulphur oxides (SOx), nitrogen oxides (NOx), particulate matter (PM), carbon monoxide (CO) and volatile organic compounds (VOC). Categories presented are based on the NFR (nomenclature for reporting) 2014 classification. Details of regroupings can be found in the&nbsp;</span><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02cb2531-6e8e-4ff2-951a-97d4720a441b"><span style='font-family:"Arial",sans-serif;'>table of correspondence</span></a><span style='font-family:"Arial",sans-serif;'>. Data exclude non man-made emissions and international aviation and maritime transports emissions. For some countries residential mobile emissions (e.g. mowers) are included into &ldquo;Other combustion&rdquo; instead of &ldquo;Other mobile&rdquo;.&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: (1) The Convention on Long-Range Transboundary Air Pollution (LRTAP Convention), UNECE-EMEP emissions Database, WebDab 2024, as of July 2024.&nbsp;</span><a href="https://www.ceip.at/webdab-emission-database"><span style='font-family:"Arial",sans-serif;'>EMEP Official</span></a><span style='font-family:"Arial",sans-serif;'>; (2)&nbsp;</span><a href="https://unfccc.int/ghg-inventories-annex-i-parties/2023"><span style='font-family:"Arial",sans-serif;'>National Inventory Submissions 2023</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;(as of August 2023) to the United Nations Framework Convention on Climate Change (UNFCCC, CRF tables); (3) Replies to the OECD Questionnaire on the State of the Environment and comments from member countries.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: July 2024</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8f7301fb-e509-45da-ada1-950b3f18a55a"><span style='font-family:"Arial",sans-serif;background:white;'>Database documentation</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es fournit des informations sur les &eacute;missions anthropiques d&apos;oxydes de soufre (SOx), d&apos;oxydes d&apos;azote (NOx), de particules (PM), de monoxyde de carbone (CO) et de compos&eacute;s organiques volatils (COV). Les cat&eacute;gories sont bas&eacute;es sur la classification NFR (nomenclature for reporting) 2014. Les d&eacute;tails des regroupements se trouvent dans le&nbsp;</span><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02cb2531-6e8e-4ff2-951a-97d4720a441b"><span style='font-family:"Arial",sans-serif;'>tableau de correspondance</span></a><span style='font-family:"Arial",sans-serif;'>. Les donn&eacute;es excluent les &eacute;missions non li&eacute;es &agrave; l&apos;activit&eacute; humaine et les &eacute;missions de l&apos;aviation internationale et du transport maritime. Pour certains pays, les &eacute;missions mobiles r&eacute;sidentielles (par exemple les tondeuses) sont incluses dans la cat&eacute;gorie &quot;Autres combustions&quot; au lieu de la cat&eacute;gorie &quot;Autres &eacute;missions mobiles&quot;.&nbsp;</span><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: (1) Convention sur la pollution atmosph&eacute;rique transfronti&egrave;re &agrave; longue distance (Convention LRTAP), Base de donn&eacute;es des &eacute;missions CEE-ONU-EMEP, WebDab 2024, au mois de juillet 2024.&nbsp;</span><a href="https://www.ceip.at/webdab-emission-database"><span style='font-family:"Arial",sans-serif;'>EMEP Official</span></a><span style='font-family:"Arial",sans-serif;'>; (2)&nbsp;</span><a href="https://unfccc.int/ghg-inventories-annex-i-parties/2023"><span style='font-family:"Arial",sans-serif;'>National Inventory Submissions 2023</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;(Ao&ucirc;t 2023) &agrave; la Convention-cadre des Nations Unies sur les changements climatiques (CCNUCC, tableaux CRF) ; (3) R&eacute;ponses au questionnaire de l&apos;OCDE sur l&apos;&eacute;tat de l&apos;environnement et commentaires des pays membres.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: juillet 2024</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;color:black;background:white;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8f7301fb-e509-45da-ada1-950b3f18a55a">Documentation de la base de donn&eacute;es</a></span></p> NonProductionDataflow true REF_AREA,UNIT_MEASURE,BASE_PER LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN POLLUTANT,MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0,BASE_PER=_Z,PRICE_BASE=_Z,REF_AREA=WXOECD NOT_DISPLAYED TIME_PERIOD_START=2014,POLLUTANT=GHG,MEASURE=_T,UNIT_MEASURE=KG_CO2E_PS DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER UNIT_MEASURE_CONCEPTS POLLUTANT:OECD.ENV.EPI:HCL_POLLUTANT(1.0).H HIER_CONTEXT Air emissions - Greenhouse gas emissions Inventories Émissions atmosphériques - Inventaires des émissions de gaz à effet de serre <p style='margin:0cm;text-align:left;font-size:15px;font-family:"Times New Roman",serif;background:white;'><span style='font-family:"Arial",sans-serif;color:#182026;'>This dataset presents trends in man-made emissions of major greenhouse gases and emissions by gas.&nbsp;</span><span style='font-family:"Arial",sans-serif;color:#182026;'>Data refer to total emissions of CO_2&nbsp;(emissions from energy use and industrial processes, e.g. cement production), CH₄(methane emissions from solid waste, livestock, mining of hard coal and lignite, rice paddies, agriculture and leaks from natural gas pipelines), nitrous oxide (N₂O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulphur hexafluoride (SF₆) and nitrogen trifluoride (NF₃). Data exclude indirect CO₂. For UNCCCC Annex I countries, data follow the IPCC 2006 guidelines. Territories&apos; coverage are as those defined in the Kyoto Protocol.&nbsp;</span></p> <p style='margin:0cm;text-align:left;font-size:15px;font-family:"Times New Roman",serif;background:white;'><br></p> <p style='margin:0cm;text-align:left;font-size:15px;font-family:"Times New Roman",serif;background:white;'><strong><span style='font-family:"Arial",sans-serif;color:black;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;color:black;'>:</span><span style='font-family:"Arial",sans-serif;color:black;'>&nbsp;</span><span style="color:black;"><a href="https://unfccc.int/ghg-inventories-annex-i-parties/2023"><span style='font-family:"Arial",sans-serif;'>National Inventory Submissions 2023</span></a></span><span style='font-family:"Arial",sans-serif;color:#182026;'>&nbsp;to the <em>United Nations Framework Convention on Climate Change</em> (<strong>UNFCCC</strong>, CRF tables), and replies to the OECD State of the Environment Questionnaire and comments from countries.</span></p> <p style='margin:0cm;text-align:left;font-size:15px;font-family:"Times New Roman",serif;background:white;'><br></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: July 2024, next expected update January 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=367d71d9-dbb1-4a47-b9ae-fe0c9edc2a10"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></p> <p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:"Times New Roman",serif;margin:0cm;text-align:justify;background:white;'><span style='font-size:15px;font-family:"Arial",sans-serif;color:#182026;'>Cette base de donn&eacute;es pr&eacute;sente les tendances des &eacute;missions anthropiques des principaux gaz &agrave; effet de serre et les &eacute;missions par gaz.&nbsp;</span><span style='font-size:15px;font-family:"Arial",sans-serif;color:#182026;'>Les donn&eacute;es concernent les &eacute;missions totales de CO₂ (&eacute;missions provenant de l&apos;utilisation de l&apos;&eacute;nergie et des proc&eacute;d&eacute;s industriels, <em><span style='font-family:"Arial",sans-serif;'>par exemple</span></em> production du ciment), de CH₄ (&eacute;missions de m&eacute;thane provenant des d&eacute;chets solides, du b&eacute;tail, de l&apos;exploitation mini&egrave;re de charbon et de lignite, des rizi&egrave;res, et des fuites des conduites de gaz naturel), d&apos;oxyde nitreux (N₂O), d&apos;hydrofluorocarbures (HFC), d&apos;hydrocarbures perfluor&eacute;s (PFC), d&apos;hexafluorure de soufre (SF₆) et le trifluorure d&apos;azote (NF₃). Les donn&eacute;es excluent le CO₂ indirect. Pour les pays Annexe I &agrave; la CCNUCC les donn&eacute;es suivent les lignes directrices du 2006 du GIEC. Les couvertures territoriales sont celles d&eacute;finies dans le Protocol de Kyoto.</span></p> <p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:"Times New Roman",serif;margin:0cm;text-align:justify;background:white;'><br></p> <p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:"Times New Roman",serif;margin:0cm;text-align:justify;'><strong><span style='font-family:"Arial",sans-serif;color:#182026;'>Source(s) de donn&eacute;es utilis&eacute;e(s)</span></strong><span style='font-family:"Arial",sans-serif;color:#182026;'>:&nbsp;</span><span style='font-family:"Arial",sans-serif;'><a href="https://unfccc.int/ghg-inventories-annex-i-parties/2023">Soumission des inventaires nationaux 2023</a></span><span style='font-family:"Arial",sans-serif;color:#182026;'>&nbsp;&agrave; la <em><span style='font-family:"Arial",sans-serif;'>Convention Cadre des Nations Unies sur les Changements Climatiques</span></em> (<strong><span style='font-family:"Arial",sans-serif;'>CCNUCC</span></strong>, tableaux CRF), et r&eacute;ponses au questionnaire sur l&apos;&eacute;tat de l&apos;environnement de l&apos;OCDE et commentaires des pays.</span></p> <p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:"Times New Roman",serif;margin:0cm;text-align:justify;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:"Times New Roman",serif;margin:0cm;text-align:justify;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><span style='font-family:"Arial",sans-serif;'><a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></span><span style='font-family:"Arial",sans-serif;'>&nbsp;&nbsp;</span></p> <p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:"Times New Roman",serif;margin:0cm;text-align:justify;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:"Times New Roman",serif;margin:0cm;text-align:justify;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: juillet 2024, prochaine mise à jour prévue : janvier 2025</span></p> <p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:"Times New Roman",serif;margin:0cm;text-align:justify;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin-right:0cm;margin-left:0cm;font-siz NonProductionDataflow true FREQ=A,OBS_STATUS=A,UNIT_MULT=0,ISO NOT_DISPLAYED MEASURE=MEAN_POP,TIME_PERIOD_START=1990,TIME_PERIOD_END=2030,REF_AREA=AUT+AUS+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+G7+G20+EA20+EU27_2020+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC+W+A9 DEFAULT Exposure to air pollution Exposition à la pollution de l'air The exposure to air pollution dataset is a global assessment of air pollution data to monitor population exposure to three key air pollutants, i.e. fine particulate matter (PM2.5), ozone (O3) and nitrogen dioxide (NO2). By using geospatial data with high spatio-temporal resolution, it develops a set of internationally comparable and yearly indicators with a long time series from 1990 to 2020. Please see the 2016 <a href="https://doi.org/10.1787/5jlsqs8g1t9r-en">working paper</a> for a more complete description of the methods. A forthcoming working paper reviewing current data sources and updating methods is scheduled for to be released in 2024. <br></br>The dataset has a global coverage on the national level, while on the subnational TL2 level (i.e. large subnational regions), results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. The following country aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas, the LAC region and the World. <br></br><b>Data source(s)</b>: <a href="https://doi.org/10.1021/acs.est.5b03709">Global Burden of Disease</a> air pollutant data and <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> population data. <br></br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> <br></br>Database documentation L'ensemble de données sur l'exposition à la pollution de l'air est une évaluation mondiale des données sur la pollution de l'air visant à surveiller l'exposition de la population à trois polluants de l'air clés, à savoir les particules fines (PM2.5), l'ozone (O3) et le dioxyde d'azote (NO₂). En utilisant des données géospatiales à haute résolution spatio-temporelle, il développe un ensemble d'indicateurs annuels comparables au niveau international avec une longue série temporelle de 1990 à 2020. Veuillez consulter le <a href="https://doi.org/10.1787/5jlsqs8g1t9r-en">document de travail</a> de 2016 pour une description plus complète des méthodes. Un prochain document de travail passant en revue les sources de données actuelles et les méthodes de mise à jour devrait être publié en 2024. <br></br>L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques, pays d'Amérique latine et monde. <br></br><b>Source(s) de données</b>: <a href="https://doi.org/10.1021/acs.est.5b03709">Global Burden of Disease</a> données sur les polluants de l'air et <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> données géospatiales sur la population. <br></br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> <br></br>Documentation de la base de données NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2018,MEASURE=POL_STRINGENCY,CLIM_ACT_POL=LEV1_SEC+LEV2_SEC_E_MBI+LEV3_ETS_E+LEV4_ETS_E_PR+LEV4_ETS_E_GHG+LEV3_CARBONTAX_E+LEV3_FFS_E+LEV3_EXCISETAX_E+LEV3_FIT+LEV3_AUCTION+LEV3_RECS+LEV2_SEC_E_NMBI+LEV2_SEC_I_MBI+LEV2_SEC_I_NMBI+LEV2_SEC_B_MBI+LEV2_SEC_B_NMBI+LEV2_SEC_T_MBI+LEV2_SEC_T_NMBI+LEV1_CROSS_SEC+LEV1_INT,UNIT_MEASURE=0_TO_10+PL DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS Climate actions and policies measurement framework Cadre de mesure des actions et politiques climatiques <p style="text-align: start;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 14px;"><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=447525d8-ef1f-411b-98ad-56a68d25b99f" target='\""''>Database documentation</a></p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:#182026;background:white;">The OECD Climate Actions and Policies Measurement Framework (CAPMF) is the most extensive internationally harmonised climate mitigation policy database to date. Developed under the International Programme for Action on Climate, the CAPMF tracks 130 policy variables, aggregated into 56 key climate actions and policies for the 1990-2023 period for OECD and OECD partner countries as well as the European Union as a block. The current edition of the database covers 50 countries.</p> <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:#182026;background:white;">&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Calibri",sans-serif;color:#182026;background:white;'>For each policy, the CAPMF measures policy stringency, defined as the degree to which policies incentivise emissions reductions. The dataset provides the stringency values for all 130 policy variables as well as the average stringency values of the 56 aggregated climate policies for all countries and the entire time-period. It also calculates the average stringency and the number of adopted policies for sectors or policy areas (e.g. electricity, GHG emissions targets) and building block (e.g. sectoral policies, cross-sectoral policies, international policies), following the structure of the CAPMF as laid out in the&nbsp;</span><span style='font-size:15px;font-family:"Calibri",sans-serif;'><a href="https://www.oecd-ilibrary.org/environment/the-climate-actions-and-policies-measurement-framework_2caa60ce-en"><span style="background:white;">related working paper</span></a>. The structure of the CAPMF can be downloaded&nbsp;</span><span style='font-size:15px;font-family:"Calibri",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dc2f3a08-68c4-4f96-9fd9-b2a3da60e6cd"><span style="background:white;">here</span></a>.</span></p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:#182026;background:white;">In some cases the CAPMF also uses a different policy classification according to market-based instruments, non market-based instruments, and climate targets, governance and climate data (see&nbsp;</span><span style='font-size:15px;font-family:"Calibri",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dc2f3a08-68c4-4f96-9fd9-b2a3da60e6cd"><span style="background:white;">here</span></a> for a correspondence table). </p> </span></p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:#182026;background:white;">To find out more about the International Programme for Action on Climate (IPAC), please visit the&nbsp;</span><span style='font-size:15px;font-family:"Calibri",sans-serif;'><a href="https://www.oecd.org/en/about/programmes/international-programme-for-action-on-climate.html"><span style="background:white;">IPAC webpage</span></a>. </p> <p style="text-align: start;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 14px;"><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=447525d8-ef1f-411b-98ad-56a68d25b99f" target='\""''>Documentation de la base de données</a></p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:#182026;background:white;">Le cadre de mesure des actions et politiques climatiques de l'OCDE (CAPMF) est la base de données sur les politiques d'atténuation du changement climatique la plus complète et la plus harmonisée au niveau international à ce jour. Développé dans le cadre du Programme international d'action sur le climat, le CAPMF suit 130 variables politiques, regroupées en 56 actions et politiques climatiques clés pour la période 1990-2023 pour les pays de l'OCDE et les pays partenaires de l'OCDE, ainsi que pour l'Union européenne dans son ensemble. L'édition actuelle de la base de données couvre 50 pays.</p> <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:#182026;background:white;">&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Calibri",sans-serif;color:#182026;background:white;'>Pour chaque politique, le CAPMF mesure la rigueur de la politique, définie comme le degré d'incitation des politiques à réduire les émissions. Les ensembles de données fournissent les valeurs de rigueur pour les 130 variables politiques ainsi que les valeurs moyennes de rigueur des 56 politiques climatiques agrégées pour tous les pays et pour l'ensemble de la période. Il calcule également la rigueur moyenne et le nombre de politiques adoptées pour les secteurs ou les domaines politiques (par exemple, l'électricité, les objectifs d'émissions de GES) et les éléments constitutifs (par exemple, les politiques sectorielles, les politiques intersectorielles, les politiques internationales), en suivant la structure du CAPMF telle qu'elle est présentée dans the&nbsp;</span><span style='font-size:15px;font-family:"Calibri",sans-serif;'><a href="https://www.oecd-ilibrary.org/environment/the-climate-actions-and-policies-measurement-framework_2caa60ce-en"><span style="background:white;">le document de travail connexe</span></a>. La structure du CAPMF peut être téléchargée&nbsp;</span><span style='font-size:15px;font-family:"Calibri",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dc2f3a08-68c4-4f96-9fd9-b2a3da60e6cd"><span style="background:white;">ici</span></a>.</span></p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:#182026;background:white;">Dans certains cas, le CAPMF utilise également une classification différente selon les instruments basés sur le marché, les instruments non basés sur le marché, les objectifs climatiques, la gouvernance et les données climatiques (voir&nbsp;</span><span style='font-size:15px;font-family:"Calibri",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dc2f3a08-68c4-4f96-9fd9-b2a3da60e6cd"><span style="background:white;">ici</span></a> pour un tableau de correspondance). </p></span></p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:#182026;background:white;">Pour en savoir plus sur le Programme d'action international sur le climat (IPAC), veuillez visiter la&nbsp;</span><span style='font-size:15px;font-family:"Calibri",sans-serif;'><a href="https://www.oecd.org/en/about/programmes/international-programme-for-action-on-climate.html"><span style="background:white;">page Web de l'IPAC</span></a>. </p> NonProductionDataflow true REF_AREA,MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD,DECIMALS=2 NOT_DISPLAYED MEASURE=EAMFP_G,TIME_PERIOD_START=2010 DEFAULT Environmentally adjusted multifactor productivity Productivité multifactorielle ajustée des facteurs environnementaux <p><strong>Environmentally adjusted multifactor productivity</strong></p><p>EAMFP growth measures the residual growth in the joint production of both the desirable and the undesirable outputs that cannot be explained by changes in the consumption of factor inputs (including labour, produced capital and natural capital). Therefore, for a given growth of input use, EAMFP increases when GDP increases or when pollution decreases.</p><p>As part of the growth accounting framework underlying the EAMFP indicator, the growth contribution of natural capital and growth adjustment for pollution abatement indicators are derived:</p><p><em>Growth contribution of natural capital&nbsp;</em>- measures to what extent a country's growth in output is attributable to natural resource use;</p><p><em>Growth adjustment for pollution abatement&nbsp;</em>- measures to what extent a country's GDP growth should be corrected for pollution abatement efforts - adding what has been undervalued due to resources being diverted to pollution abatement, or deducing the &lsquo;excess' growth which is generated at the expense of environmental quality.</p><p><em>For further details on the methodology please consult:</em></p><p><em><a href=\"http://www.oecd.org/environment/indicators-modelling-outlooks/greening-productivity-measurement.htm\">oe.cd/eamfp</a></em></p><p><em><a href=\"https://doi.org/10.1787/9096211d-en\">Environmentally adjusted multifactor productivity: Accounting for renewable natural resources and ecosystem services</a></em></p> <p><strong>Productivit&eacute; multifactorielle corrig&eacute;e des incidences environnementales</strong></p><p>La croissance de la productivit&eacute; multifactorielle corrig&eacute;e des incidences environnementales (EAMFP) mesure la croissance r&eacute;siduelle r&eacute;sultant de la production conjointe de produits souhaitables et de produits ind&eacute;sirables&nbsp;; elle correspond &agrave; la part de croissance qui ne peut pas &ecirc;tre expliqu&eacute;e par l'&eacute;volution de la consommation d'intrants (y compris le travail, le capital produit et le capital naturel). Par cons&eacute;quent, pour une croissance donn&eacute;e de l'utilisation des intrants, la productivit&eacute; multifactorielle ajust&eacute;e des incidences environnementales (EAMFP) augmente lorsque le PIB augmente ou que la pollution diminue.</p><p>Le cadre de comptabilit&eacute; de la croissance sur lequel repose l'EAMFP permet d'&eacute;tablir la contribution &agrave; la croissance du capital naturel et l'ajustement de la croissance compte tenu des indicateurs de lutte contre la pollution&nbsp;:</p><p><em>Contribution du capital naturel &agrave; la croissance&nbsp;</em>- indique dans quelle mesure la croissance de la production d'un pays est attribuable &agrave; l'utilisation de ressources naturelles&nbsp;;</p><p><em>Ajustement de la croissance au titre de la lutte contre la pollution&nbsp;</em>- indique dans quelle mesure la croissance du PIB d'un pays devrait &ecirc;tre corrig&eacute;e des efforts de lutte contre la pollution - en ajoutant la part sous-&eacute;valu&eacute;e correspondant aux ressources consacr&eacute;es &agrave; la lutte contre la pollution, ou en retranchant &laquo;&nbsp;l'exc&egrave;s&nbsp;&raquo; de croissance g&eacute;n&eacute;r&eacute; au d&eacute;triment de la qualit&eacute; de l'environnement.</p><p><em>Pour plus de d&eacute;tails sur la m&eacute;thodologie, voir&nbsp;:</em></p><p><em><a href="http://www.oecd.org/environment/indicators-modelling-outlooks/greening-productivity-measurement.htm">oe.cd/eamfp</a></em></p><p><em><a href="https://doi.org/10.1787/9096211d-en">Environmentally adjusted multifactor productivity: Accounting for renewable natural resources and ecosystem services</a></em></p> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=1990,TIME_PERIOD_END=2050,MEASURE=CF_POP_EXP,RET_PERIOD=Y_10,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS 10000 MAX_TABLE_DATA Exposure to coastal flooding Exposition aux inondations côtières The dataset provides a global assessment of land, population, built-up area and cropland exposure to coastal flooding for different return periods. Exposure indicators to coastal flooding have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods.<br><br>The dataset spans the period 2000-2020 depending on data availability and is based on coastal flood hazard maps with a 10-, 25-, 50- and 100-year return period. A return period is the average or estimated time that a specific hazard is likely to recur. The dataset has a global geographic coverage on the national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region.<br><br><b>Data source(s)</b>: <a href="https://doi.org/10.1038/ncomms11969">Global coastal flood hazard map</a> data, <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> land cover data and <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> population grid data.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Database documentation Cet ensemble des données fournit une évaluation globale de l'exposition des terres, de la population, des zones bâties et des terres cultivées aux inondations côtières pour différentes périodes de retour. Les indicateurs d'exposition aux inondations côtières ont été préparés par l'Organisation de coopération et de développement économiques (OCDE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées.<br><br>Les données couvrent la période 2000-2020 en fonction de la disponibilité et sont basées sur des cartes de risques d'inondation côtière avec une période de retour de 10, 25, 50 et 100 ans. Une période de retour est la durée moyenne ou estimée pendant laquelle un risque spécifique est susceptible de se reproduire. L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC.<br><br><b>Source(s) de données</b>: <a href="https://doi.org/10.1038/ncomms11969">Données</a> cartographiques mondiales sur les risques d'inondation côtière, <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> données sur la couverture des sols et <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> données géospatiales sur la population.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Documentation de la base de données NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=ED_CROP_ANOM,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS 10000 MAX_TABLE_DATA Exposure to drought Exposition à la sécheresse The dataset provides annual anomalies in land and cropland soil moisture content of the top soil layer compared to the reference period 1981-2010. Exposure indicators to drought have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods.<br><br>The datasets span the period 1981-2022 and is the result of the use of a variety of geospatial data sources, including the ERA5-Land averaged monthly data of volumetric soil moisture and ESA CCI land cover data. Average anomalies have been calculated for both land and cropland exposure to drought. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region.<br><br><b>Data source(s)</b>: <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> land cover data and <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> monthly soil moisture data (ERA5).<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Database documentation Cet ensemble de données fournit des anomalies annuelles dans la teneur en eau du sol et de la couche supérieure des terres cultivées par rapport à la période de référence 1981-2010. Les indicateurs d'exposition à la sécheresse ont été préparés par l'Organisation de coopération et de développement économiques (OCDE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées.<br><br>Les données couvrent la période 1981-2022 et sont le résultat de l'utilisation d'une variété de sources de données géospatiales, y compris les données mensuelles moyennes ERA5-Land de l'humidité volumétrique du sol et les données de l'ESA CCI sur la couverture des sols. Des anomalies moyennes ont été calculées pour l'exposition à la sécheresse des terres et des cultures. L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC.<br><br><b>Source(s) de données</b>: <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> données sur la couverture des sols et <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> données sur l'humidité du sol (ERA5).<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Documentation de la base de données NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=99PT_LAND_EXP,DURATION=W1T2,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS 10000 MAX_TABLE_DATA Exposure to extreme precipitation Exposition à des précipitations extrêmes The dataset provides a global assessment of changes in average precipitation by providing the precipitation anomaly and provides a global assessment of extreme precipitation through the use of two precipitation indices, i.e. very heavy precipitation days and frequency of extreme precipitation events. Exposure indicators to extreme precipitation have been prepared jointly by the Organisation for Economic Co-operation and Development (OECD) and the International Energy Agency (IEA). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods.<br><br>The datasets span the period 1979-2022, depending on data availability and are the result of the use of a variety of geospatial data sources as referenced in the Working Paper. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region.<br><br><b>Data source(s)</b>: <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> precipitation data (ERA5) and <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> land cover data.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Database documentation Cet ensemble de données fournit une évaluation globale des changements dans les précipitations moyennes en fournissant l'anomalie des précipitations et une évaluation globale des précipitations extrêmes en utilisant deux indices de précipitations, à savoir les jours de très fortes précipitations et la fréquence des événements de précipitations extrêmes. Les indicateurs d'exposition aux précipitations extrêmes ont été préparés conjointement par l'Organisation de coopération et de développement économiques (OCDE) et l'Agence internationale de l'énergie (AIE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées.<br><br>Les données couvrent la période 1979-2022, en fonction de la disponibilité, et sont le résultat de l'utilisation d'une variété de sources de données géospatiales telles que référencées dans le document de travail. L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC.<br><br><b>Source(s) de données</b>: <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> données sur les précipitations (ERA5) et <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> données sur la couverture des sols.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Documentation de la base de données NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=HD_POP_EXP,DURATION=W_LT_2,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS 10000 MAX_TABLE_DATA Exposure to extreme temperature Exposition à des températures extrêmes The dataset provides a global assessment of changes in average temperature by providing the temperature anomaly, days with above-average temperatures and days with below-average temperatures. Exposure indicators to extreme temperature have been prepared jointly by the Organisation for Economic Co-operation and Development (OECD) and the International Energy Agency (IEA). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods.<br><br>The dataset also provides a global assessment of extreme temperatures through the use of a variety of climate indices, including hot days, tropical nights, the Universal Thermal Climate Index and icing days. The datasets span the period 1979-2022, depending on data availability and are the result of the use of a variety of geospatial data sources. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region.<br><br><b>Data source(s)</b>: <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> temperature data (ERA5) and <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> population grid data.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Database documentation Cet ensemble de données fournit une évaluation globale des changements de la température moyenne en fournissant l'anomalie de température, les jours avec des températures supérieures à la moyenne et les jours avec des températures inférieures à la moyenne. Les indicateurs d'exposition aux températures extrêmes ont été préparés conjointement par l'Organisation de coopération et de développement économiques (OCDE) et l'Agence internationale de l'énergie (AIE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées.<br><br>L'ensemble de données fournit également une évaluation globale des températures extrêmes grâce à l'utilisation d'une variété d'indices climatiques, y compris les jours chauds, les nuits tropicales, l'indice thermo climatique universel et les jours de gel. Les données couvrent la période 1979-2022, en fonction de la disponibilité, et sont le résultat de l'utilisation d'une variété de sources de données géospatiales. L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC.<br><br><b>Source(s) de données</b>: <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> données de température (ERA5) et <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> données géospatiales sur la population.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Documentation de la base de données NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=1990,TIME_PERIOD_END=2050,MEASURE=FT_POP_EXP,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS 10000 MAX_TABLE_DATA Exposure to wildfire Exposition au feu The dataset provides a global assessment of burned area, and forest and population exposure to wildfire danger. Exposure indicators to wildfire have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods.<br><br>The datasets span the period 2000-2022, depending on data availability and are the result of the use of a variety of geospatial data sources, including data from the Global Wildfire Information System, ESA CCI land cover data and Global Human Settlement Layer population data. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region.<br><br><b>Data source(s)</b>: <a href="https://gwis.jrc.ec.europa.eu/">Global Wildfire Information System</a> burned area data, <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> land cover data and <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> population grid data.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Database documentation Cet ensemble des données fournit une évaluation globale des zones brûlées et de l'exposition des forêts et des populations au risque d'incendie de forêt. Les indicateurs d'exposition au feu ont été préparés par l'Organisation de coopération et de développement économiques (OCDE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées.<br><br>Les données couvrent la période 2000-2022, en fonction de la disponibilité, et sont le résultat de l'utilisation d'une variété de sources de données géospatiales, y compris les données du Global Wildfire Information System, les données de la couverture des sols de l'ESA CCI et les données sur la population (Global Human Settlement Layer). L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC.<br><br><b>DSource(s) de données</b>: <a href="https://gwis.jrc.ec.europa.eu/">Global Wildfire Information System</a> données sur les zones brûlées, <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> données sur la couverture des sols et <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> données géospatiales sur la population.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Documentation de la base de données NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=1990,TIME_PERIOD_END=2050,MEASURE=RF_POP_EXP,RET_PERIOD=Y_10,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS 10000 MAX_TABLE_DATA Exposure to river flooding Exposition aux crues The dataset provides a global assessment of land, population, built-up area and cropland exposure to river flooding for different return periods. Exposure indicators to river flooding have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods.<br><br>The datasets span the period 2000-2020 depending on data availability and is based on river flood hazard maps with a 10-, 20-, 50- and 100-year return period. A return period is the average or estimated time that a specific hazard is likely to recur. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region.<br><br><b>Data source(s)</b>: <a href="https://data.jrc.ec.europa.eu/collection/id-0054#datasets">JRC River flood hazard map</a> data, <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> land cover data and <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> population grid data.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Database documentation Cet ensemble des données fournit une évaluation globale de l'exposition des terres, de la population, des zones bâties et des terres cultivées aux inondations fluviales pour différentes périodes de retour. Les indicateurs d'exposition aux crues ont été préparés par l'Organisation de coopération et de développement économiques (OCDE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées.<br><br>Les ensembles de données couvrent la période 2000-2020 en fonction de la disponibilité des données et sont basés sur des cartes de risques d'inondation fluviale avec une période de retour de 10, 20, 50 et 100 ans. Une période de retour est la durée moyenne ou estimée pendant laquelle un risque spécifique est susceptible de se reproduire. L'ensemble des données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC.<br><br><b>Source(s) de données</b>: <a href="https://data.jrc.ec.europa.eu/collection/id-0054#datasets">JRC</a> données de la carte des risques de crues, <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> données sur la couverture des sols et <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> données géospatiales sur la population.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Documentation de la base de données NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=W_LAND_EXP,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS 10000 MAX_TABLE_DATA Exposure to wind threats Exposition aux vents The dataset provides a global assessment of land, population and built-up area exposure to violent storms and cyclone wind threats. Exposure indicators to wind threats have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods.<br><br>The datasets span the period 2000-2022, depending on data availability and are the result of the use of a variety of geospatial data sources, including wind gust data from hourly ERA5 reanalysis data to assess violent storms and GAR2015 cyclone hazard maps to assess exposure to different hurricane intensities. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region.<br><br><b>Data source(s)</b>: <a href="https://data.humdata.org/dataset/cyclone-wind-100-years-return-period">GAR2015</a> cyclone hazard maps, <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> wind gust data (ERA5), <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> land cover data and <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> population grid data.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Database documentation Cet ensemble de données fournit une évaluation globale de l'exposition des terres, de la population et des zones bâties aux tempêtes violentes et aux vents cycloniques. Les indicateurs d'exposition aux vents ont été préparés par l'Organisation de coopération et de développement économiques (OCDE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées.<br><br>Les données couvrent la période 2000-2022, en fonction de la disponibilité, et sont le résultat de l'utilisation d'une variété de sources de données géospatiales, y compris les données de vent provenant des données de réanalyse horaire ERA5 pour évaluer les tempêtes violentes et les cartes de risques cycloniques GAR2015 pour évaluer l'exposition à différentes intensités d'ouragans. L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC.<br><br><b>Source(s) de données</b>: <a href="https://data.humdata.org/dataset/cyclone-wind-100-years-return-period">GAR2015</a> cartes des risques cycloniques, <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> données sur le vent (ERA5), <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> données sur la couverture des sols et <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> données géospatiales sur la population.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Documentation de la base de données NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015, CEPA=TOT_CEPA,INDUSTRY=_T,SECTOR=S1,MEASURE=NEEP DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Environmental Protection Expenditure Accounts Comptes de la dépense de protection de l'environnement <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>The Environmental Protection Expenditure Account (EPEA) is a monetary description of environmental protection activities in accordance with the System of Environmental</span><span style='font-family:"Cambria Math",serif;'>‑</span><span style='font-family:"Arial",sans-serif;'>economic Accounting (SEEA) central framework. It is coherent with the European System of Accounts (ESA 2010), which applies to national accounts and related satellite accounts.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Environmental protection (EP) includes all activities and actions which have as their main purpose the prevention, reduction and elimination of pollution as well as any other degradation of the environment. The scope of environmental protection expenditure is defined according to the Classification of Environmental Protection Activities (CEPA 2000).</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: joint OECD/Eurostat questionnaire on EPEA.&nbsp;</span><span style='font-family:"Arial",sans-serif;'>Eurostat sends the questionnaire annually to its member countries, the OECD every two years.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: April 10, 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=53532b6b-2ef3-49a3-a8ce-b6c766ca5e7d">Database documentation</a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Le compte des d&eacute;penses de protection de l&apos;environnement (EPEA) est une description mon&eacute;taire des activit&eacute;s de protection de l&apos;environnement conform&eacute;ment au cadre central du Syst&egrave;me de comptabilit&eacute; &eacute;conomique et environnementale (SEEA). Il est coh&eacute;rent avec le Syst&egrave;me europ&eacute;en des comptes (SEC 2010), qui s&apos;applique aux comptes nationaux et aux comptes satellites connexes.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>La protection de l&apos;environnement comprend toutes les activit&eacute;s et actions dont l&apos;objectif principal est la pr&eacute;vention, la r&eacute;duction et l&apos;&eacute;limination de la pollution et de toute autre d&eacute;gradation de l&apos;environnement. Le champ des d&eacute;penses de protection de l&apos;environnement est d&eacute;fini selon la Classification des activit&eacute;s de protection de l&apos;environnement (CEPA 2000).</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: questionnaire conjoint OCDE/Eurostat sur les d&eacute;penses de protection de l&apos;environnement. Eurostat envoie le questionnaire chaque ann&eacute;e &agrave; ses pays membres, l&apos;OCDE un an sur deux.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: ENV.Stat@oecd.org</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 10 Avril 2025</span></p> <p><span style='font-size:15px;font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=53532b6b-2ef3-49a3-a8ce-b6c766ca5e7d">Documentation de la base de donn&eacute;es</a></span></p> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED MEASURE=TAXREV,UNIT_MEASURE=USD,CATEGORY=_T,DOMAIN=_T,TIME_PERIOD_START=2017 DEFAULT 8000 MAX_TABLE_DATA COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Environmentally related tax revenue Recettes provenant des taxes liées à l'environnement <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>ERTR Database</title> <style> body { font-family: Arial, sans-serif; font-size: 11px; } p { font-family: Arial, sans-serif; font-size: 11px; } </style> </head> <body> <p>Environmentally related taxes are effective policy instruments to shape relative prices of goods and services. The Environmental Related Tax Revenue Database (ERTR) categorises taxes based on their environmental relevance, constructing environmentally related tax revenue with a breakdown by tax-base category (including energy, transport, pollution, and resources) and 22 environmental domains. Note that tax-base categories are mutually exclusive, while domains are not. Therefore, one should not aggregate revenue across domains as it may lead to double counting. <p> <p><strong>Data source(s):</strong> ERTR draws from the <i>OECD Policy Instruments for the Environment (PINE)</i> database. The database contains detailed qualitative and quantitative information on environmentally related taxes and fees, tradable permits and offsets, deposit-refund schemes, environmentally beneficial subsidies and payments and voluntary approaches used for environmental policy. It is updated annually and covers OECD member countries, accession countries and selected non-OECD countries. The data has been cross-validated and complemented with <i> Revenue statistics</i> from the <i>Global Revenue Statistics databases</i>, Eurostat National Tax Lists, and official national sources. </p> <p><strong>Contact:</strong> <a href="mailto:pinedatabase@oecd.org">pinedatabase@oecd.org</a></p> <p><strong>Dataset release date:</strong> July 2024</p> <p><p>For further details on the dataset consult the&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4f959e36-628a-4196-9012-b422b2e0ad40">dataset documentation</a> and <a href="https://oe.cd/pine">oe.cd/pine</a>. For revenue data at the individual-tax level, please consult <a href="https://oe.cd/pinedatabase">https://oe.cd/pinedatabase</a>.</p> </body> </html> <!DOCTYPE html> <html lang="fr"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Base de données sur les taxes liées à l'environnement (ERTR)</title> <style> body { font-family: Arial, sans-serif; font-size: 11px; } </style> </head> <body> <p>Les taxes liées à l'environnement sont des instruments politiques efficaces pour influencer les prix relatifs des biens et des services. La base de données sur les recettes fiscales liées à l'environnement (ERTR) classe les taxes en fonction de leur importance pour l'environnement, en construisant des recettes fiscales liées à l'environnement avec une ventilation par catégorie d'assiette (y compris l'énergie, les transports, la pollution et les ressources) et 22 domaines environnementaux. Il convient de noter que les catégories d'assiette sont mutuellement exclusives, alors que les domaines ne le sont pas. Par conséquent, il ne faut pas agréger les recettes entre les domaines, car cela peut conduire à un double comptage.<p> <p><strong>Source(s) de données :</strong> ERTR s'appuie sur la base de données <i>PINE (Instruments politiques pour l'environnement)</i> de l'OCDE. Cette base de données contient des informations qualitatives et quantitatives détaillées sur les taxes et redevances liées à l'environnement, les permis négociables et les compensations, les systèmes de dépôt-remboursement, subventions et paiements bénéfiques pour l’environnement et les approches volontaires utilisées dans le cadre de la politique environnementale. Elle est mise à jour chaque année et couvre les pays membres de l'OCDE, les pays en voie d'adhésion et certains pays non membres de l'OCDE. Les données ont fait l'objet d'une validation croisée et ont été complétées par des <i> statistiques sur les recettes </i> provenant des <i> bases de données des statistiques mondiales sur les recettes</i>, des listes fiscales nationales d'Eurostat et de sources nationales officielles.</p> <p><strong>Contact :</strong> <a href="mailto:pinedatabase@oecd.org">pinedatabase@oecd.org</a></p> <p><strong>Date de publication de la base de données :</strong> juillet 2024<br><p>Pour plus de d&eacute;tails sur l'ensemble de donn&eacute;es, consultez <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4f959e36-628a-4196-9012-b422b2e0ad40">la documentation de la base de donn&eacute;es</a>et <a href="https://oe.cd/pine">oe.cd/pine</a>. Pour les donn&eacute;es sur les recettes au niveau de l'imp&ocirc;t individuel, veuillez consulter <a href="https://oe.cd/pinedatabase">https://oe.cd/pinedatabase</a>.</p> </body> </html> NonProductionDataflow true ACTIVITY,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CATEGORY LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED REF_AREA=DNK,UNIT_MEASURE=USD,TIME_PERIOD_START=2013 DEFAULT 8000 MAX_TABLE_DATA COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Environmentally related tax revenue accounts Comptes de recettes fiscales liées à l'environnement <p style="text-align: justify; line-height: normal; background: white;"><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">This dataset presents the data collected from OECD and partner economies on environmentally related tax revenue accounts with a breakdown by tax-base category and industrial activity. Taxes levied on greenhouse gas (GHG) emissions are explicitly reported in two sub-categories: an energy related part (recorded as an energy tax) and a non-energy related part, such as certain GHG emissions related to landfills or agriculture (recorded as a pollution tax). Four "memo items" (i.e. information items that do not change the total) are included: (i) Certain land taxes; (ii) Taxes on oil and natural gas extraction; (iii) Taxes on the resource rent; (iv) Elevated value added taxes levied on environmentally related tax-bases. The OECD ERTR accounts are consistent with the existing data collection by Eurostat and are in line with the System of Environmental-Economic Accounting - Central Framework (SEEA-CF).</span></p> <p style="text-align: justify; line-height: normal; background: white;"><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">The dataset </span><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">is updated on a biennial basis</span><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">. For EU countries, it includes the information on ERTR accounts reported to Eurostat.</span></p> <p style="text-align: justify; line-height: normal; background: white;"><strong><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">Dataset release date:</span></strong><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;"> 2024 September</span></p> <p style="line-height: normal; background: white;"><strong><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">Contact</span></strong><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">:&nbsp;</span><span style="color: black;"><a href="mailto:ENV.Stat@oecd.org"><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif;">ENV.Stat@oecd.org</span></a></span></p> <p style="line-height: normal; background: white;"><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">For further details on the dataset consult:<strong> </strong>OECD (2023),&nbsp;<em><a href="https://www.oecd.org/en/publications/methodological-guidelines-for-environmentally-related-tax-revenue-accounts_d752d120-en.html">Methodological Guidelines for Environmentally Related Tax Revenue Accounts</a></em>, OECD Publishing, Paris,&nbsp;</span><span style="color: black;"><a href="https://doi.org/10.1787/d752d120-en"><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif;">https://doi.org/10.1787/d752d120-en</span></a></span><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">.</span></p> <p style="line-height: normal; background: white;"><span style="font-family: arial, helvetica, sans-serif; color: #182026; font-size: 11pt;">Cet ensemble de donn&eacute;es pr&eacute;sente les donn&eacute;es collect&eacute;es aupr&egrave;s de l'OCDE et des &eacute;conomies partenaires sur les comptes de recettes fiscales li&eacute;es &agrave; l'environnement, avec une ventilation par cat&eacute;gorie d'assiette et par activit&eacute; industrielle. Les taxes pr&eacute;lev&eacute;es sur les &eacute;missions de gaz &agrave; effet de serre (GES) sont explicitement d&eacute;clar&eacute;es dans deux sous-cat&eacute;gories : une partie li&eacute;e &agrave; l'&eacute;nergie (enregistr&eacute;e comme taxe sur l'&eacute;nergie) et une partie non li&eacute;e &agrave; l'&eacute;nergie, telle que certaines &eacute;missions de GES li&eacute;es aux d&eacute;charges ou &agrave; l'agriculture (enregistr&eacute;e comme taxe sur la pollution). Quatre &laquo; postes pour m&eacute;moire &raquo; (c'est-&agrave;-dire des &eacute;l&eacute;ments d'information qui ne modifient pas le total) sont inclus : (i) certaines taxes fonci&egrave;res ; (ii) les taxes sur l'extraction du p&eacute;trole et du gaz naturel ; (iii) les taxes sur la rente des ressources ; (iv) les taxes sur la valeur ajout&eacute;e &eacute;lev&eacute;es pr&eacute;lev&eacute;es sur les assiettes fiscales li&eacute;es &agrave; l'environnement. Les comptes ERTR de l'OCDE sont coh&eacute;rents avec la collecte de donn&eacute;es existante par Eurostat et sont conformes au Syst&egrave;me de comptabilit&eacute; &eacute;conomique et environnementale - Cadre central (SCEE-CF).</span></p> <p style="line-height: normal; background: white;"><span style="font-family: arial, helvetica, sans-serif; color: #182026; font-size: 11pt;">L'ensemble des donn&eacute;es est mis &agrave; jour tous les deux ans. Pour les pays de l'UE, il comprend les informations sur les comptes ERTR communiqu&eacute;es &agrave; Eurostat.</span></p> <p style="line-height: normal; background: white;"><span style="font-size: 11pt; font-family: arial, helvetica, sans-serif;"><strong><span style="color: #182026;">Date de publication de l'ensemble de donn&eacute;es :</span></strong><span style="color: #182026;"> 2024 septembre</span></span></p> <p style="line-height: normal; background: white;"><span style="font-size: 11pt; font-family: arial, helvetica, sans-serif;"><strong><span style="color: #182026;">Contact </span></strong><span style="color: #182026;">: ENV.Stat@oecd.org</span></span></p> <p><span style="font-size: 11pt; font-family: arial, helvetica, sans-serif;"><strong>Pour plus de d&eacute;tails sur l'ensemble de donn&eacute;es, consultez: </strong><span style="color: #182026;">OECD (2023),&nbsp;</span><em><span style="color: #182026;"><a href="https://www.oecd.org/en/publications/methodological-guidelines-for-environmentally-related-tax-revenue-accounts_d752d120-en.html">Methodological Guidelines for Environmentally Related Tax Revenue Accounts</a></span></em><span style="color: #182026;">, OECD Publishing, Paris,&nbsp;</span><a href="https://doi.org/10.1787/d752d120-en">https://doi.org/10.1787/d752d120-en</a><span style="color: #182026;">.</span></span></p> NonProductionDataflow true MEASURE,PRODUCT_CATEGORIES LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2010,MEASURE=GEN,UNIT_MEASURE=T DEFAULT UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Waste - Electrical and electronic equipment (e-waste or WEEE) Déchets - Équipements électriques et électroniques (e-déchets ou DEEE) <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>The dataset provides data on the generation, recycling and reuse of e-waste in OECD countries, one of the fastest growing and most complex waste streams in the world, affecting both human health and the environment and proliferating a loss of valuable raw materials.&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:left;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: (i) OECD-UNITAR questionnaire for non-European countries (ii) Eurostat (</span><a href="https://ec.europa.eu/eurostat/web/waste/data/database"><span style='font-family:"Arial",sans-serif;'>https://ec.europa.eu/eurostat/web/waste/data/database</span></a><span style='font-family:"Arial",sans-serif;'>) for European countries</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: March 7, 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;padding:0cm;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4856f0ff-0318-403d-b362-cbc42e037c2e">Database documentation</a></span></p> </div> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'><br></div> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es fournit des informations sur la production, le recyclage et la r&eacute;utilisation des d&eacute;chets &eacute;lectroniques dans les pays de l&apos;OCDE, l&apos;un des flux de d&eacute;chets les plus complexes et &agrave; la croissance la plus rapide au monde, affectant &agrave; la fois la sant&eacute; humaine et l&apos;environnement et entra&icirc;nant une perte de mati&egrave;res premi&egrave;res pr&eacute;cieuses.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:left;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: (i) questionnaire OCDE-UNITAR pour les pays non-europ&eacute;ens (ii) Eurostat (</span><a href="https://ec.europa.eu/eurostat/web/waste/data/database"><span style='font-family:"Arial",sans-serif;'>https://ec.europa.eu/eurostat/web/waste/data/database</span></a><span style='font-family:"Arial",sans-serif;'>) pour les pays europ&eacute;ens.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></strong></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 7 mars 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4856f0ff-0318-403d-b362-cbc42e037c2e"><span style='font-family:"Arial",sans-serif;'>Documentation de la base de donn&eacute;es</span></a></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'><br></div> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=DALY,UNIT_MEASURE=10P3HB,RISK=PM_2_5_OUT,SEX=_T,AGE=_T DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS Mortality, morbidity and welfare cost from exposure to environment-related risks Mortalité, morbidité et coûts en bien-être imputables à l'exposition aux risques liés à l'environnement <p><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif;">The <strong>Mortality and Welfare Costs from Exposure to Environmental Risks</strong> database provides data on health impacts and welfare costs from exposure to environmentally-related risks. This dataset integrates data on mortality and Disability-Adjusted Life Years (DALYs) from the <em>Global Burden of Disease Study 2019</em> (GBD 2019), and quantifies welfare costs using a methodology adapted from the OECD (2017),<em> The Rising Cost of Ambient Air Pollution thus far in the 21st Century: Results from the BRIICS and the OECD Countries</em>. The database covers a wide range of environmental risks, including air pollution, climate-related threats, exposure to hazardous substances such as lead and radon, unsafe water and sanitation, environment-related occupational risks, and environment-related behavioral risks. The data are disaggregated by gender and age groups, providing a granular view of how these risks impact dimensions of the population.</span></p> <p><strong><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif;">Data source(s):</span></strong><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif;"> </span></p> <p><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: #182026;">GBD (2019), <em>Global Burden of Disease Study 2019 Results</em>, Institute for Health Metrics and Evaluation, Seattle, United States. </span><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif;"><a href="http://ghdx.healthdata.org/gbd-results-tool">http://ghdx.healthdata.org/gbd-results-tool</a></span></p> <p><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: #182026;">GBD 2019 Risk Factor Collaborators (2020), <em>Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019</em>, The Lancet, Volume 396, Issue 10258, Pages 1223-1249.&nbsp; </span><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif;"><a href="https://doi.org/10.1016/S0140-6736(20)30752-2">https://doi.org/10.1016/S0140-6736(20)30752-2</a><span style="color: #182026;">. Online Appendix 1: </span><a href="https://ars.els-cdn.com/content/image/1-s2.0-S0140673620307522-mmc1.pdf">https://ars.els-cdn.com/content/image/1-s2.0-S0140673620307522-mmc1.pdf</a></span></p> <p><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: #182026;">OECD (2017), <em>The Rising Cost of Ambient Air Pollution thus far in the 21st Century: Results from the BRIICS and the OECD Countries</em>, OECD Publishing, Paris. </span><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif;"><a href="http://dx.doi.org/10.1787/d1b2b844-en">http://dx.doi.org/10.1787/d1b2b844-en</a></span></p> <p><span style="font-size: 11pt;"><strong><span style="font-family: 'Arial',sans-serif; color: #182026;">Contact:</span></strong><span style="font-family: 'Arial',sans-serif; color: #182026;"> </span><span style="font-family: 'Arial',sans-serif; color: #182026;">env.stat@oecd.org</span></span></p> <p style="margin: 0cm 12.0pt 12.0pt 0cm;"><strong><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: #182026;">Dataset release date:</span></strong><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: #182026;"> </span><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: #182026;">December 2020</span></p> <p style="text-align: justify; background: white; margin: 2.25pt 2.25pt 2.25pt 0cm;"><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: #182026;">For further details on the dataset, consult the&nbsp;</span><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: black;"><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1356df09-6bd4-4b0b-9a95-d56e145769ad">Dataset documentation</a></span><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: #495d8e;">.</span></p> <p><span style="font-family: Arial, sans-serif; font-size: 11pt;">La base de donn&eacute;es <strong>Mortalit&eacute;, morbidit&eacute; et co&ucirc;ts en bien-&ecirc;tre imputables &agrave; l'exposition aux risques li&eacute;s &agrave; l'environnement </strong>fournit des donn&eacute;es sur les effets sur la sant&eacute; et les co&ucirc;ts sociaux de l'exposition &agrave; des risques li&eacute;s &agrave; l'environnement. Cet ensemble de donn&eacute;es int&egrave;gre des donn&eacute;es sur la mortalit&eacute; et les ann&eacute;es de vie corrig&eacute;es de l'incapacit&eacute; (AVCI) provenant de l'&Eacute;tude sur la charge mondiale de morbidit&eacute; 2019 (GBD 2019), et quantifie les co&ucirc;ts de bien-&ecirc;tre en utilisant une m&eacute;thodologie adapt&eacute;e de l'OCDE (2017), <em>The Rising Cost of Ambient Air Pollution thus far in the 21st Century</em>. La base de donn&eacute;es couvre un large &eacute;ventail de risques environnementaux, notamment la pollution de l'air, les menaces li&eacute;es au climat, l'exposition &agrave; des substances dangereuses telles que le plomb et le radon, l'eau insalubre et l'assainissement, les risques professionnels li&eacute;s &agrave; l'environnement et les risques comportementaux li&eacute;s &agrave; l'environnement. Les donn&eacute;es sont ventil&eacute;es par sexe et par tranche d'&acirc;ge, ce qui permet d'avoir une vision granulaire de l'impact de ces risques sur certaines dimensions de la population.</span></p> <p><span style="font-size: 11pt;"><strong><span style="font-family: 'Arial',sans-serif;">Source(s) de donn&eacute;es :</span></strong><span style="font-family: 'Arial',sans-serif;"> </span></span></p> <p style="text-align: left;"><span style="font-size: 11pt;"><span style="font-family: 'Arial',sans-serif;">GBD (2019), <em>R&eacute;sultats de l'&eacute;tude Global Burden of Disease 2019</em>, Institute for Health Metrics and Evaluation, Seattle, &Eacute;tats-Unis. </span><span style="font-family: 'Arial',sans-serif;"><a href="http://ghdx.healthdata.org/gbd-results-tool">http://ghdx.healthdata.org/gbd-results-tool</a></span></span></p> <p style="text-align: left;"><span style="font-size: 11pt;"><span style="font-family: 'Arial',sans-serif;">Collaborateurs des Facteurs de Risque GBD 2019 (2020), <em>Charge mondiale de 87 facteurs de risque dans 204 pays et territoires, 1990-2019 : une analyse syst&eacute;matique pour l'&eacute;tude Global Burden of Disease 2019</em>, The Lancet, Volume 396, Num&eacute;ro 10258, Pages 1223-1249. </span><span style="font-family: 'Arial',sans-serif;"><a href="https://doi.org/10.1016/S0140-6736(20)30752-2">https://doi.org/10.1016/S0140-6736(20)30752-2</a></span><span style="font-family: 'Arial',sans-serif;">. Annexe en ligne 1 : </span><span style="font-family: 'Arial',sans-serif;"><a href="https://ars.els-cdn.com/content/image/1-s2.0-S0140673620307522-mmc1.pdf">https://ars.els-cdn.com/content/image/1-s2.0-S0140673620307522-mmc1.pdf</a></span></span></p> <p style="text-align: left;"><span style="font-size: 11pt;"><span style="font-family: 'Arial',sans-serif;">OCDE (2017), <em>Le co&ucirc;t croissant de la pollution atmosph&eacute;rique ambiante jusqu'&agrave; pr&eacute;sent au XXIe si&egrave;cle : R&eacute;sultats pour les pays des BRIICS et de l'OCDE</em>, &Eacute;ditions OCDE, Paris. </span><span style="font-family: 'Arial',sans-serif;"><a href="http://dx.doi.org/10.1787/d1b2b844-en">http://dx.doi.org/10.1787/d1b2b844-fr</a></span></span></p> <p style="text-align: left;"><span style="font-size: 11pt;"><span style="font-family: 'Arial',sans-serif;"><span style="font-family: Arial, sans-serif; color: #182026;">Pour plus de d&eacute;tails sur le jeu de donn&eacute;es, consultez la </span><span style="font-family: Arial, sans-serif; color: black;"><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1356df09-6bd4-4b0b-9a95-d56e145769ad">documentation du jeu de donn&eacute;es</a></span><span style="font-family: Arial, sans-serif; color: #495 NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=INT_USE DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS Intensity of use of forest resources Intensité d'utilisation des ressources forestières <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset traces net changes in terms of volume in the growing stock of standing wood on forest land. Forest depletion and growth describe balances or imbalances in different types of forests. The intensity of use of forest resources reflects various forest management methods and their sustainability. These data should be read in connection with other indicators, in particular land use changes and forest quality (species diversity, forest degradation), and be complemented with data on forest management practices and protection measures. Please bear in mind that definitions and estimation methods vary for some countries. For details see:</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: OECD Annual Quality Assurance (AQA) questionnaire.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: March, 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e6932a88-6448-4cb9-9245-e65a4df1eb13">Definitions</a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e862f572-e855-4daa-ba62-6e23cd37b66d">Country metadata</a></span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'><br></div> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es retrace les changements nets en termes de volume du stock croissant de bois sur pied sur les terres foresti&egrave;res. L&apos;&eacute;puisement et la croissance des for&ecirc;ts d&eacute;crivent les &eacute;quilibres ou les d&eacute;s&eacute;quilibres dans diff&eacute;rents types de for&ecirc;ts. L&apos;intensit&eacute; de l&apos;utilisation des ressources foresti&egrave;res refl&egrave;te les diff&eacute;rentes m&eacute;thodes de gestion des for&ecirc;ts et leur durabilit&eacute;. Ces donn&eacute;es doivent &ecirc;tre lues en relation avec d&apos;autres indicateurs, en particulier les changements d&apos;utilisation des terres et la qualit&eacute; des for&ecirc;ts (diversit&eacute; des esp&egrave;ces, d&eacute;gradation des for&ecirc;ts), et &ecirc;tre compl&eacute;t&eacute;es par des donn&eacute;es sur les pratiques de gestion foresti&egrave;re et les mesures de protection. Il convient de garder &agrave; l&apos;esprit que les d&eacute;finitions et les m&eacute;thodes d&apos;estimation varient d&apos;un pays &agrave; l&apos;autre. Pour plus de details, voir:</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: Questionnaire Assurance Qualit&eacute; Annuelle (AQA) de l&rsquo;OCDE</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: mars 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e6932a88-6448-4cb9-9245-e65a4df1eb13">D&eacute;finitions</a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e862f572-e855-4daa-ba62-6e23cd37b66d">M&eacute;tadonn&eacute;es pays</a></span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'><br></div> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN ACTIVITY LAYOUT_ROW_SECTION TIMELINESS,OBS_STATUS,OBS_STATUS_2 LAYOUT_FLAG OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2017 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER UNIT_MEASURE_CONCEPTS 8000 MAX_TABLE_DATA Green Growth Croissance verte <p><span style="font-family: arial, helvetica, sans-serif; font-size: 11pt;">La base de donn&eacute;es de l'OCDE sur la croissance verte contient des indicateurs s&eacute;lectionn&eacute;s pour suivre les progr&egrave;s vers la croissance verte afin de soutenir l'&eacute;laboration des politiques et d'informer le grand public. Les indicateurs ont &eacute;t&eacute; structur&eacute;s autour de quatre groupes afin d'appr&eacute;hender les principales caract&eacute;ristiques de la croissance verte :</span></p> <ul> <li><span style="font-family: arial, helvetica, sans-serif; font-size: 11pt;"><span style="font-style: normal; font-variant: normal; font-size-adjust: none; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-weight: normal; font-stretch: normal; line-height: normal;"> </span>Productivit&eacute; de l'environnement et des ressources : indique si la croissance &eacute;conomique devient plus verte gr&acirc;ce &agrave; une utilisation plus efficace du capital naturel et pour saisir les aspects de la production qui sont rarement quantifi&eacute;s dans les mod&egrave;les &eacute;conomiques et les cadres comptables ;</span></li> <li><span style="font-family: arial, helvetica, sans-serif; font-size: 11pt;"><span style="font-style: normal; font-variant: normal; font-size-adjust: none; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-weight: normal; font-stretch: normal; line-height: normal;"> </span>La base d'actifs naturels : indiquer les risques pour la croissance d'une base d'actifs naturels en d&eacute;clin ;</span></li> <li><span style="font-family: arial, helvetica, sans-serif; font-size: 11pt;"><span style="font-style: normal; font-variant: normal; font-size-adjust: none; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-weight: normal; font-stretch: normal; line-height: normal;"> </span>Dimension environnementale de la qualit&eacute; de vie : indiquer comment les conditions environnementales affectent la qualit&eacute; de vie et le bien-&ecirc;tre des personnes ;</span></li> <li><span style="font-family: arial, helvetica, sans-serif; font-size: 11pt;"><span style="font-style: normal; font-variant: normal; font-size-adjust: none; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-weight: normal; font-stretch: normal; line-height: normal;"> </span>Opportunit&eacute;s &eacute;conomiques et r&eacute;ponses politiques : indiquer l'efficacit&eacute; des politiques en mati&egrave;re de croissance verte et d&eacute;crire les r&eacute;ponses soci&eacute;tales n&eacute;cessaires pour garantir les opportunit&eacute;s d'affaires et d'emploi.</span></li> </ul> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 11pt;"><strong>Source(s) de donn&eacute;es :</strong> La base de donn&eacute;es synth&eacute;tise des donn&eacute;es et des indicateurs selon des crit&egrave;res bien sp&eacute;cifi&eacute;s, dans un large &eacute;ventail de domaines, &agrave; partir de bases de donn&eacute;es de l'OCDE et de sources de donn&eacute;es externes. Pour plus de d&eacute;tails sur l'ensemble des donn&eacute;es, consultez <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0eddc076-a4f9-4a2b-8e86-4190c8523b59">la documentation de la base de donn&eacute;es.</a></span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 11pt;"><strong>Contact :</strong> env.stat@oecd.org</span></p> <p><span style="font-family: arial, helvetica, sans-serif; font-size: 11pt;"><strong>Date de publication de la base de donn&eacute;es</strong> : septembre 2024</span></p> <p><span style="color: #182026; font-family: Arial; font-size: 11pt;">The OECD Green Growth database contains selected indicators for monitoring progress towards green growth to support policy making and inform the public at large. The indicators have been structured around four groups to capture the main features of green growth:</span></p><ul> <li><span style="font-size: 11pt;"><span style="font-family: Symbol; color: #182026;"><span style="font-style: normal; font-variant: normal; font-size-adjust: none; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-weight: normal; font-stretch: normal; line-height: normal;"> </span></span><span style="font-family: Arial; color: #182026;">Environmental and resource productivity: indicate whether economic growth is becoming greener with more efficient use of natural capital and to capture aspects of production which are rarely quantified in economic models and accounting frameworks;</span></span></li> <li><span style="font-size: 11pt;"><span style="font-family: Symbol; color: #182026;"><span style="font-style: normal; font-variant: normal; font-size-adjust: none; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-weight: normal; font-stretch: normal; line-height: normal;"> </span></span><span style="font-family: Arial; color: #182026;">The natural asset base: indicate the risks to growth from a declining natural asset base;</span></span></li> <li><span style="font-size: 11pt;"><span style="font-family: Symbol; color: #182026;"><span style="font-style: normal; font-variant: normal; font-size-adjust: none; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-weight: normal; font-stretch: normal; line-height: normal;"> </span></span><span style="font-family: Arial; color: #182026;">Environmental dimension of quality of life: indicate how environmental conditions affect the quality of life and wellbeing of people;</span></span></li> <li><span style="font-size: 11pt;"><span style="font-family: Symbol; color: #182026;"><span style="font-style: normal; font-variant: normal; font-size-adjust: none; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-weight: normal; font-stretch: normal; line-height: normal;"> </span></span><span style="font-family: Arial; color: #182026;">Economic opportunities and policy responses: indicate the effectiveness of policies in delivering green growth and describe the societal responses needed to secure business and employment opportunities.</span></span></li></ul> <p><span style="font-size: 11pt;"><strong><span style="font-family: Arial; color: #182026;">Data source(s):</span></strong><span style="font-family: Arial; color: #182026;"> The database synthesises data according to well-specified criteria, across a wide range of domains from both OECD databases and external data sources. For further details, consult the&nbsp;</span><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0eddc076-a4f9-4a2b-8e86-4190c8523b59"><span style="font-family: Arial; background: white;">database documentation</span></a><span style="font-family: Arial; color: #182026;">.</span></span></p> <p style="margin: 0cm 12.0pt 12.0pt 0cm;"><span style="font-size: 11pt;"><strong><span style="font-family: Arial; color: #182026;">Dataset release date:</span></strong><span style="font-family: Arial; color: #182026;"> </span><span style="font-family: Arial; color: #182026;">September 2024</span></span></p> <p><span style="font-size: 11pt;"><strong><span style="font-family: 'Arial',sans-serif; color: #182026;">Contact:</span></strong><span style="font-family: 'Arial'; color: #182026;"> </span><span style="font-family: 'Arial',sans-serif; color: #182026;">env.stat@oecd.org</span></span></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=1990,MEASURE=BONDS DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS Green transition Green transition NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2010 DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Waste - Hazardous waste: generation and movements Déchets - Déchets dangereux: production et mouvements <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset presents information on national production, movement and disposal of hazardous waste. Hazardous waste refer to the categories of waste to be controlled according to the Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and their Disposal on the control of transboundary movements of hazardous waste and their disposal.&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: (i) OECD State of the environment questionnaire for non-European countries and (ii) Eurostat database (<a href="https://ec.europa.eu/eurostat/web/environment/database">https://ec.europa.eu/eurostat/web/environment/database</a>) for EU countries.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: December 6, 2023</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;padding:0cm;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ff897add-dca6-4f85-8d88-37301f237183"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></p> </div> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es pr&eacute;sente les donn&eacute;es sur la production nationale, les mouvements et le traitement de d&eacute;chets dangereux. Les d&eacute;chets dangereux correspondent aux cat&eacute;gories de d&eacute;chets &agrave; contr&ocirc;ler d&apos;apr&egrave;s la Convention de B&acirc;le sur le contr&ocirc;le des mouvements transfronti&egrave;res des produits dangereux et leur &eacute;limination.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: (i) Questionnaire OCDE sur l&rsquo;&rsquo;etat de l&rsquo;environnement pour les pays non-europ&eacute;ens et (ii) base de donn&eacute;es Eurostat (</span><span style='font-family:"Arial",sans-serif;'><a href="https://ec.europa.eu/eurostat/web/environment/database">https://ec.europa.eu/eurostat/web/environment/database</a></span><span style='font-family:"Arial",sans-serif;'>) pour les pays europ&eacute;ens.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 6 d&eacute;cembre 2023</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ff897add-dca6-4f85-8d88-37301f237183"><span style='font-family:"Arial",sans-serif;'>Documentation de la base de donn&eacute;es</span></a></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'><br></div> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA=AUS,TIME_PERIOD_START=2018,MEASURE=TES_GDP DEFAULT IPAC Dashboard indicators Indicateurs du tableau de bord IPAC NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,ISO NOT_DISPLAYED MEASURE=LCC_NATLOSS,TIME_PERIOD_START=2000,TIME_PERIOD_END=2022,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA20+EU27_2020+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC+W+A9,UNIT_MEASURE=PT_LND_NTR_SNTR_BP DEFAULT ISO:OECD.ENV.EPI:HCL_AREA_LAND_COVER(1.0).H HIER_CONTEXT Land cover and land cover change La couverture du sol et changement de la couverture du sol The land cover dataset provides a global assessment of land cover and land cover change to monitor pressures on ecosystems and biodiversity. By using geospatial data with high spatio-temporal resolution, it develops a set of internationally comparable indicators with a long time series and a five-year interval from 2000 to 2022 for the Climate Change Initiative Land Cover dataset, and from 1975 to 2030 for the Global Human Settlement Layer dataset. Please see the <a href="https://doi.org/10.1787/441a7a6c-en">working paper</a> for a more complete description of the methods. <br></br>The dataset has a global coverage on the national level, while on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. The following country aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas, the LAC region and the World. <br></br><b>Data source(s)</b>: <a href="https://www.esa-landcover-cci.org/">Climate Change Initiative</a> land cover data and <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> built-up area data. <br></br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> <br></br>Database documentation L'ensemble de données sur la couverture du sol fournit une évaluation globale de la couverture du sol et changement de la couverture du sol afin de surveiller les pressions exercées sur les écosystèmes et la biodiversité. En utilisant des données géospatiales à haute résolution spatio-temporelle, il développe un ensemble d'indicateurs comparables au niveau international avec une longue série temporelle et un intervalle de cinq ans de 2000 à 2022 pour l'ensemble de données Climate Change Initiative Land Cover, et de 1975 à 2030 pour l'ensemble de données Global Human Settlement Layer. Veuillez consulter le <a href="https://doi.org/10.1787/441a7a6c-en">document de travail</a> pour une description plus complète des méthodes. <br></br>L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques, pays d'Amérique latine et monde. <br></br><b>Source(s) de données</b>: <a href="https://www.esa-landcover-cci.org/">Climate Change Initiative</a> données sur la couverture des sols et <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> données géospatiales sur les zones bâties. <br></br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> <br></br>Documentation de la base de données NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=AREA DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS Land use Utilisation des sols <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Land resources are one of the four components of the natural environment: water, air, land and living resources. In this context land is both:</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <ul style="list-style-type: disc;"> <li><span style='font-family:"Arial",sans-serif;'>a physical &quot;milieu&quot; necessary for the development of natural vegetation as well as cultivated vegetation;</span></li> <li><span style='font-family:"Arial",sans-serif;'>a resource for human activities.</span></li> </ul> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>The data presented here give information concerning land use state and changes (e.g. agricultural land, forest land).</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: Food and Agriculture Organization of the U.N., (<a href="https://www.fao.org/faostat/en/#data/RL">FAOSTAT</a>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: July 5, 2024</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1a18840d-857e-4575-8189-6b089a06061d"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><br></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fd60b6a5-1001-4671-950c-3a6e5c9f8cb9">Countries metadata</a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les ressources fonci&egrave;res sont l&apos;une des quatre composantes de l&apos;environnement naturel : l&apos;eau, l&apos;air, la terre et les ressources vivantes. Dans ce contexte, la terre est &agrave; la fois</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>- un &quot;milieu&quot; physique n&eacute;cessaire au d&eacute;veloppement de la v&eacute;g&eacute;tation naturelle et de la v&eacute;g&eacute;tation cultiv&eacute;e ;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>- une ressource pour les activit&eacute;s humaines.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les donn&eacute;es pr&eacute;sent&eacute;es ici fournissent des informations sur l&apos;&eacute;tat et les changements de l&apos;utilisation des terres (par exemple, terres agricoles, terres foresti&egrave;res).</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es : Organisation des Nations unies pour l&apos;alimentation et l&apos;agriculture, (</span><span style='font-family:"Arial",sans-serif;'><a href="https://www.fao.org/faostat/en/#data/RL">FAOSTAT</a></span><span style='font-family:"Arial",sans-serif;'>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: ENV.Stat@oecd.org</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><span style='font-family:"Arial",sans-serif;'>5 Juillet 2024</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1a18840d-857e-4575-8189-6b089a06061d"><span style='font-family:"Arial",sans-serif;'>Documentation de la base de donn&eacute;es</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><br></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fd60b6a5-1001-4671-950c-3a6e5c9f8cb9">M&eacute;tadonn&eacute;es Pays</a></span></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=AREA DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS Land use hidden Utilisation des sols caché <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Land resources are one of the four components of the natural environment: water, air, land and living resources. In this context land is both:</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <ul style="list-style-type: disc;"> <li><span style='font-family:"Arial",sans-serif;'>a physical &quot;milieu&quot; necessary for the development of natural vegetation as well as cultivated vegetation;</span></li> <li><span style='font-family:"Arial",sans-serif;'>a resource for human activities.</span></li> </ul> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>The data presented here give information concerning land use state and changes (e.g. agricultural land, forest land).</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: Food and Agriculture Organization of the U.N., (<a href="https://www.fao.org/faostat/en/#data/RL">FAOSTAT</a>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: June 3, 2024</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1a18840d-857e-4575-8189-6b089a06061d"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><br></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=abe6cd0d-9a74-442c-9818-a57322fa6c9b">Countries metadata</a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les ressources fonci&egrave;res sont l&apos;une des quatre composantes de l&apos;environnement naturel : l&apos;eau, l&apos;air, la terre et les ressources vivantes. Dans ce contexte, la terre est &agrave; la fois</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>- un &quot;milieu&quot; physique n&eacute;cessaire au d&eacute;veloppement de la v&eacute;g&eacute;tation naturelle et de la v&eacute;g&eacute;tation cultiv&eacute;e ;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>- une ressource pour les activit&eacute;s humaines.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les donn&eacute;es pr&eacute;sent&eacute;es ici fournissent des informations sur l&apos;&eacute;tat et les changements de l&apos;utilisation des terres (par exemple, terres agricoles, terres foresti&egrave;res).</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es : Organisation des Nations unies pour l&apos;alimentation et l&apos;agriculture, (</span><span style='font-family:"Arial",sans-serif;'><a href="https://www.fao.org/faostat/en/#data/RL">FAOSTAT</a></span><span style='font-family:"Arial",sans-serif;'>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: ENV.Stat@oecd.org</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><span style='font-family:"Arial",sans-serif;'>3 Juin 2024</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1a18840d-857e-4575-8189-6b089a06061d"><span style='font-family:"Arial",sans-serif;'>Documentation de la base de donn&eacute;es</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><br></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=abe6cd0d-9a74-442c-9818-a57322fa6c9b">M&eacute;tadonn&eacute;es Pays</a></span></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,OBS_STATUS_4 LAYOUT_FLAG OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,GROUP=TOT,MEASURE=DMC,REF_AREA=OECD DEFAULT UNIT_MULT,UNIT_MEASURE,PRICE_BASE,BASE_PER,CONVERSION_TYPE UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE,PRICE_BASE,BASE_PERIOD,CONVERSION_TYPE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Material flow accounts Comptes de flux de matières <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>These data refer to material resources, i.e. materials originating from natural resources that form the material basis of the economy: metals (ferrous, non-ferrous) non-metallic minerals (construction minerals, industrial minerals), biomass (wood, food) and fossil energy carriers.&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: U.N. Environment Programme (UNEP) <a href="https://www.resourcepanel.org/global-material-flows-database">Global Material Flows Database</a> for non European countries and for material footprint data; Eurostat&rsquo;s <a href="https://ec.europa.eu/eurostat/web/environment/material-flows-and-resource-productivity/database">Material Flow and Productivity</a> database (for EU countries + Norway, Switzerland and T&uuml;rkiye)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: June 27, 2024</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=668e5467-5ed3-49c3-8157-cb9764a55f46"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Ces donn&eacute;es concernent les ressources mat&eacute;rielles, c.&agrave;.d. les mati&egrave;res issues de ressources naturelles qui constituent la base mat&eacute;rielle de l&apos;&eacute;conomie : les m&eacute;taux (ferreux, non-ferreux), les min&eacute;raux non-m&eacute;talliques (min&eacute;raux de construction, min&eacute;raux industriels), la biomasse (bois, aliments), les &eacute;nergies fossiles.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es : Base de donn&eacute;es du Programme des Nations unies pour l&apos;environnement (PNUE) sur les&nbsp;</span><span style='font-family:"Arial",sans-serif;'><a href="https://www.resourcepanel.org/global-material-flows-database">flux mondiaux de mati&egrave;res</a></span><span style='font-family:"Arial",sans-serif;'>&nbsp;pour les pays non europ&eacute;ens et pour les donn&eacute;es relatives &agrave; l&apos;empreinte mat&eacute;rielle ; base de donn&eacute;es d&apos;Eurostat sur les&nbsp;</span><span style='font-family:"Arial",sans-serif;'><a href="https://ec.europa.eu/eurostat/web/environment/material-flows-and-resource-productivity/database">flux de mati&egrave;res et la productivit&eacute;</a></span><span style='font-family:"Arial",sans-serif;'>&nbsp;(pour les pays de l&apos;UE + la Norv&egrave;ge, la Suisse et la Turquie).</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 27 Juin 2024</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=668e5467-5ed3-49c3-8157-cb9764a55f46"><span style='font-family:"Arial",sans-serif;'>Documentation de la base de donn&eacute;es</span></a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,OBS_STATUS_4 LAYOUT_FLAG OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=MUNICIPAL,TIME_PERIOD_START=2015,UNIT_MEASURE=T DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,BASE_PER,CONVERSION_TYPE,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Waste - Municipal waste: generation and treatment Déchets - Déchets municipaux: production et traitement <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset presents trends in amounts of municipal waste generated (including household waste), and the treatment and disposal method used. The amount of waste generated in each country is related to the rate of urbanisation, the types and pattern of consumption, household revenue and lifestyles.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: OECD Annual Quality Assurance (AQA) questionnaire (jointly collected with Eurostat) for OECD countries. UNSD, Country Files from the UNSD/UNEP data collection on environment statistics (available at:&nbsp;</span><a href="https://unstats.un.org/unsd/envstats/country_files"><span style='font-family:"Arial",sans-serif;'>https://unstats.un.org/unsd/envstats/country_files</span></a><span style='font-family:"Arial",sans-serif;'>) for non-OECD countries.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: April 9, 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;padding:0cm;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b2ccb1bb-647d-401a-a314-87bfbc8b200c">Database documentation</a></span></p> </div> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es pr&eacute;sente les tendances des quantit&eacute;s de d&eacute;chets municipaux produites (y compris les d&eacute;chets des m&eacute;nages), ainsi que les m&eacute;thodes de traitement et d&apos;&eacute;limination utilis&eacute;es. Les quantit&eacute;s de d&eacute;chets produites dans chaque pays sont li&eacute;es au degr&eacute; d&apos;urbanisation, aux types et structures de consommation ainsi qu&apos;au niveau des revenus et style de vie des m&eacute;nages.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>: Questionnaire Assurance Qualit&eacute; Annuelle (AQA) de l&rsquo;OCDE (conjointement avec Eurostat) pour les pays OCDE. UNSD, Country Files from the UNSD/UNEP data collection on environment statistics (disponible &agrave; l&apos;adresse :&nbsp;</span><a href="https://unstats.un.org/unsd/envstats/country_files"><span style='font-family:"Arial",sans-serif;'>https://unstats.un.org/unsd/envstats/country_files</span></a><span style='font-family:"Arial",sans-serif;'>) pour les pays non membres de l&apos;OCDE.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 9 avril 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b2ccb1bb-647d-401a-a314-87bfbc8b200c"><span style='font-family:"Arial",sans-serif;'>Documentation de la base de donn&eacute;es</span></a></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'><br></div> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN IUCN_CODE,OBS_STATUS LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=TERRESTRIAL,DESIGNATION=ALL_INC_P,CALC_METHOD=TCEOA,SCOPE=CNTRY,UNIT_MEASURE=PT_LAR DEFAULT 8000 MAX_TABLE_DATA Protected areas Aires protégées This dataset provides country-level protected area coverage for terrestrial, marine and coastal domains calculated from the World Database on Protected Areas (<a href="https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA"><b>WDPA</b></a>). It provides disaggregations of protected area total by IUCN management objectives. The dataset spans the period 1950-2022 and reports results for all OECD countries as well as South Africa, all countries in South America, Central America and the Caribbean and a subset of countries in South-East Asia. A number of country aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and Latin American countries.<br /><br />The International Union for the Conservation of Nature (<a href="https://www.iucn.org/"><b>IUCN</b></a>) has developed an internationally agreed definition of protected areas, which classify them as strict nature reserves and wilderness areas (Ia and Ib), national parks (II), natural monuments or features (III), habitat or species management areas (IV), protected landscapes or seascapes (V), and protected areas with sustainable use of natural resources (VI). Cet ensemble de données fournit une couverture des aires protégées à l'échelle nationale pour les domaines terrestres, marins et côtiers, calculée à partir de la base de données mondiale sur les aires protégées (<a href="https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA"><b>WDPA</b></a>). Il procure les désagrégations de la superficie totale des aires protégées selon les objectifs de gestion de l'UICN. L'ensemble de données couvre la période de 1950 à 2022 et présente les résultats pour tous les pays de l'OCDE ainsi que pour l'Afrique du Sud, tous les pays d'Amérique du Sud, d'Amérique centrale et des Caraïbes et un sous-ensemble de pays d'Asie du Sud-Est. Un certain nombre de groupes de pays sont inclus: zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et pays d'Amérique latine.<br /><br />L'Union internationale pour la conservation de la nature (<a href="https://www.iucn.org/fr"><b>UICN</b></a>) a élaboré une définition des aires protégées internationalement reconnue, qui les classe en réserves naturelles intégrales et zones de nature sauvage (Ia et Ib), parcs nationaux (II), monuments ou éléments naturels (III), aire de gestion des habitats ou des espèces(IV), paysages terrestres ou marins protégés (V) et aires protégées de ressources naturelles gérée (VI). NonProductionDataflow true REF_AREA LAYOUT_ROW PARTNER LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=CAN+COL+FRA+DEU+JPN+KOR+LVA+GBR+USA+CHN+MAR,TIME_PERIOD_START=2022,PARTNER=CAN+COL+FRA+DEU+JPN+KOR+LVA+GBR+USA+CHN+MAR,TECH=ENV_PAT DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Patents - international bilateral collaboration in technology development Brevets - Collaborations bilatérales dans le développement technologique <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">Patent statistics and indicators are suitable for tracking innovation in environment-related technologies. They allow the assessment of countries&apos; innovation performance as well as the design of governments&apos; environmental and innovation policies.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: Arial, sans-serif;">This dataset presents data on bilateral collaborations in environment-related technologies, using inventors&rsquo; country of residence.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">For more information on the methodology, click the link below on &quot;Database documentation&quot;</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Data source(s)</span></strong><span style="font-family: Arial, sans-serif;">:&nbsp;</span><span style="font-family: Arial, sans-serif;">OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color: rgb(79, 129, 189);"> <a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Contact</span></strong><span style="font-family: Arial, sans-serif;">:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style="font-family: Arial, sans-serif;">ENV.Stat@oecd.org</span></a></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Dataset release date</span></strong><span style="font-family: Arial, sans-serif;">: March 12, 2025</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style='font-size:16px;line-height:115%;font-family:"Aptos",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=96b856d6-58fd-4679-87fc-085d78a060a5">Database documentation</a></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">Les statistiques et les indicateurs relatifs aux brevets sont adapt&eacute;s au suivi de l&apos;innovation dans les technologies li&eacute;es &agrave; l&apos;environnement. Ils permettent d&apos;&eacute;valuer les performances des pays en mati&egrave;re d&apos;innovation et de concevoir les politiques environnementales et d&apos;innovation des gouvernements.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'>Cette base de donn&eacute;es pr&eacute;sente des donn&eacute;es sur les collaborations bilat&eacute;rales dans le domaine des technologies li&eacute;es &agrave; l&apos;environnement, en utilisant le pays de r&eacute;sidence des inventeurs<span style="text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: Arial, sans-serif;">.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">&nbsp;Pour plus d&apos;information sur la m&eacute;thodologie, suivre le lien ci-dessous sur la &quot;Documentation de la base de donn&eacute;es&quot;.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Source(s) de donn&eacute;es</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color: rgb(79, 129, 189);"> </span></span><span style="color: rgb(79, 129, 189);font-family: Arial, sans-serif;"><a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Contact</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a>&nbsp;</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Date de publication de la base de donn&eacute;es</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: 12 Mars 2025</span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=96b856d6-58fd-4679-87fc-085d78a060a5">Documentation de la base de donn&eacute;es</a></p> NonProductionDataflow true TECH LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,MEASURE=WITHIN DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Patents - international collaboration in technology development Brevets - Collaboration internationale dans le développement technologique <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">Patent statistics and indicators are suitable for tracking innovation in environment-related technologies. They allow the assessment of countries&apos; innovation performance as well as the design of governments&apos; environmental and innovation policies.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: Arial, sans-serif;">This dataset presents data on shares of co-inventions and on shares of inventors&rsquo; collaborations across the OECD area and elsewhere, in environment-related technologies, using inventors&rsquo; country of residence.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">For more information on the methodology, click the link below on &quot;Database documentation&quot;</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Data source(s)</span></strong><span style="font-family: Arial, sans-serif;">:&nbsp;</span><span style="font-family: Arial, sans-serif;">OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color: rgb(79, 129, 189);"> <a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Contact</span></strong><span style="font-family: Arial, sans-serif;">:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style="font-family: Arial, sans-serif;">ENV.Stat@oecd.org</span></a></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Dataset release date</span></strong><span style="font-family: Arial, sans-serif;">: March 12, 2025</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style='font-size:16px;line-height:115%;font-family:"Aptos",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=96b856d6-58fd-4679-87fc-085d78a060a5">Database documentation</a></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">Les statistiques et les indicateurs relatifs aux brevets sont adapt&eacute;s au suivi de l&apos;innovation dans les technologies li&eacute;es &agrave; l&apos;environnement. Ils permettent d&apos;&eacute;valuer les performances des pays en mati&egrave;re d&apos;innovation et de concevoir les politiques environnementales et d&apos;innovation des gouvernements.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'>Cette base de donn&eacute;es pr&eacute;sente des donn&eacute;es sur la part des co-inventions et sur la part des collaborations entre inventeurs dans la zone OCDE et ailleurs, dans le domaine des technologies li&eacute;es &agrave; l&apos;environnement, en utilisant le pays de r&eacute;sidence de l&apos;inventeur.</p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">&nbsp;Pour plus d&apos;information sur la m&eacute;thodologie, suivre le lien ci-dessous sur la &quot;Documentation de la base de donn&eacute;es&quot;.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Source(s) de donn&eacute;es</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color: rgb(79, 129, 189);"> </span></span><span style="color: rgb(79, 129, 189);font-family: Arial, sans-serif;"><a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Contact</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a>&nbsp;</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Date de publication de la base de donn&eacute;es</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: 12 Mars 2025</span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=96b856d6-58fd-4679-87fc-085d78a060a5">Documentation de la base de donn&eacute;es</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED SEX=TOTAL,UNIT_MEASURE=PATN,SIZE=TWO,TECH=ENV_PAT,TIME_PERIOD_START=2015 DEFAULT Patents - technology development Brevets - développement technologique <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Patent statistics and indicators are suitable for tracking innovation in environment-related technologies. They allow the assessment of countries&apos; innovation performance as well as the design of governments&apos; environmental and innovation policies.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset presents data on inventions in environment-related technologies, using inventors&rsquo; country of residence, as well as on shares of inventions by gender of the inventor.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><span style='font-family:"Arial",sans-serif;'>OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color:#4F81BD;">&nbsp;<a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: March 12, 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=96b856d6-58fd-4679-87fc-085d78a060a5"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les statistiques et les indicateurs relatifs aux brevets sont adapt&eacute;s au suivi de l&apos;innovation dans les technologies li&eacute;es &agrave; l&apos;environnement. Ils permettent d&apos;&eacute;valuer les performances des pays en mati&egrave;re d&apos;innovation et de concevoir les politiques environnementales et d&apos;innovation des gouvernements.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es pr&eacute;sente des donn&eacute;es sur les inventions dans le domaine des technologies li&eacute;es &agrave; l&apos;environnement, en utilisant le pays de r&eacute;sidence des inventeurs, ainsi que sur la part des inventions en fonction du sexe de l&apos;inventeur.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color:#4F81BD;">&nbsp;</span></span><span style='font-family:"Arial",sans-serif;color:#4F81BD;'><a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 12 Mars 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=96b856d6-58fd-4679-87fc-085d78a060a5"><span style='font-family:"Arial",sans-serif;'>Documentation de la base de donn&eacute;es</span></a></p> NonProductionDataflow true TECH LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2010,PAT=_Z DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Patents - technology diffusion Brevets - Diffusion technologique <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">Patent statistics and indicators are suitable for tracking innovation in environment-related technologies. They allow the assessment of countries&apos; innovation performance as well as the design of governments&apos; environmental and innovation policies.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">This dataset presents data on patent applications by patent office.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">For more information on the methodology, click the link below on &quot;Database documentation&quot;</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Data source(s)</span></strong><span style="font-family: Arial, sans-serif;">:&nbsp;</span><span style="font-family: Arial, sans-serif;">OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color: rgb(79, 129, 189);"> <a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Contact</span></strong><span style="font-family: Arial, sans-serif;">:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style="font-family: Arial, sans-serif;">ENV.Stat@oecd.org</span></a></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Dataset release date</span></strong><span style="font-family: Arial, sans-serif;">: March 12, 2025</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style='font-size:16px;line-height:115%;font-family:"Aptos",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=96b856d6-58fd-4679-87fc-085d78a060a5">Database documentation</a></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">Les statistiques et les indicateurs relatifs aux brevets sont adapt&eacute;s au suivi de l&apos;innovation dans les technologies li&eacute;es &agrave; l&apos;environnement. Ils permettent d&apos;&eacute;valuer les performances des pays en mati&egrave;re d&apos;innovation et de concevoir les politiques environnementales et d&apos;innovation des gouvernements.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">Cette base de donn&eacute;es pr&eacute;sente des donn&eacute;es sur les demandes de brevets par office des brevets.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">&nbsp;Pour plus d&apos;information sur la m&eacute;thodologie, suivre le lien ci-dessous sur la &quot;Documentation de la base de donn&eacute;es&quot;.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Source(s) de donn&eacute;es</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color: rgb(79, 129, 189);"> </span></span><span style="color: rgb(79, 129, 189);font-family: Arial, sans-serif;"><a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Contact</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a>&nbsp;</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Date de publication de la base de donn&eacute;es</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: 12 Mars 2025</span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=96b856d6-58fd-4679-87fc-085d78a060a5">Documentation de la base de donn&eacute;es</a></p> NonProductionDataflow true TYPE,TECH LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Patents - indicators Brevets - indicateurs <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">Patent statistics and indicators are suitable for tracking innovation in environment-related technologies. They allow the assessment of countries&apos; innovation performance as well as the design of governments&apos; environmental and innovation policies.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: Arial, sans-serif;">This dataset presents indicators on patents derived from the other patent databases (international collaborations, patent development and patent diffusion).</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">For more information on the methodology, click the link below on &quot;Database documentation&quot;</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Data source(s)</span></strong><span style="font-family: Arial, sans-serif;">:&nbsp;</span><span style="font-family: Arial, sans-serif;">OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color: rgb(79, 129, 189);"> <a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Contact</span></strong><span style="font-family: Arial, sans-serif;">:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style="font-family: Arial, sans-serif;">ENV.Stat@oecd.org</span></a></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Dataset release date</span></strong><span style="font-family: Arial, sans-serif;">: March 12, 2025</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style='font-size:16px;line-height:115%;font-family:"Aptos",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2196a270-c1ab-4728-9bbe-90fd1ea840bd">Database documentation</a></span></p> <p>Les statistiques et les indicateurs relatifs aux brevets sont adapt&eacute;s au suivi de l'innovation dans les technologies li&eacute;es &agrave; l'environnement. Ils permettent d'&eacute;valuer les performances des pays en mati&egrave;re d'innovation et de concevoir les politiques environnementales et d'innovation des gouvernements.</p> <p>Cette base de donn&eacute;es pr&eacute;sente des indicateurs sur les brevets d&eacute;riv&eacute;s des autres bases de donn&eacute;es sur les brevets (collaborations internationales, d&eacute;veloppement de brevets et diffusion de brevets).</p> <p>&nbsp;Pour plus d'information sur la m&eacute;thodologie, suivre le lien ci-dessous sur la "Documentation de la base de donn&eacute;es".</p> <p><strong>Source(s) de donn&eacute;es</strong>&nbsp;: OECD, STI Micro-data Lab: Intellectual Property Database, <a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></p> <p><strong>Contact</strong>&nbsp;: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a>&nbsp;</p> <p><strong>Date de publication de la base de donn&eacute;es</strong>&nbsp;: 12 Mars 2025</p> <p><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2196a270-c1ab-4728-9bbe-90fd1ea840bd">Documentation de la base de donn&eacute;es</a></p> NonProductionDataflow true MEASURE,DESIGNATION,RET_PERIOD,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS LAYOUT_FLAG OBS_STATUS=A,FREQ=A,UNIT_MULT=0,UNIT_MEASURE=_X,DEGISNATION=(_T+_Z),RET_PERIOD=(_T+_Z),REF_AREA=WXOECD NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2017 DEFAULT 8000 MAX_TABLE_DATA COMBINED_MEASURE:MEASURE,DESIGNATION,RET_PERIOD;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Measure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Sustainable Ocean Economy Economie durable de l'océan <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=548cebae-c83f-4548-b045-ec0cb6c116be">Documentation</a></h2></h2><p>The ocean is a shared global resource. Ocean-related industries in many countries have expanded with insufficient consideration for the environment, risking the natural resources and the essential marine ecosystem services on which economies and people&rsquo;s well-being depend.</p><p>The&nbsp;<a href="https://stats.oecd.org/index.aspx?datasetcode=OCEAN">OECD Sustainable Ocean Economy Database</a>&nbsp;synthesizes available ocean-related datasets and indicators from across the Organisation to improve their discoverability and comparability. The database brings together relevant indicators from the&nbsp;<a href="https://www.oecd.org/environment/">Environment Directorate</a>&nbsp;(ENV), the&nbsp;<a href="https://www.oecd.org/agriculture/topics/fisheries-and-aquaculture/">Trade and Agriculture Directorate</a>&nbsp;(TAD), the&nbsp;<a href="http://www.oecd.org/industry/tourism/">Centre for Entrepreneurship, SMEs, Regions and Cities</a>&nbsp;(CFE), the&nbsp;<a href="https://www.itf-oecd.org/">International Transport Forum</a>&nbsp;(ITF), the&nbsp;<a href=\"https://www.iea.org/\">International Energy Agency</a>&nbsp;(IEA), and others.</p>The conceptual framework</h2><p>The database structure follows the OECD&rsquo;s&nbsp;<a href="http://www.oecd.org/greengrowth/green-growth-indicators/">Green Growth indicators</a>&nbsp;framework. It is designed to help answer the following questions:</p><ul><li>Is the natural capital of the ocean being maintained?</li><li>How does a sustainable ocean economy benefit people?</li><li>Are we becoming more efficient in using marine and coastal ecosystem services?</li><li>What are the economic opportunities from promoting a sustainable ocean economy?</li><li>What policy responses are needed to speed up the transition?</li></ul>The indicator set</h2><p>Indicators for the following main themes are provided:</p><ol><li>Natural capital of the ocean</li><li>Environmental dimension of wellbeing and resilience in coastal communities</li><li>Environmental and resource productivity of the ocean economy</li><li>Economic opportunities from pursuing ocean sustainability</li><li>Policy responses directed at ocean sustainability</li><li>The socio-economic context</li></ol><p>This is a work in progress. Advances in many areas are needed to build a truly integrated database measuring the sustainability of the ocean economy. Development of new or improved ocean indicators will require mobilising data in existing statistics and statistical systems (e.g. satellite accounts to identify ocean industries in the SNA), building new statistical methodologies (e.g. air emission accounts for maritime shipping [SEEA-CF] or ocean ecosystem accounts [SEEA-EEA]) and identifying new sources of data (e.g. Earth observation).</p><p><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=548cebae-c83f-4548-b045-ec0cb6c116be">Documentation</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SOURCE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2 LAYOUT_FLAG OBS_STATUS=A,FREQ=A NOT_DISPLAYED SOURCE=TOTAL_ABSTRACT,MEASURE=TOTAL,TIME_PERIOD_START=2010,UNIT_MEASURE=M3_PS DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Freshwater - abstractions Eau douce - prélèvements <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>This dataset shows water abstractions by source (surface and ground water) and by major uses. Water abstractions refer to water taken from ground or surface water sources and conveyed to the place of use. If the water is returned to a surface water source, abstraction of the same water by the downstream user is counted again in compiling total abstractions.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>When interpreting those data, it should be borne in mind that the definitions and estimation methods employed by member countries may vary considerably.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Data source(s)</strong>: Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (Country Files from the UNSD/UNEP data collection on environment statistics (available at: <a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Funstats.un.org%2Funsd%2Fenvstats%2Fcountry_files&data=05%7C02%7CMauro.MIGOTTO%40oecd.org%7C7ea6f3f805c54ac71c0c08dd7781736f%7Cac41c7d41f61460db0f4fc925a2b471c%7C0%7C0%7C638798120182570804%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=E%2FXVio6Cf2tDv%2BRanuzY26iQlBGt4T6OqmiKPZ5%2F1Xg%3D&reserved=0">https://unstats.un.org/unsd/envstats/country_files</a>))</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Contact</strong>: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Dataset release date</strong>: April 15, 2025</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0d07c547-01e9-42a0-859d-ab4e71dddbaa">Country metadata - M&eacute;tadonn&eacute;es pays</a></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>Cette base de donn&eacute;es montre les pr&eacute;l&egrave;vements d&apos;eau par source (eaux de surface et eaux souterraines) et par utilisation principale. Les pr&eacute;l&egrave;vements d&apos;eau font r&eacute;f&eacute;rence &agrave; l&apos;eau pr&eacute;lev&eacute;e dans les sources d&apos;eau souterraines ou de surface et achemin&eacute;e jusqu&apos;au lieu d&apos;utilisation. Si l&apos;eau retourne &agrave; une source d&apos;eau de surface, le pr&eacute;l&egrave;vement de la m&ecirc;me eau par l&apos;utilisateur en aval est recompt&eacute; dans le calcul des pr&eacute;l&egrave;vements totaux.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>Lors de l&apos;interpr&eacute;tation de ces donn&eacute;es, il convient de garder &agrave; l&apos;esprit que les d&eacute;finitions et les m&eacute;thodes d&apos;estimation employ&eacute;es par les &eacute;tats membres peuvent varier consid&eacute;rablement.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Source(s) de donn&eacute;es</strong> : Questionnaire conjoint OCDE/Eurostat sur les eaux int&eacute;rieures. Les donn&eacute;es pour les pays non-OCDE sont sourc&eacute;es de UNSD (<a href="https://unstats.un.org/unsd/envstats/country_files">https://unstats.un.org/unsd/envstats/country_files</a>)</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Contact</strong> : <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Date de publication de la base de donn&eacute;es</strong> : 15 Avril 2025</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0d07c547-01e9-42a0-859d-ab4e71dddbaa">Country metadata - M&eacute;tadonn&eacute;es pays</a></p> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A NOT_DISPLAYED PERIOD=LTAA,REF_AREA=AUS DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Water accounts - assets Comptes de l'eau - actifs <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Water flow accounts describe flows of water, in physical units, encompassing the initial abstraction of water resources from the environment into the economy, to the water flows within the economy in the form of supply and use by industries and households, and finally, flows of water back to the environment.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Asset accounts for water resources focus on the inflows and outflows of water to and from the land surface and subsurface, and on the destination of these flows. They present information on the stock of water at the beginning and end of an accounting period.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (<a href="https://unstats.un.org/unsd/envstats/country_files">https://unstats.un.org/unsd/envstats/country_files</a>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: March 5, 2024</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=215d2edd-671d-4fe6-bc91-1f3e24b77768">Database documentation</a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les comptes de flux d&apos;eau d&eacute;crivent les flux d&apos;eau, en unit&eacute;s physiques, englobant l&apos;extraction initiale des ressources en eau de l&apos;environnement vers l&apos;&eacute;conomie, les flux d&apos;eau au sein de l&apos;&eacute;conomie sous la forme d&apos;approvisionnement et d&apos;utilisation par les industries et les m&eacute;nages, et enfin les flux d&apos;eau retournant &agrave; l&apos;environnement.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les comptes d&apos;actifs pour les ressources en eau se concentrent sur les flux d&apos;eau entrants et sortants de la surface du sol et du sous-sol, ainsi que sur la destination de ces flux. Ils pr&eacute;sentent des informations sur le stock d&apos;eau au d&eacute;but et &agrave; la fin d&apos;une p&eacute;riode comptable.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: Questionnaire conjoint OCDE/Eurostat sur les eaux int&eacute;rieures. Les donn&eacute;es pour les pays non-OCDE sont sourc&eacute;es de UNSD (</span><span style='font-family:"Arial",sans-serif;'><a href="https://unstats.un.org/unsd/envstats/country_files">https://unstats.un.org/unsd/envstats/country_files</a></span><span style='font-family:"Arial",sans-serif;'>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 5 Mars 2024</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=215d2edd-671d-4fe6-bc91-1f3e24b77768">Documentation de la base de donn&eacute;es</a></span></p> NonProductionDataflow true SOURCE,MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2015 DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Freshwater - balance table Eaux douces - bilan hydrique <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Water balance is a summary table of water abstractions and uses. Please refer to the &quot;Freshwater abstractions&quot; and &quot;Water use&quot; databases.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: Joint OECD/Eurostat questionnaire on Inland Waters</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><strong><span style='font-size:15px;font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-size:15px;font-family:"Arial",sans-serif;'>: March 12, 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Le bilan hydrique est un tableau r&eacute;capitulatif des pr&eacute;l&egrave;vements et des utilisations de l&apos;eau. Veuillez vous r&eacute;f&eacute;rer aux bases de donn&eacute;es &quot;Pr&eacute;l&egrave;vements d&apos;eau douce&quot; et &quot;Utilisation de l&apos;eau&quot;.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: Questionnaire conjoint OCDE/Eurostat sur les eaux int&eacute;rieures.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 12 Mars 2025</span></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,FREQ,UNIT_MULT=0 NOT_DISPLAYED PAR=VOLUME,MEASURE=ALL_AGR DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Wastewater - generation and discharge Eaux usées - production et rejet <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>This dataset shows generation, treatment and discharges of wastewater, by source and in terms of volumes and of Biochemical Oxygen Demand (BOD) and Chemical Oxygen Demand (COD).</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>UN-Habitat, WHO, and UNSD are co-custodians for SDG Indicator 6.3.1. &nbsp; The Eurostat/OECD Joint Questionnaire on Inland Waters serves as an important data source for the indicator. &nbsp;Progress reports are published every three years and global, regional, and country estimates are updated routinely. &nbsp;Progress reports, a data portal, methodological details, and country files can be found on the SDG Indicator 6.3.1 website.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Data source(s)</strong>: Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (Country Files from the UNSD/UNEP data collection on environment statistics (available at: <a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Funstats.un.org%2Funsd%2Fenvstats%2Fcountry_files&data=05%7C02%7CMauro.MIGOTTO%40oecd.org%7C7ea6f3f805c54ac71c0c08dd7781736f%7Cac41c7d41f61460db0f4fc925a2b471c%7C0%7C0%7C638798120182570804%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=E%2FXVio6Cf2tDv%2BRanuzY26iQlBGt4T6OqmiKPZ5%2F1Xg%3D&reserved=0">https://unstats.un.org/unsd/envstats/country_files</a>))</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Contact</strong>: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Dataset release date</strong>: April 15, 2025</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p><span style='font-size:16px;line-height:115%;font-family:"Aptos",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8ed90481-ffb9-4c38-99c6-b127917bbf37">Country metadata - M&eacute;tadonn&eacute;es pays</a></span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>Cette base de donn&eacute;es montre la production, le traitement et les rejets d&apos;eaux us&eacute;es, par source et en termes de volumes et de demande biochimique en oxyg&egrave;ne (BOD) et de demande chimique en oxyg&egrave;ne (COD).</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>ONU-Habitat, l&apos;OMS et la DSNU sont les co-responsables de l&apos;indicateur 6.3.1 de l&apos;ODD;. &nbsp;Le questionnaire commun Eurostat/OCDE sur les eaux int&eacute;rieures constitue une importante source de donn&eacute;es pour cet indicateur. &nbsp;Les rapports d&apos;avancement sont publi&eacute;s tous les trois ans et les estimations mondiales, r&eacute;gionales et nationales sont r&eacute;guli&egrave;rement mises &agrave; jour. &nbsp;Les rapports d&apos;avancement, un portail de donn&eacute;es, des d&eacute;tails m&eacute;thodologiques et des fichiers nationaux sont disponibles sur le site web de l&apos;indicateur 6.3.1 des ODD.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Source(s) de donn&eacute;es</strong> : Questionnaire conjoint OCDE/Eurostat sur les eaux int&eacute;rieures. Les donn&eacute;es pour les pays non-OCDE sont sourc&eacute;es de UNSD (<a href="https://unstats.un.org/unsd/envstats/country_files">https://unstats.un.org/unsd/envstats/country_files</a>)</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Contact</strong> : <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Date de publication de la base de donn&eacute;es</strong> : 15 Avril 2025</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8ed90481-ffb9-4c38-99c6-b127917bbf37">Country metadata - M&eacute;tadonn&eacute;es pays</a></p> NonProductionDataflow true MEASURE LAYOUT_ROW ACTIVITY LAYOUT_COLUMN OBS_STATUS=A,FREQ=A NOT_DISPLAYED SUPPLY_USE=SUPPLY,TIME_PERIOD_START=2021,REF_AREA=AUS,ACTIVITY=_T DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS Water accounts - supply and use Comptes de l'eau - ressources et des emplois <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Water flow accounts describe flows of water, in physical units, encompassing the initial abstraction of water resources from the environment into the economy, to the water flows within the economy in the form of supply and use by industries and households, and finally, flows of water back to the environment.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Physical supply and use tables can be compiled at various levels of detail, depending on the required policy and analytical focus and data availability. A basic PSUT for water contains information on the supply and use of water and provides an overview of water flows. The PSUT is divided into five sections which organize information on (a) abstraction of water from the environment; (b) distribution and use of abstracted water across enterprises and households; (c) flows of wastewater and reused water (between households and enterprises); (d) return flows of water to the environment; and (e) evaporation, transpiration and water incorporated into products.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (</span><a href="https://unstats.un.org/unsd/envstats/country_files"><span style='font-family:"Arial",sans-serif;'>https://unstats.un.org/unsd/envstats/country_files</span></a><span style='font-family:"Arial",sans-serif;'>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: March 5, 2024</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=24dac5e9-f323-4fde-9a8e-9b60e487bcaa"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les comptes de flux d&apos;eau d&eacute;crivent les flux d&apos;eau, en unit&eacute;s physiques, englobant l&apos;extraction initiale des ressources en eau de l&apos;environnement vers l&apos;&eacute;conomie, les flux d&apos;eau au sein de l&apos;&eacute;conomie sous la forme d&apos;approvisionnement et d&apos;utilisation par les industries et les m&eacute;nages, et enfin les flux d&apos;eau retournant &agrave; l&apos;environnement.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les tableaux physiques des ressources et des emplois peuvent &ecirc;tre compil&eacute;s &agrave; diff&eacute;rents niveaux de d&eacute;tail, en fonction de l&apos;orientation politique et analytique requise et de la disponibilit&eacute; des donn&eacute;es. Un PSUT de base pour l&apos;eau contient des informations sur l&apos;approvisionnement et l&apos;utilisation de l&apos;eau et fournit une vue d&apos;ensemble des flux d&apos;eau. Le PSUT est divis&eacute; en cinq sections qui organisent les informations sur (a) le pr&eacute;l&egrave;vement d&apos;eau dans l&apos;environnement ; (b) la distribution et l&apos;utilisation de l&apos;eau pr&eacute;lev&eacute;e par les entreprises et les m&eacute;nages ; (c) les flux d&apos;eaux us&eacute;es et d&apos;eau r&eacute;utilis&eacute;e (entre les m&eacute;nages et les entreprises) ; (d) les flux de retour de l&apos;eau dans l&apos;environnement ; et (e) l&apos;&eacute;vaporation, la transpiration et l&apos;eau incorpor&eacute;e dans les produits.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: Questionnaire conjoint OCDE/Eurostat sur les eaux int&eacute;rieures. Les donn&eacute;es pour les pays non-OCDE sont sourc&eacute;es de UNSD (</span><a href="https://unstats.un.org/unsd/envstats/country_files"><span style='font-family:"Arial",sans-serif;'>https://unstats.un.org/unsd/envstats/country_files</span></a><span style='font-family:"Arial",sans-serif;'>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 5 Mars 2024</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=24dac5e9-f323-4fde-9a8e-9b60e48 NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A NOT_DISPLAYED PERIOD=LTAA,TIME_PERIOD_START=2015,REF_AREA=AUS,MEASURE=AQUIFER_RESOU+EVAP_RESOU+IN_RESOU+INTERN_RESOU+OUT_RESOU+OUT_NEI_RESOU+OUT_SEA_RESOU+PREC_RESOU+RENEW_RESOU DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Freshwater - resources Eau douce - ressources <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>This dataset shows countries&rsquo; freshwater resources, and their cycles, both annually and long-term averages. &nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Data source(s)</strong>: Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (Country Files from the UNSD/UNEP data collection on environment statistics (available at: <a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Funstats.un.org%2Funsd%2Fenvstats%2Fcountry_files&data=05%7C02%7CMauro.MIGOTTO%40oecd.org%7C7ea6f3f805c54ac71c0c08dd7781736f%7Cac41c7d41f61460db0f4fc925a2b471c%7C0%7C0%7C638798120182570804%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=E%2FXVio6Cf2tDv%2BRanuzY26iQlBGt4T6OqmiKPZ5%2F1Xg%3D&reserved=0">https://unstats.un.org/unsd/envstats/country_files</a>))</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Contact</strong>: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Dataset release date</strong>: April 15, 2025</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5533afec-586d-4665-bc45-f1014998dba1">Country metadata - M&eacute;tadonn&eacute;es pays</a></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>Cette base de donn&eacute;es montre les ressources en eau douce et leurs cycle, par ann&eacute;e et par moyenne &agrave; long terme.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Source(s) de donn&eacute;es</strong> : Questionnaire conjoint OCDE/Eurostat sur les eaux int&eacute;rieures. Les donn&eacute;es pour les pays non-OCDE sont sourc&eacute;es de UNSD (<a href="https://unstats.un.org/unsd/envstats/country_files">https://unstats.un.org/unsd/envstats/country_files</a>)</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Contact</strong> : <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Date de publication de la base de donn&eacute;es</strong> : 15 Avril 2025</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5533afec-586d-4665-bc45-f1014998dba1">Country metadata - M&eacute;tadonn&eacute;es pays</a></p> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2010 DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS Wastewater - connection rates to treatment Eaux usées - taux de raccordement au traitement <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset provides information on the level of public equipment installed by countries to managed and abate water pollution. It shows the percentage of national population connected to &quot;public&quot; sewerage networks and related treatment facilities, and the percentage of national population connected to &quot;public&quot; wastewater treatment plants, and the degree of treatment. Connected here means actually connected to a wastewater plants through a public sewage network. When analysing these data, it should be kept in mind that the optimal connection rate is not necessarily 100%. It may vary among countries and depends on geographical features and on the spatial distribution of habitats. The interpretation of those data should take into account some variations in countries&apos; definitions, as reflected in metadata.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;color:#333333;font-weight:normal;'>Data for EU countries, Iceland, Norway, Switzerland and Turkey is provisional. Data for these countries will be updated when Eurostat will have published its final data.</span></strong></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (</span><a href="https://unstats.un.org/unsd/envstats/country_files"><span style='font-family:"Arial",sans-serif;'>https://unstats.un.org/unsd/envstats/country_files</span></a><span style='font-family:"Arial",sans-serif;'>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: Mars 12, 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=49f30a22-cdc4-4aa4-87a4-66974860d047"><span style='font-family:"Arial",sans-serif;'>Country metadata - M&eacute;tadonn&eacute;es pays</span></a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es fournit des informations sur le niveau d&apos;&eacute;quipements publics existant dans les pays pour g&eacute;rer et lutter contre la pollution de l&apos;eau. Il pr&eacute;sente les pourcentages de population nationale raccord&eacute;e &agrave; un r&eacute;seau d&apos;assainissement collectif et &agrave; des installations de traitement, ainsi que les pourcentages de population nationale raccord&eacute;e &agrave; une station d&apos;&eacute;puration collective et le degr&eacute; de traitement. Raccord&eacute;e signifie effectivement connect&eacute;e &agrave; une station d&apos;&eacute;puration &agrave; travers un r&eacute;seau public d&apos;assainissement. En analysant ces donn&eacute;es il faut garder &agrave; l&apos;esprit que le taux optimal de connexion n&apos;est pas n&eacute;cessairement de 100%. Il peut varier d&apos;un pays &agrave; l&apos;autre et d&eacute;pend des caract&eacute;ristiques g&eacute;ographiques et de la distribution spatiale des habitats. L&apos;interpr&eacute;tation de ces donn&eacute;es doit prendre en compte les diff&eacute;rences de d&eacute;finition entre les pays telles que les m&eacute;tadonn&eacute;es le pr&eacute;cisent.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;color:#333333;font-weight:normal;'>Les donn&eacute;es pour les pays UE, Norv&egrave;ge, Islande, Suisse et Turquie sont provisoires. Les donn&eacute;es pour ces pays seront mis &agrave; jour une fois que Eurostat aura publi&eacute; ses donn&eacute;es finales.</span></strong></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: Questionnaire conjoint OCDE/Eurostat sur les eaux int&eacute;rieures. Les donn&eacute;es pour les pays non-OCDE sont sourc&eacute;es de UNSD (</span><a href="https://unstats.un.org/unsd/envstats/country_files"><span style='font-family:"Arial",sans-serif;'>https://unstats.un.org/unsd/envstats/country_files</span></a><span style='font-family:"Arial",sans-serif;'>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 12 Mars 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?ID NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A NOT_DISPLAYED REF_AREA=AUS,SOURCE=PUBLIC,TIME_PERIOD_START=2015 DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Freshwater - use Eaux douces - utilisation <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset presents national-level data on water made available for use, by sector. The interpretation of those data should take into account some variations in countries&apos; definitions, as reflected in metadata.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;color:#333333;font-weight:normal;'>Data for EU countries, Iceland, Norway, Switzerland and Turkey is provisional. Data for these countries will be updated when Eurostat will have published its final data.</span></strong></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (</span><a href="https://unstats.un.org/unsd/envstats/country_files"><span style='font-family:"Arial",sans-serif;'>https://unstats.un.org/unsd/envstats/country_files</span></a><span style='font-family:"Arial",sans-serif;'>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: April 14, 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=49127fb2-0dd3-42b5-8ccd-6baae235a372"><span style='font-family:"Arial",sans-serif;'>Country metadata - M&eacute;tadonn&eacute;es pays</span></a></span></p> <p>Cette base de donn&eacute;es pr&eacute;sente des donn&eacute;es nationales sur l'eau mise &agrave; disposition pour l'utilisation, par secteur. L'interpr&eacute;tation de ces donn&eacute;es doit prendre en compte les diff&eacute;rences de d&eacute;finition entre les pays telles que les m&eacute;tadonn&eacute;es le pr&eacute;cisent.</p> <p>Les donn&eacute;es pour les pays UE, Norv&egrave;ge, Islande, Suisse et Turquie sont provisoires. Les donn&eacute;es pour ces pays seront mis &agrave; jour une fois que Eurostat aura publi&eacute; ses donn&eacute;es finales.</strong></p> <p><strong>Source(s) de donn&eacute;es</strong> : Questionnaire conjoint OCDE/Eurostat sur les eaux int&eacute;rieures. Les donn&eacute;es pour les pays non-OCDE sont sourc&eacute;es de UNSD (<a href="https://unstats.un.org/unsd/envstats/country_files">https://unstats.un.org/unsd/envstats/country_files</a>)</p> <p><strong>Contact</strong> : <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></p> <p><strong>Date de publication de la base de donn&eacute;es</strong> : 14 Avril 2025</p> <p><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=49127fb2-0dd3-42b5-8ccd-6baae235a372">Country metadata - M&eacute;tadonn&eacute;es pays</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW SPECIES LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED MEASURE=THREAT_PERCENT DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Threatened species Espèces menacées <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset presents the latest data on the state of threatened species, by species type.&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>When interpreting these data, it should be borne in mind that the number of species known does not always accurately reflect the number of species in existence and that varying definitions can limit comparability across countries.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: OECD Annual Quality Assurance (AQA) questionnaire.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: February 26, 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;padding:0cm;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=05a6b727-0a8d-4ee1-a9b6-e5de6766a2b3"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></p> </div> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es pr&eacute;sente les donn&eacute;es les plus r&eacute;centes sur la situation des esp&egrave;ces menac&eacute;es, par type d&apos;esp&egrave;ce.&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Lors de l&apos;interpr&eacute;tation de ces donn&eacute;es, il convient de garder &agrave; l&apos;esprit que le nombre d&apos;esp&egrave;ces connues ne refl&egrave;te pas toujours avec pr&eacute;cision le nombre d&apos;esp&egrave;ces existantes et que des d&eacute;finitions diff&eacute;rentes peuvent limiter la comparabilit&eacute; entre les pays.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: Questionnaire Assurance Qualit&eacute; Annuelle (AQA) de l&rsquo;OCDE</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 26 février 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=05a6b727-0a8d-4ee1-a9b6-e5de6766a2b3"><span style='font-family:"Arial",sans-serif;'>Documentation de la base de donn&eacute;es</span></a></span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'><br></div> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED MEASURE=TOTAL_S,ACTIVITY=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Waste - Waste by sector: generation, recovery and recycling Déchets - Déchets par secteur: production, récupération et recyclage <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset presents data on waste by economic sector, using the major divisions of the International Standard Industrial Classification (ISIC), revision 4.&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: (i) OECD State of the Environment questionnaire on waste for non-EU countries; (ii) EU Waste Framework Directive for EU-countries (available in Eurostat database <a href="https://ec.europa.eu/eurostat/web/environment/database">https://ec.europa.eu/eurostat/web/environment/database</a>); and (iii) UNSD, Country Files from the UNSD/UNEP data collection on environment statistics (available at: <a href="https://unstats.un.org/unsd/envstats/country_files">https://unstats.un.org/unsd/envstats/country_files</a>) for non-OECD countries.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: December 6, 2023</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;padding:0cm;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=34539455-cd8a-4a41-9695-042cd4ce7c0c"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></p> </div> Cette base de données présente les quantités de déchets produits par les différents secteurs économiques, selon les grandes catégories de la Classification Internationale Type par Industrie (CITI), révision 4. Source(s) de données : (i) questionnaire de l'OCDE sur l'état de l'environnement concernant pour les pays non membres de l'UE ; (ii) directive-cadre de l'UE sur les déchets pour les pays de l'UE (disponible dans la base de données d'Eurostat https://ec.europa.eu/eurostat/web/environment/database) ; et (iii) UNSD, Country Files from the UNSD/UNEP data collection on environment statistics (disponible à l'adresse suivante : https://unstats.un.org/unsd/envstats/country_files) pour les pays non membres de l'OCDE. Contact : ENV.Stat@oecd.org Date de publication de la base de données : 6 décembre 2023 Documentation de la base de données NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,MATERIAL LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=GEN,MATERIAL=PLASTIC DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Waste - Selected waste streams: generation, recovery and recycling Déchets - Flux de déchets sélectionnés: production, récupération et recyclage <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset presents the generation, recovery and recycling of selected waste streams. It includes all waste generated, i.e. household and other municipal waste, waste handled by the scrapping industry and other waste. Waste collected for recycling by private sources should be included. Waste material undergoing internal recycling, i.e. directly at the place of generation, is excluded.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: (i) OECD State of the environment questionnaire for non-European countries and (ii) Eurostat database (<a href="https://ec.europa.eu/eurostat/web/environment/database">https://ec.europa.eu/eurostat/web/environment/database</a>) for EU countries.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><strong><span style='font-size:15px;font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-size:15px;font-family:"Arial",sans-serif;'>: May 6, 2024</span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'><br></div> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es pr&eacute;sente la production, la valorisation et le recyclage de certains flux de d&eacute;chets. Il comprend tous les d&eacute;chets produits, c&apos;est-&agrave;-dire les d&eacute;chets m&eacute;nagers et autres d&eacute;chets municipaux, les d&eacute;chets trait&eacute;s par l&apos;industrie de la ferraille et les autres d&eacute;chets. Les d&eacute;chets collect&eacute;s pour le recyclage par des sources priv&eacute;es doivent &ecirc;tre inclus. Les d&eacute;chets faisant l&apos;objet d&apos;un recyclage interne, c&apos;est-&agrave;-dire directement sur le lieu de production, sont exclus.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: (i) Questionnaire OCDE sur l&rsquo;&rsquo;etat de l&rsquo;environnement pour les pays non-europ&eacute;ens et (ii) base de donn&eacute;es Eurostat (</span><span style='font-family:"Arial",sans-serif;'><a href="https://ec.europa.eu/eurostat/web/environment/database">https://ec.europa.eu/eurostat/web/environment/database</a></span><span style='font-family:"Arial",sans-serif;'>) pour les pays europ&eacute;ens.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><strong><span style='font-size:15px;font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-size:15px;font-family:"Arial",sans-serif;'>&nbsp;: 6 Mai 2024</span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'><br></div> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Main indicators, Government at a glance indicators, 2023 edition Principaux indicateurs - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_ROW REF_AREA LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT 1.0009 SEARCH_WEIGHT Green and Gender budgeting indexes - Government at a glance indicators, 2023 edition Indices de budgétisation verte et sensible au genre - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to green budgeting and gender budgeting. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true MEASURE,SECTOR,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 1.0005 SEARCH_WEIGHT Public employment and representation - Government at a glance indicators, 2023 edition Emploi public et représentation - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to the employment of public employees and its representation. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true MEASURE,SECTOR,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 1.0005 SEARCH_WEIGHT Public employment and representation - Government at a glance indicators, Yearly updates Emploi public et représentation - Indicateurs du Panorama des administrations publiques, Mises à jour annuelles This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to the employment of public employees and its representation. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_ROW REF_AREA LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT 1.0007 SEARCH_WEIGHT Infrastructure planning and delivery indexes - Government at a glance indicators, 2023 edition Indices de planification et de mise en service des infrastructures - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to governance of infrastructure for stakeholder participation, regulatory framework and permitting procedures, management of threats to integrity, and environmentally sustainable and climate-resilient infrastructure. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0006 SEARCH_WEIGHT Public finance main indicators - Government at a glance, 2023 edition Principaux indicateurs des finances publiques - Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to the public finance under the System of national accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0006 SEARCH_WEIGHT Public finance main indicators - Government at a glance, Yearly updates Principaux indicateurs des finances publiques - Indicateurs du Panorama des administrations publiques, Mises à jour annuelles This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to the public finance under the System of national accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true MEASURE=GPROC,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,MEASURE=GPROC DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0008 SEARCH_WEIGHT Size of public procurement - Government at a glance indicators, 2023 edition Poids des marchés publics - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to the public procurement spending as estimated under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true MEASURE=GPROC,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,MEASURE=GPROC DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0008 SEARCH_WEIGHT Size of public procurement - Government at a glance indicators, Yearly updates Poids des marchés publics - Indicateurs du Panorama des administrations publiques, Mises à jour annuelles This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to the public procurement spending as estimated under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Main indicators, Government at a glance indicators, Yearly updates Principaux indicateurs - Indicateurs du Panorama des administrations publiques, Mises à jour annuelles This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true EXPENDITURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,UNIT_MEASURE=PT_B1GQ+PT_OTE_S13+PT_GPROC_S13+PT_OTE_S13_FNC+PT_P5L_S13 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0003 SEARCH_WEIGHT Public finance and procurement by function - Government at a glance indicators, 2023 edition Finances publiques et marchés publics par fonction - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to expenditures, investment and procurement spending disaggregated according to the Classification of the Functions of Government (COFOG) under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true EXPENDITURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,UNIT_MEASURE=PT_B1GQ+PT_OTE_S13+PT_GPROC_S13+PT_OTE_S13_FNC+PT_P5L_S13 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0003 SEARCH_WEIGHT Public finance by function - Government at a glance indicators, Yearly updates Finances publiques par fonction - Indicateurs du Panorama des administrations publiques, Mises à jour annuelles This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to expenditures disaggregated according to the Classification of the Functions of Government (COFOG) under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true MEASURE,INSTR_ASSET LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0004 SEARCH_WEIGHT Government debt by financial instrument - Government at a glance indicators, 2023 edition Dette publique par instrument financier - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to government gross debt by financial instruments under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true MEASURE,INSTR_ASSET LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0004 SEARCH_WEIGHT Government debt by financial instrument - Government at a glance indicators, Yearly updates Dette publique par instrument financier - Indicateurs du Panorama des administrations publiques, Mises à jour annuelles This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to government gross debt by financial instruments under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true SECTOR LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,UNIT_MEASURE=PT_OTE_S13+PT_OTR_S13+PT_GPROC_S13+PT_P5L_S13 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00015 SEARCH_WEIGHT Public finance, procurement and employment by level of government - Government at a glance indicators, 2023 edition Finances publiques, marchés publics et emploi selon les niveaux d’administration - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to public finance, size of procurement and employment by levels of government. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true SECTOR LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,UNIT_MEASURE=PT_OTE_S13+PT_OTR_S13+PT_GPROC_S13+PT_P5L_S13 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00015 SEARCH_WEIGHT Public finance, procurement and employment by level of government - Government at a glance indicators, Yearly updates Finances publiques, marchés publics et emploi selon les niveaux d’administration - Indicateurs du Panorama des administrations publiques, Mises à jour annuelles This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to public finance, size of procurement and employment by levels of government. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW MEASURE,REGULATORY_CATEGORY,UNIT_MEASURE LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2014 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS REGULATORY_CATEGORY:OECD.GOV.GIP:HCL_REGULATORY_CATEGORY(1.0).H HIER_CONTEXT 1.001 SEARCH_WEIGHT Stakeholder engagement, RIA, and Ex post evaluation indexes - Government at a glance indicators, 2023 edition Indices d’association des parties prenantes, d'AIR et d’évaluation ex post - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to regulatory governance for stakeholder engagement, regulatory impact assessment and <em>ex post</em> evaluation. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,MEASURE,SCALE,UNIT_MEASURE LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS 1.0011 SEARCH_WEIGHT Governance of the policy cycle - Government at a glance indicators, 2023 edition Gouvernance du cycle de l’action publique - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to openness and inclusiveness, undue influence, and rule of law. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true MEASURE,SCALE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED REF_AREA=AUT DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS 1.0012 SEARCH_WEIGHT Satisfaction with public services - Government at a glance indicators, 2023 edition Satisfaction à l’égard des services publics - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to satisfaction with public services, and accessibility, responsiveness and quality administrative services, healthcare, education and justice. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SCALE LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS 1.0013 SEARCH_WEIGHT Trust and democratic governance - Government at a glance indicators, 2023 edition Confiance et gouvernance démocratique - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to levels trust in public institutions, drivers of trust in civil service, and political efficacy. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Trust, Satisfaction with public services and governance of the policy cycle, 2023 edition Confiance, Satisfaction à l’égard des services publics et gouvernance du cycle de l’action publique - Indicateurs quantitatifs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true TRANSACTION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,UNIT_MEASURE=PT_B1GQ+PT_TAX_REV+PT_OTE_S13+PT_OTR_S13+PT_PCOS_S13+PT_EXP_OUT_S13 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0002 SEARCH_WEIGHT Public finance by economic transaction - Government at a glance indicators, 2023 edition Finances publiques par opération économique - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to government revenue and expenditure disaggregation by economic transactions under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true TRANSACTION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,UNIT_MEASURE=PT_B1GQ+PT_TAX_REV+PT_OTE_S13+PT_OTR_S13+PT_PCOS_S13+PT_EXP_OUT_S13 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0002 SEARCH_WEIGHT Public finance by economic transaction - Government at a glance indicators, Yearly updates Finances publiques par opération économique - Indicateurs du Panorama des administrations publiques, Mises à jour annuelles This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to government revenue and expenditure disaggregation by economic transactions under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD,REF_AREA LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED REF_AREA=OECD+CAN+FRA+DEU+ITA+JPN+GBR+USA DEFAULT EXT_RESOURCE Unfiltered Table in Excel (FMR)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e108243f-782a-428e-9ade-04614b44bf99 Unfiltered Table in Excel (FMR)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e108243f-782a-428e-9ade-04614b44bf99 18000 MAX_TABLE_DATA Financial Management and Reporting - 2022 Comptabilité et reporting – 2022 <div class="col-sm-12"> <p>The OECD Database on Financial Management and Reporting contains the results of the 2022 OECD Survey on Financial Management and Reporting. The database provides practitioners, academics and civil society with an overview of financial management and reporting practices across OECD countries, including information on Financial Management Information Systems (FMIS) design and digital financial reporting. </p> <h4>About this questionnaire</h4> <p>The content of the 2022 database was collected using an online <a href="https://webfs.oecd.org/governmentataglance/Budgeting/2022%20OECD%20Survey%20on%20Financial%20Management%20and%20Reporting.pdf" target="_blank">questionnaire</a> and a <a href="https://webfs.oecd.org/governmentataglance/Budgeting/2022%20OECD%20Survey%20on%20Financial%20Management%20and%20Reporting_Glossary.pdf" target="_blank">glossary</a> was also provided. </p> <p>The 2022 dataset provides information on the following topics:</p> <p><ul> <li>Section 1 - Financial management and reporting practices (questions 1 to 9)</li> <li>Section 2 - Financial Management Information System(s) (FMIS) design (questions 10 to 27)</li> <li>Section 3 - Digital financial reporting initiatives (questions 28 to 43)</li> </ul></p> <p>The 2022 database comprises responses from 34 OECD countries¹ and the data refers only to central/federal government practices as of 30 September 2022. Respondents were predominantly officials within accounting and finance departments. The content of the database draws heavily upon self-reporting from governments representing the country’s own assessment of current practices and procedures.</p> <p>Preliminary results were presented at the <a href="https://www.oecd.org/gov/budgeting/Agenda-FMR-WP-meeting-2023.pdf" target="_blank">23rd Annual Meeting of the Working Party on Financial Management and Reporting in March 2023</a>. </p> ¹For 2022, data for Colombia, Israel, Mexico and Slovenia are not available.</br> </div> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD,REF_AREA LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED REF_AREA=OECD+CAN+FRA+DEU+ITA+JPN+GBR+USA DEFAULT EXT_RESOURCE Unfiltered Table in Excel (GENBUD)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=907721f4-a05e-4368-8a8f-834f91f7520c Unfiltered Table in Excel (GENBUD)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=907721f4-a05e-4368-8a8f-834f91f7520c 18000 MAX_TABLE_DATA Gender Budgeting - 2022 Budgétisation sensible au genre - 2022 <div class="col-sm-12"> <p>The OECD Database on Gender Budgeting contains the results of the 2022 OECD Survey on Gender Budgeting. The database provides budget practitioners, academics and civil society with an overview of gender budgeting practices from across OECD countries. </p> <h4>About this questionnaire</h4> <p>The content of the 2022 database was collected using an online <a href="https://webfs.oecd.org/governmentataglance/Budgeting/2022%20OECD%20Survey%20on%20Gender%20Budgeting.pdf" target="_blank">questionnaire</a> and a <a href="https://webfs.oecd.org/governmentataglance/Budgeting/2022%20OECD%20Survey%20on%20Gender%20Budgeting_Glossary.pdf" target="_blank">glossary</a> was also provided. </p> <p>The 2022 dataset provides information on the following topics:</p> <p><ul> <li>PART I - Context (questions 1 to 4)</li> <li>PART II - Institutional framework (questions 5 to 8)</li> <li>PART III - Approaches and tools (questions 9 to 12)</li> <li>PART III - Accountability and transparency (questions 13 to 17)</li> <li>PART III - Enabling environment (questions 18 to 20)</li> <li>PART IV - Impact (questions 21 to 25)</li> </ul></p> <p>A composite indicator was developed, encompassing the five parts of the survey (available <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=Design&df[id]=DSD_GOV%40DF_GOV_BP_2023&df[ag]=OECD.GOV.GIP&df[vs]=1.0&av=true&pd=%2C&dq=A......&ly[rw]=MEASURE&ly[cl]=REF_AREA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS" target="_blank">here</a>). </p> <p>The 2022 database comprises responses from all 38 OECD countries and the data refers only to central/federal government practices as of 1 March 2022. Respondents were predominantly budget officials within central budget authorities. The content of the database draws heavily upon self-reporting from governments representing the country’s own assessment of current practices and procedures. </p> <p>The report <a href="https://doi.org/10.1787/647d546b-en" target="_blank">Gender Budgeting in OECD Countries 2023</a> provides an overview of the 2022 survey results and also presents the 2022 OECD Gender Budgeting Index methodology. </p> </div> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD,REF_AREA LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED REF_AREA=OECD+CAN+FRA+DEU+ITA+JPN+GBR+USA DEFAULT EXT_RESOURCE Unfiltered Table in Excel (GREENBUD)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1574dbba-6cea-4b11-b50f-348d258fb620 Unfiltered Table in Excel (GREENBUD)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1574dbba-6cea-4b11-b50f-348d258fb620 18000 MAX_TABLE_DATA Green Budgeting - 2022 Budgétisation verte - 2022 <div class="col-sm-12"> <p>The OECD Database on Green Budgeting contains the results of the 2022 OECD Survey on Green Budgeting. The database provides budget practitioners, academics and civil society with an overview of green budgeting practices from across OECD countries. </p> <h4>About this questionnaire</h4> <p>The content of the 2022 database was collected using an online <a href="https://webfs.oecd.org/governmentataglance/Budgeting/2022%20OECD%20Survey%20on%20Green%20Budgeting.pdf" target="_blank">questionnaire</a> and a <a href="https://webfs.oecd.org/governmentataglance/Budgeting/2022%20OECD%20Survey%20on%20Green%20Budgeting_Glossary.pdf" target="_blank">glossary</a> was also provided. </p> <p>The 2022 dataset provides information on practices across the four building blocks of the 2020 OECD Green Budgeting Framework:</p> <p><ul> <li>Section 1 - Context (questions 1 to 4)</li> <li>Section 2 - Institutional arrangements (questions 5 to 15)</li> <li>Section 3 - Methods and tools (questions 16 to 27)</li> <li>Section 4 - Accountability and transparency (questions 28 to 40)</li> <li>Section 5 - Enabling environment in budgeting (questions 41 to 46)</li> </ul></p> <p>A composite indicator was developed, encompassing the four building blocks of the <a href="https://www.oecd.org/environment/green-budgeting/OECD-Green-Budgeting-Framework-Highlights.pdf" target="_blank">2020 OECD Green Budgeting Framework</a> (available <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=Design&df[id]=DSD_GOV%40DF_GOV_BP_2023&df[ag]=OECD.GOV.GIP&df[vs]=1.0&av=true&pd=%2C&dq=A......&ly[rw]=MEASURE&ly[cl]=REF_AREA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS" target="_blank">here</a>). </p> <p>The 2022 database comprises responses from 36 OECD countries¹ and the data refers only to central/federal government practices as of 30 June 2022. Respondents were predominantly budget officials within central budget authorities. The content of the database draws heavily upon self-reporting from governments representing the country’s own assessment of current practices and procedures. </p> <p>Preliminary results were presented at the <a href="https://www.oecd.org/governance/budgeting/green-budgeting-meeting-3-november-2022.htm" target="_blank">Meeting of the OECD Paris Collaborative on Green Budgeting in November 2022</a>. </p> ¹For 2022, data for Costa Rica and Slovenia are not available.</br> </div> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD,REF_AREA LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED REF_AREA=OECD+CAN+FRA+DEU+ITA+JPN+GBR+USA DEFAULT EXT_RESOURCE Unfiltered Table in Excel (INFRA_PH_2)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c572f830-3aa3-4037-a977-7a45df01df9f Unfiltered Table in Excel (INFRA_PH_2)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c572f830-3aa3-4037-a977-7a45df01df9f 20000 MAX_TABLE_DATA Governance of Infrastructure (Phase 2) Gouvernance des infrastructures (phase 2) <p>The OECD dataset on the Governance of Infrastructure (Phase 2) contains the results of the 2022 OECD Survey on the Governance of Infrastructure. The database provides users with a unique resource on the governance of infrastructure in OECD countries. More specifically, it provides data on a set of governance dimensions, including stakeholder participation, regulatory framework and permitting procedures, management of threats to integrity, and environmental sustainability and climate resilience.</p> <h4>About this questionnaire</h4><p>The content of the database was collected using an online <a href="https://webfs.oecd.org/governmentataglance/Governance%20of%20infrastructure/2022%20OECD%20Survey%20on%20the%20Governance%20of%20Infrastructure.pdf" target="_blank">questionnaire</a> and a <a href="https://webfs.oecd.org/governmentataglance/Governance%20of%20infrastructure/2022%20OECD%20Survey%20on%20the%20Governance%20of%20Infrastructure_Glossary.pdf" target="_blank">glossary</a> was also provided. The 2022 OECD Survey on the Governance of Infrastructure was conducted in May-October 2022 by the Infrastructure and Public Procurement Division of the OECD Directorate for Public Governance. It covers the entire infrastructure life cycle mapping out governments’ decision making processes, tools and norms of interaction in the areas of stakeholder participation, regulation and permitting, integrity, evidence-informed decision making, sustainability and climate resilience.The 2022 Survey covers four of the ten pillars set out in the <a href="https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0460" target="_blank">OECD Recommendation on the Governance of Infrastructure</a> adopted by the OECD Executive Council in 2020. Additionally, it covers the cross-cutting theme of environmental sustainability and climate resilience. The first three pillars of the OECD Recommendation (strategic planning; fiscal sustainability, affordability and value for money; and public procurement) were covered in the 2020 OECD Survey on the Governance of Infrastructure (Phase 1).The dataset for the 2020 Survey is available <a href="https://webfs.oecd.org/governmentataglance/Governance%20of%20infrastructure/2020%20Governance%20of%20Infrastructure.zip" target="_blank">here.</a></p><p>The goal of the 2022 Survey was to gather data and provide an improved understanding of current practices and procedures in infrastructure governance in OECD countries. The data collected allows for international comparative analysis, benchmarking of best practices, and monitoring of change in infrastructure governance practices over time in the following dimensions:</p><p><strong>Part I: Ensure transparent, systematic and effective stakeholder participation<br/>Part II: Promote a coherent, predictable, and efficient regulatory framework<br/>Part III: Implement a whole of government approach to manage threats to integrity<br/>Part IV: Promote evidence-informed decision making<br/>Part V: Deliver environmentally sustainable and climate-resilient infrastructure</strong><br/></p><p>A composite indicator was developed for each of the five parts of the survey (available <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=Design&df[id]=DSD_GOV%40DF_GOV_INFPD_2023&df[ag]=OECD.GOV.GIP&df[vs]=1.0&av=true&pd=%2C&dq=A......&ly[rw]=MEASURE&ly[cl]=REF_AREA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS" target="_blank">here</a>). This database covers parts I, II, III and V of the survey. It comprises 34 OECD countries.The data draw heavily upon self-reporting from governments representing the country’s own assessment of current practices and procedures. Respondents are predominantly senior officials in the central/federal ministries of infrastructure, public works and finance, as well as in infrastructure agencies and other line ministries. The data refers mostly to central/federal governments and excludes the subnational level.</p> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD,REF_AREA LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED REF_AREA=CAN+FRA+DEU+ITA+JPN+GBR+USA DEFAULT EXT_RESOURCE Unfiltered Table in Excel (PE)|https://webfs.oecd.org/governmentataglance/Budgeting/Unfiltered%20Table%20in%20Excel%20(PE).xlsx Unfiltered Table in Excel (PE)|https://webfs.oecd.org/governmentataglance/Budgeting/Unfiltered%20Table%20in%20Excel%20(PE).xlsx Public policy evaluation - 2023 Évaluation des politiques publiques - 2023 <p>The 2023 OECD Survey on Public Policy Evaluation provides practitioners, academics and civil society with an overview of evaluation practices across OECD countries, including information on institutionalisation, quality and impact. </p> <h4>About this questionnaire</h4> <p>The content of the 2023 database was collected using an online <a href="https://webfs.oecd.org/governmentataglance/Budgeting/2023%20OECD%20Policy%20Evaluation%20Survey.pdf" target="_blank">questionnaire</a> and a <a href="https://webfs.oecd.org/governmentataglance/Budgeting/2023%20OECD%20Public%20Policy%20Evaluation%20Survey%20Glossary.pdf" target="_blank">glossary</a> was also provided </p> <p>The 2023 dataset provides information on the following topics:</p> <p><ul> <li>Section 1 - Institutionalising policy evaluation from a whole of government perspective (questions 4 to 10)</li> <li>Section 2 - Promoting the quality of public policy evaluations (questions 11 to 27)</li> <li>Section 3 - Conducting policy evaluations that impact decision-making (questions 28 to 36) </li> </ul></p> <p>The 2023 database comprises responses from 31 OECD countries¹ and the data refers only to central/federal government practices as of 1 May 2023. Respondents were predominantly officials with evaluation coordination functions. The content of the database draws heavily upon self-reporting from governments representing the country’s own assessment of current practices and procedures.</p> <p>Preliminary results were presented at the 5th Annual Meeting of the Evaluation Expert group on December 2023</a>. </p> ¹For 2023, data for Finland, Germany, Israel, Korea, Slovenia, Slovak Republic and Türkiye are not available.</br> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD,REF_AREA LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED REF_AREA=CAN+FRA+DEU+ITA+JPN+GBR DEFAULT EXT_RESOURCE Unfiltered Table in Excel (PSLC_2022)|https://webfs.oecd.org/governmentataglance/Public%20employment%20and%20management/Unfiltered%20Table%20in%20Excel%20(PSLC_2022).xlsx Unfiltered Table in Excel (PSLC_2022)|https://webfs.oecd.org/governmentataglance/Public%20employment%20and%20management/Unfiltered%20Table%20in%20Excel%20(PSLC_2022).xlsx Public service leadership and capability - 2022 Leadership et les aptitudes de la fonction publique - 2022 <p>The 2022 OECD Survey on Public Service Leadership and Capability provides practitioners, academics and civil society with an overview of central and federal administrations’ practices across OECD member countries on mobility, flexible working arrangements, and learning and development. </p> <h4>About this questionnaire</h4> <p>The content of the 2022 database was collected using an online <a href="https://webfs.oecd.org/governmentataglance/Public%20employment%20and%20management/2022%20OECD%20Public%20Service%20Leadership%20and%20Capability%20Survey%20(Modules%204%20and%205).pdf" target="_blank">questionnaire</a> and a <a href="https://webfs.oecd.org/governmentataglance/Public%20employment%20and%20management/2022%20OECD%20Public%20Service%20Leadership%20and%20Capability%20Survey,%20glossary%20of%20terms%20used.pdf" target="_blank">glossary</a> was also provided. </p> <p>The 2022 dataset provides information on the following topics:</p> <p><ul> <li> Module 4 – Mobility and flexible working arrangements</li> <li> Module 5 – Learning and development</li> </ul></p> <p> The 2022 database comprises responses from 37 OECD countries¹ and the data refers only to central/federal government practices as of 1 January 2022. Respondents were predominantly officials from central human resource management administrations. The content of the database draws heavily upon self-reporting from governments representing the country’s own assessment of current practices and procedures. </p> <p> Results were published in Public Employment and Management 2023: Towards a More Flexible Public Service.</a>. </p> ¹ For 2022, data for the United States are not available.</br> NonProductionDataflow true MEASURE,REGULATORY_CATEGORY LAYOUT_ROW REF_AREA,TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2014,REF_AREA=AUS DEFAULT REGULATORY_CATEGORY:OECD.GOV.GIP:HCL_REGULATORY_CATEGORY(1.0).H HIER_CONTEXT EXT_RESOURCE Unfiltered Table in Excel (REG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d6a2f2b0-332d-45a7-a1e3-8f8e91bcc2d7 Unfiltered Table in Excel (REG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d6a2f2b0-332d-45a7-a1e3-8f8e91bcc2d7 18000 MAX_TABLE_DATA Regulatory governance Gouvernance réglementaire <div class="col-sm-12"> <p>The OECD Dataset on the Indicators of Regulatory Policy and Governance (iREG) presents up-to-date evidence of regulatory policy and governance practices of the OECD member countries, the European Union as well as the five EU Member States that are not OECD member countries. It focuses on practices as described in the 2012 Recommendation of the Council on Regulatory Policy and Governance (Recommendation), the first international instrument to address regulatory policy as a whole-of-government activity. The data covers in detail three principles of the 2012 Recommendation: stakeholder engagement, regulatory impact assessment (RIA) and <em>ex post</em> evaluation. For each of these areas, the indicators present information in four categories: <ol> <li>Systematic adoption records formal requirements and how often these requirements are conducted in practice; </li> <li>Methodology gathers information on the methods used in each area, e.g. the type of impacts assessed or how frequently different forms of consultation are used;</li> <li>Oversight and quality control records the role of oversight bodies and publically available evaluations; and</li> <li>Transparency records information that relates to the principles of open government, e.g. whether government decisions are made publically available.</li> </ol> </p> <h4>About this questionnaire</h4> <p>The content of the database was collected through the 2014, 2017 and 2021 Regulatory Indicators surveys (more information can be found <a href="http://www.oecd.org/gov/regulatory-policy/indicators-regulatory-policy-and-governance.htm">here</a>). A composite indicator was developed, encompassing the three principles of the Recommendation (available <a href="https://data-explorer.oecd.org/vis?lc=en&fs[0]=Topic%2C1%7CGovernment%23GOV%23%7CRegulation%23GOV_REG%23&pg=0&fc=Topic&bp=true&snb=1&vw=ov&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_GOV_REG%40DF_GOV_REG_2023&df[ag]=OECD.GOV.GIP&df[vs]=1.0&pd=2014%2C&dq=A.......&ly[rw]=REF_AREA%2CTIME_PERIOD&ly[cl]=MEASURE%2CREGULATORY_CATEGORY&to[TIME_PERIOD]=false">here</a>). The Regulatory Policy division of the OECD Directorate for Public Governance conducted these surveys in the second semester of 2014, 2017 and 2020 respectively. Responses were provided by delegates to the OECD Regulatory Policy Committee (RPC) and central government officials. The data covers practices on the national level that apply to all policy areas. The data for stakeholder engagement and RIA focus on the processes of developing regulations (both primary and subordinate) that are carried out by the executive branch of the national government, the data for <em>ex post</em> evaluation covers all national regulations regardless of whether they were initiated by parliament or the executive. The survey questionnaire has been developed in close co-operation with RPC delegates and members of the OECD Steering Group on Measuring Regulatory Performance. Survey answers underwent a verification process carried out by the OECD Secretariat in co-operation with delegates to the RPC in order to enhance data quality and ensure comparability of answers across countries and over time. </p> <p>Results were presented in the 2015, 2018 and <a href="https://www.oecd.org/publications/oecd-regulatory-policy-outlook-2021-38b0fdb1-en.htm">2021 OECD Regulatory Policy Outlook</a>, as well as in the <a href="https://www.oecd-ilibrary.org/governance/government-at-a-glance-2023_3d5c5d31-en">2023 OECD Government at a Glance</a> publication. The data for all EU Member States were presented in the <a href="https://www.oecd-ilibrary.org/governance/better-regulation-practices-across-the-european-union_9789264311732-en">2019 Better Regulation Practices across the European Union</a> report. </p> </div> NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW MEASURE,REGULATORY_CATEGORY,UNIT_MEASURE LAYOUT_COLUMN DD_DIM=_T DRILLDOWN MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS DD_DIM,DD_ID,OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2014,DD_DIM=_T DEFAULT REGULATORY_CATEGORY:OECD.GOV.GIP:HCL_REGULATORY_CATEGORY(1.0).H HIER_CONTEXT Regulatory governance (with microdata) Gouvernance réglementaire (avec microdonnées) <div class="col-sm-12"> <p>The OECD Dataset on the Indicators of Regulatory Policy and Governance (iREG) presents up-to-date evidence of regulatory policy and governance practices of the OECD member countries, the European Union as well as the five EU Member States that are not OECD member countries. It focuses on practices as described in the 2012 Recommendation of the Council on Regulatory Policy and Governance (Recommendation), the first international instrument to address regulatory policy as a whole-of-government activity. The data covers in detail three principles of the 2012 Recommendation: stakeholder engagement, regulatory impact assessment (RIA) and <em>ex post</em> evaluation. For each of these areas, the indicators present information in four categories: <ol> <li>Systematic adoption records formal requirements and how often these requirements are conducted in practice; </li> <li>Methodology gathers information on the methods used in each area, e.g. the type of impacts assessed or how frequently different forms of consultation are used;</li> <li>Oversight and quality control records the role of oversight bodies and publically available evaluations; and</li> <li>Transparency records information that relates to the principles of open government, e.g. whether government decisions are made publically available.</li> </ol> </p> <h4>About this questionnaire</h4> <p>The content of the database was collected through the 2014, 2017 and 2021 Regulatory Indicators surveys (more information can be found <a href="http://www.oecd.org/gov/regulatory-policy/indicators-regulatory-policy-and-governance.htm">here</a>). The Regulatory Policy division of the OECD Directorate for Public Governance conducted these surveys in the second semester of 2014, 2017 and 2020 respectively. Responses were provided by delegates to the OECD Regulatory Policy Committee (RPC) and central government officials. The data covers practices on the national level that apply to all policy areas. The data for stakeholder engagement and RIA focus on the processes of developing regulations (both primary and subordinate) that are carried out by the executive branch of the national government, the data for <em>ex post</em> evaluation covers all national regulations regardless of whether they were initiated by parliament or the executive. The survey questionnaire has been developed in close co-operation with RPC delegates and members of the OECD Steering Group on Measuring Regulatory Performance. Survey answers underwent a verification process carried out by the OECD Secretariat in co-operation with delegates to the RPC in order to enhance data quality and ensure comparability of answers across countries and over time. </p> <p>Results were presented in the 2015, 2018 and <a href="https://www.oecd.org/publications/oecd-regulatory-policy-outlook-2021-38b0fdb1-en.htm">2021 OECD Regulatory Policy Outlook</a>, as well as in the <a href="https://www.oecd-ilibrary.org/governance/government-at-a-glance-2023_3d5c5d31-en">2023 OECD Government at a Glance</a> publication. The data for all EU Member States were presented in the <a href="https://www.oecd-ilibrary.org/governance/better-regulation-practices-across-the-european-union_9789264311732-en">2019 Better Regulation Practices across the European Union</a> report. </p> </div> NonProductionDataflow true TIME_PERIOD LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION DD_DIM DRILLDOWN REF_AREA,CRITERIA,OBS_VALUE DRILLDOWN_CONCEPTS DD_DIM,DD_ID,OBS_STATUS=A,UNIT_MULT=0,FREQ=A,CRITERIA=_T NOT_DISPLAYED DD_DIM=_T,TIME_PERIOD_START=2015,TIME_PERIOD_END=2025,REF_AREA=CHL+IRL+MEX+NLD+KOR+GRC+CAN+CRI+ESP+TUR+DNK+LUX+PRT+AUT+CHE+ISR+LTU+COL+FRA+LVA+NOR+USA+AUS+SWE+ISL+ITA+NZL+SVN+BEL+JPN+POL+CZE+GBR+EST+DEU+HUN+FIN+SVK DEFAULT 14000 MAX_TABLE_DATA Public Integrity Indicators Les indicateurs d'intégrité publique <p>Following the adoption of the <a href="https://www.oecd.org/gov/ethics/recommendation-public-integrity/">OECD Council Recommendation on Public Integrity</a> in 2017, the Public Governance Committee (PGC), via its Working Party of Senior Public Integrity Officials (SPIO) subsidiary body, developed the <a href="https://oecd-public-integrity-indicators.org/">OECD Public Integrity Indicators</a> (PII) to measure the implementation of the OECD Council Recommendation on Public Integrity. The PII are complementary to the <a href="https://www.oecd.org/fr/corruption/oecd-public-integrity-handbook-ac8ed8e8-en.htm\">OECD Public Integrity Handbook</a> and the <a href="https://www.oecd.org/governance/ethics/public-integrity-maturity-models.htm\">OECD Public Integrity Maturity Models</a>.</p><p>The OECD Public Integrity Indicators (PII) measure the quality and effectiveness of public integrity systems across six areas:</p><ul><li>Quality of Strategic Framework (data available)</li><li>Accountability of Public Policymaking &ndash; covering conflict-of-interest, political finance, lobbying, public information, open government, and public consultation (data available)</li><li>Effectiveness of Internal Control and Risk Management (data available)</li><li>Integrity and Effectiveness of the Justice System (to be launched in 2024)</li><li>Strength of External Oversight and Control (to be launched in 2024)</li><li>Meritocracy of the Public Sector (to be launched in 2025)</li></ul><p>The OECD Public Integrity Indicators provide cross-country comparative data to help policy makers and practitioners strengthen the resilience of public integrity systems towards corruption risks and prevent the mismanagement and waste of public funds. The PIIs measure the strength of standard regulatory safeguards (<em>de jure</em>) and implementation of these safeguards in practice (<em>de facto</em>). The OECD Secretariat collaborates closely with national administrations to obtain primary data collected directly from a wide range of actors across the executive, legislative and judiciary branches.</p><p>Data is collected for all 38 OECD member states (Australia, Austria, Belgium, Canada, Chile, Colombia, Costa Rica, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Japan, Korea (Republic of), Latvia, Lithuania, Luxembourg, Mexico, the Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Slovenia, Spain, Sweden, Switzerland, T&uuml;rkiye, the United Kingdom, and the United States), two adherents to the OECD Recommendation on Public Integrity (Argentina and Peru), and one OECD key partner (Brazil).</p><p>Data is presented for each area as a set of indicators (listed under &ldquo;Measure&rdquo;), which can be further broken down into criteria. Indicator values are calculated by counting the number of criteria fulfilled (based on OECD and other international standards) and expressing as a percentage of the total. Criteria values are binary, with a status of fulfilled represented as a 1 and a status of not fulfilled represented as a 0. Some outcome-level indicators consist of numerical rates calculated based on primary data values, either from administrative data sources (public registries) or surveys.</p><p>&ldquo;Data not available&rdquo; indicates that no data exists. &ldquo;Data not provided&rdquo; represents data that was not provided during the data collection process and &ldquo;Data pending&rdquo; represents data that is still being collected and/or assessed. &ldquo;Not tracking&rdquo; is used to indicate when administrations do not collate existing data into a central statistical measure.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z,PRICE=_Z,UNIT_MULT=0 NOT_DISPLAYED MEASURE=EXP_TRANSPORT DEFAULT Transport economic and social indicators Indicateurs économiques et sociaux des transports The dataset includes performance indicators linked to the economic and social aspects of transport. L'ensemble de données comprend des indicateurs de performance liés aux aspects économiques et sociaux du transport. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSPORT_MODE,COMBINED_MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z,PRICE=_Z,UNIT_MULT=0 NOT_DISPLAYED MEASURE=EMISSION,TRANSPORT_MODE=ROAD DEFAULT COMBINED_MEASURE:TRANSPORT_MODE,MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Transport energy and environment indicators Indicateurs énergétiques et environnementaux des transports The dataset includes performance indicators linked to the energy and environment aspects of transport. L'ensemble de données comprend des indicateurs de performance liés aux aspects énergétiques et environnementaux des transports. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMBINED_MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z,PRICE=_Z,UNIT_MULT=0 NOT_DISPLAYED MEASURE=VEHICLES,TRANSPORT_MODE=ROAD DEFAULT COMBINED_MEASURE:TRANSPORT_MODE,MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure Transport equipment indicators Indicateurs du matériel des transports The dataset includes performance indicators linked to transport equipment. L'ensemble de données comprend des indicateurs de performance liés au matériel de transport. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSPORT_MODE,COMBINED_MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z,PRICE=_Z,UNIT_MULT=0 NOT_DISPLAYED MEASURE=INFRASTUCTURE,TRANSPORT_MODE=ROAD DEFAULT COMBINED_MEASURE:TRANSPORT_MODE,MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure Transport infrastructure indicators Indicateurs d'infrastructure des transports The dataset includes performance indicators linked to transport infrastructure. L'ensemble de données comprend des indicateurs de performance liés aux infrastructures de transport. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMBINED_MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z,PRICE=_Z,UNIT_MULT=0 NOT_DISPLAYED MEASURE=FREIGHT,TRANSPORT_MODE=ROAD DEFAULT COMBINED_MEASURE:TRANSPORT_MODE,MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure Transport activity indicators Indicateurs d'activité des transports The dataset includes performance indicators linked to transport measurement. L'ensemble de données comprend des indicateurs de performance liés à l'activité des transports. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z,PRICE=_Z,UNIT_MULT=0 NOT_DISPLAYED Transport safety indicators Indicateurs de la sécurité des transports The dataset includes performance indicators linked to transport safety. L'ensemble de données comprend des indicateurs de performance liés à la sécurité des transports. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSPORT_MODE,COMBINED_MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z,PRICE=_Z,UNIT_MULT=0 NOT_DISPLAYED MEASURE=TRAFFIC,TRANSPORT_MODE=ROAD DEFAULT COMBINED_MEASURE:TRANSPORT_MODE,MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure Transport traffic indicators Indicateurs de trafic de transport The dataset includes performance indicators linked to transport traffic. L'ensemble de données comprend des indicateurs de performance liés au trafic de transport. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSPORT_MODE,COMBINED_MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z,UNIT_MULT=0,PRICE=_Z NOT_DISPLAYED MEASURE=FREIGHT,TRANSPORT_MODE=ROAD DEFAULT COMBINED_MEASURE:TRANSPORT_MODE,MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure Transport performance indicators Indicateurs de performance des transports The dataset includes more than 90 performance indicators related to transport. The indicators cover seven themes: infrastructure, equipment, activity, safety, traffic, economic and social, environment. L'ensemble de données comprend plus de 90 indicateurs de performance liés au transport. Les indicateurs couvrent sept thématiques : infrastructures, matériel, activité, sécurité, circulation, économique et social, environnement. NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSPORT_MODE,MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS_2=A,FREQ,OBS_VALUE,DECIMALS,UNIT_MULT=0 NOT_DISPLAYED PRICE_BASE=V,UNIT_MEASURE=EUR,MEASURE=INV DEFAULT COMBINED_UNIT_MEASURE:PRICE_BASE,CURRENCY,UNIT_MULT,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 11000 MAX_TABLE_DATA Transport infrastructure investment and maintenance spending Dépenses d'investissements et entretien pour les infrastructures de transport Data are collected from Ministries of Transport, national statistical offices and other institutions designated as the official data source. The survey used for this exercise is the "Investment Spending in Transport Infrastructure". The original data is collected in national currency, current values. Data are converted and published in euros, both current and constant (2015 prices). The variables collected include investment, maintenance spending and capital value of road, rail, inland waterways, maritime ports and airports. Data are published annually on 31 March. Data series start in 1995 and continue until the current year-2, or the most recent available data. Les données sont collectées auprès des ministères des transports, des bureaux nationaux de statistique et d'autres institutions désignées comme source officielle de données. L'enquête utilisée pour cet exercice est «Dépenses d'investissement dans les infrastructures de transport». Les données d'origine sont collectées en monnaie nationale, valeurs courantes. Les données sont converties et publiées en euros, courants et constants (prix 2015). Les variables collectées comprennent l'investissement, les dépenses d'entretien et la valeur en capital des routes, des chemins de fer, des voies navigables intérieures, des ports maritimes et des aéroports. Les données sont publiées annuellement le 31 mars. Les données commencent en 1995 et continuent jusqu’à l’année en cours-2, ou jusqu'aux dernières données disponibles. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,GEO_COVERAGE=_Z,VEHICLE_TYPE=_Z,FUEL=_Z,TRANSPORT_MODE=ROAD,MEASURE=FATALITIES NOT_DISPLAYED FREQ=Q,TRANSPORT_MODE=ROAD DEFAULT 11000 MAX_TABLE_DATA Fatalities Personnes tuées People killed in road crashes within 30 days the crash occurred. Personnes tuées sur le coup ou décédant dans les 30 jours à la suite d’un accident corporel de la route. NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMBINED_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,GEO_COVERAGE=_Z,VEHICLE_TYPE=_Z,FUEL=_Z NOT_DISPLAYED FREQ=Q DEFAULT COMBINED_MEASURE:TRANSPORT_MODE,MEASURE,GEO_COVERAGE,FUEL,VEHICLE_TYPE;COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 11000 MAX_TABLE_DATA Freight transport Transport de merchandises Freight transport by rail, road and inland waterways, split in national and international transport. Transport de marchandises par chemin de fer, route et voies navigables intérieures, réparti en transports nationaux et internationaux. NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMBINED_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,GEO_COVERAGE=_Z,VEHICLE_TYPE=_Z,FUEL=_Z NOT_DISPLAYED FREQ=Q,TRANSPORT_MODE=ROAD DEFAULT COMBINED_MEASURE:MEASURE,GEO_COVERAGE,FUEL,VEHICLE_TYPE;COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 11000 MAX_TABLE_DATA Motor fuel deliveries Livraisons de carburant Petrol and diesel deliveries to the road sector. Livraisons d'essence et de diesel au secteur routier. NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMBINED_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,GEO_COVERAGE=_Z,VEHICLE_TYPE=_Z,FUEL=_Z NOT_DISPLAYED FREQ=Q DEFAULT COMBINED_MEASURE:TRANSPORT_MODE,MEASURE,GEO_COVERAGE,FUEL,VEHICLE_TYPE;COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 11000 MAX_TABLE_DATA Short term transport indicators Statistiques conjoncturelles des transports Data are collected from Ministries of Transport, national statistical offices and other institutions designated as the official data source. The survey used for this exercise is the "Quarterly Transport Statistics". Variables collected include rail, road and inland waterways national and international freight transport, rail passenger transport, road motor vehicle traffic, first registrations of brand new passenger cars and road goods vehicles, fuel deliveries and road fatalities. Data are collected with a lag of 2 months and made available at the end of each quarter. Data series start in 1994 and continue until the current quarter-1, or the most recent available data. Les données sont collectées auprès des ministères des transports, des bureaux nationaux de statistique et d'autres institutions désignées comme source officielle de données. L'enquête utilisée pour cet exercice est «Statistiques trimestrielles des transports». Les variables collectées comprennent le transport ferroviaire, routier et par voie navigable intérieure national et international de marchandises, le transport ferroviare de voyageurs, la circulation routière, les premières immatriculations des voitures particulières et des véhicules routieres pour le transport de marchandises, les livraisons de carburant et le nombre de tuées sur la route. Les données sont collectées avec un décalage de 2 mois et mises à disposition à la fin de chaque trimestre. Les données commencent en 1994 et continuent jusqu’au trimestre en cours-1, ou jusqu'aux dernières données disponibles. NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,GEO_COVERAGE=_Z,VEHICLE_TYPE=_Z,FUEL=_Z,TRANSPORT_MODE=RAIL,MEASURE=PASSENGER NOT_DISPLAYED FREQ=Q,TRANSPORT_MODE=RAIL DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 11000 MAX_TABLE_DATA Passenger transport Transport de voyageurs Passenger transport by rail. Transport de voyageurs par chemin de fer. NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMBINED_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,GEO_COVERAGE=_Z,VEHICLE_TYPE=_Z,FUEL=_Z NOT_DISPLAYED FREQ=Q,TRANSPORT_MODE=ROAD DEFAULT COMBINED_MEASURE:MEASURE,GEO_COVERAGE,FUEL,VEHICLE_TYPE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée 11000 MAX_TABLE_DATA First registrations of brand new vehicles Premières immatriculations des véhicules Number of new passenger cars and goods road motor vehicles registered for the first time. Nombre de voitures particulières et de véhicules routiers automobiles pour le transport de merchandises neufs immatriculés pour la première fois. NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,GEO_COVERAGE=_Z,VEHICLE_TYPE=_Z,FUEL=_Z,MEASURE=TRAFFIC NOT_DISPLAYED FREQ=Q,TRANSPORT_MODE=ROAD DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 11000 MAX_TABLE_DATA Road motor vehicle traffic Circulation routière Movement of road motor vehicles on a given road network. Tout mouvement d’un véhicule routier à moteur sur un réseau routier donné NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMBINED_MEASURE LAYOUT_ROW_SECTION OBS_STATUS LAYOUT_FLAG OBS_STATUS=A,UNIT_MULT=0,VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z NOT_DISPLAYED COMBINED_MEASURE:TRANSPORT_MODE,MEASURE,VEHICLE_TYPE,INFRASTRUCTURE_TYPE;COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 11000 MAX_TABLE_DATA Annual transport trends Tendances annuelles des transports Data are collected from Ministries of Transport, national statistical offices and other institutions designated as the official data source. The survey used for this exercise is the "Trends in the Transport Sector". Variables collected include inland transport of goods and passengers, as well as road injury crashes. Additional information is also gathered on containers transported by rail and sea as well as short sea shipping. Data are published annually on 31 October. Data series start in 1970 and continue until the current year-1, or the most recent available data. Les données sont collectées auprès des ministères des transports, des bureaux nationaux de statistique et d'autres institutions désignées comme source officielle de données. L'enquête utilisée pour cet exercice est «Tendances dans le secteur des transports». Les variables collectées comprennent le transport intérieur de marchandises et de voyageurs, ainsi que les accidents corporels routiers. Les données comprennent aussi des informations sur les conteneurs transportés par chemin de fer ou par la mer et sur le cabotage. Les données sont publiées annuellement le 31 octobre. Les données commencent en 1970 et continuent jusqu’à l’année en cours-1, ou jusqu'aux dernières données disponibles. NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMBINED_MEASURE LAYOUT_ROW_SECTION OBS_STATUS LAYOUT_FLAG OBS_STATUS=A,UNIT_MULT=0,VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z NOT_DISPLAYED COMBINED_MEASURE:TRANSPORT_MODE,MEASURE,VEHICLE_TYPE,INFRASTRUCTURE_TYPE;COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 11000 MAX_TABLE_DATA Annual container transport Transport annuelles des conteneurs Container transport by rail and sea. Transport de conteneur par chemin de fer et maritime. NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMBINED_MEASURE LAYOUT_ROW_SECTION OBS_STATUS LAYOUT_FLAG OBS_STATUS=A,VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z NOT_DISPLAYED COMBINED_MEASURE:TRANSPORT_MODE,MEASURE,VEHICLE_TYPE,INFRASTRUCTURE_TYPE;COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 11000 MAX_TABLE_DATA Annual freight transport Transport annuelles des marchandises Freight transport by rail, road, inland waterways and pipeline. Transport de marchandises par chemin de fer, route, voies navigables intérieures et pipeline. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMBINED_MEASURE LAYOUT_ROW_SECTION OBS_STATUS LAYOUT_FLAG OBS_STATUS=A,UNIT_MULT=0,VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z NOT_DISPLAYED COMBINED_MEASURE:TRANSPORT_MODE,MEASURE,VEHICLE_TYPE,INFRASTRUCTURE_TYPE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée 11000 MAX_TABLE_DATA Annual length of inland transport infrastructure Longueur des infrastructures de transport intérieur Length of rail lines, road network and navigable inland waterways. Longeur de voie de transport ferroviaire, du reseau routier et des voies navigables intérieurs NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMBINED_MEASURE LAYOUT_ROW_SECTION OBS_STATUS LAYOUT_FLAG OBS_STATUS=A,VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z NOT_DISPLAYED COMBINED_MEASURE:TRANSPORT_MODE,MEASURE,VEHICLE_TYPE,INFRASTRUCTURE_TYPE;COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 11000 MAX_TABLE_DATA Annual passenger transport Transport annuelles des passagers Passenger transport by rail and road. Transport de voyageurs par chemin de feret route. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMBINED_MEASURE LAYOUT_ROW_SECTION OBS_STATUS LAYOUT_FLAG OBS_STATUS=A,UNIT_MULT=0,VEHICLE_TYPE=_Z,INFRASTRUCTURE_TYPE=_Z NOT_DISPLAYED TRANSPORT_MODE=ROAD DEFAULT COMBINED_MEASURE:MEASURE,VEHICLE_TYPE,INFRASTRUCTURE_TYPE\ COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée 11000 MAX_TABLE_DATA Annual road fatalities, injured, injury crashes Victimes annuelles des et accidents corporels de la route People killed in road crashes within 30 days the crash occurred, people injured in road crashes, and road injury crashes. Personnes tuées sur le coup ou décédant dans les 30 jours à la suite d’un accident corporel de la route, personnes bleseées sur la route, et accidents corporels de la route. NonProductionDataflow true TRANSACTION,EXPENDITURE LAYOUT_ROW HOUSEHOLD_TYPE,INCOME_GROUP LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION DECIMAL LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,HOUSEHOLD_TYPE=_Z,HOUSEHOLD_OWNERSHIP=_Z,AGE=_Z,ATTAINMENT_LEV=_Z,MAIN_INCOME_SOURCE,INCOME_GROUP,SEX,LABOUR_MARKET_STATUS NOT_DISPLAYED REF_AREA=CAN,TIME_PERIOD_START=2019,TIME_PERIOD_END=2019,UNIT_MEASURE=XDC,MAIN_INCOME_SOURCE=_Z DEFAULT TRANSACTION:OECD.SDD.NAD:HCL_TRANSACT_CONSUMP_EGDNA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée HOUSEHOLD_GROUPS:INCOME_GROUP,HOUSEHOLD_TYPE,MAIN_INCOME_SOURCE COMBINED_CONCEPTS HOUSEHOLD_GROUPS:Household groups HOUSEHOLD_GROUPS:Household groups V2/structure/dataflow/OECD.SDD.NAD/DSD_EGDNA_CONS_INC@DF_CONS_INC,DSD_EGDNA_CONS_HHT@DF_CONS_HHT,DSD_EGDNA_CONS_MSI@DF_CONS_MSI/latest RELATED_DATA Household consumption in the National Accounts: distributions by household type This table presents household consumption from the national accounts broken down by household type. It includes final consumption expenditure and actual individual consumption. Final consumption expenditure concerns the amount that households actually spend on consumption goods and services such as food, clothing, housing, transport, health care and education. Actual individual consumption includes not only households’ total final consumption expenditure but also their consumption of social transfers in kind, which are goods and services (such as health care, education, housing and childcare) that are provided by government and non-profit institutions for free or at subsidised rates, so they are not fully paid for by households themselves.<br><br> In this table, households are grouped on the basis of their composition, taking into account the presence, number and age of the members of the household. Eight categories are shown: a) single person (adult) less than 65 years old, b) single adult aged 65 and older, c) single adult with children living at home, d) a couple (two adults) where both are less than 65 years old without children living at home, e) two adults where at least one is aged 65 or older without children living at home, f) two adults with fewer than 3 children living at home, g) two adults with at least 3 children living at home, and h) others. In this classification, an adult is defined as anyone who is 18 years old or older.<br><br> Results are presented in national currency and as averages per household and per consumption unit (you can choose these from the ‘Unit of measure’ filter). Results per consumption unit (equivalised consumption) are obtained by dividing each household’s result by the number of consumption units, reflecting its consumption needs, for example by applying the standard OECD-modified equivalence scale, counting the first adult as 1, any additional people aged 14 and over as 0.5 and all children under 14 as 0.3.<br><br> The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. Users are recommended to select one country at a time to obtain a comprehensive overview of the distributional results for that country for a given period of time. Alternatively, you may select a specific item from the ‘Transaction’ or ‘Expenditure’ filter to make cross-country comparisons. <br><br> For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>. NonProductionDataflow true TRANSACTION,EXPENDITURE LAYOUT_ROW INCOME_GROUP LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION DECIMAL LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,HOUSEHOLD_OWNERSHIP=_Z,AGE=_Z,ATTAINMENT_LEV=_Z,SEX,LABOUR_MARKET_STATUS,HOUSEHOLD_TYPE,MAIN_INCOME_SOURCE NOT_DISPLAYED REF_AREA=CAN,TIME_PERIOD_START=2019,TIME_PERIOD_END=2019,UNIT_MEASURE=XDC,HOUSEHOLD_TYPE=_Z,MAIN_INCOME_SOURCE=_Z DEFAULT TRANSACTION:OECD.SDD.NAD:HCL_TRANSACT_CONSUMP_EGDNA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée HOUSEHOLD_GROUPS:INCOME_GROUP,HOUSEHOLD_TYPE,MAIN_INCOME_SOURCE COMBINED_CONCEPTS HOUSEHOLD_GROUPS:Household groups HOUSEHOLD_GROUPS:Household groups V2/structure/dataflow/OECD.SDD.NAD/DSD_EGDNA_CONS_INC@DF_CONS_INC,DSD_EGDNA_CONS_HHT@DF_CONS_HHT,DSD_EGDNA_CONS_MSI@DF_CONS_MSI/latest RELATED_DATA Household consumption in the National Accounts: distributions by income quintile This table presents household consumption from the national accounts broken down by income quintile. It includes final consumption expenditure and actual individual consumption. Final consumption expenditure concerns the amount that households actually spend on consumption goods and services such as food, clothing, housing, transport, health care and education. Actual individual consumption includes not only households’ total final consumption expenditure but also their consumption of social transfers in kind, which are goods and services (such as health care, education, housing and childcare) that are provided by government and non-profit institutions for free or at subsidised rates, so they are not fully paid for by households themselves.<br><br> In this table, households are grouped into income quintiles on the basis of their equivalised disposable income, ranked from lowest to highest, i.e., the first quintile represents the 20% households with the lowest equivalised disposable income and the fifth quintile the 20% households with the highest. Equivalisation means that results for each household have been recalculated on the basis of its consumption needs, in order to produce comparable results across households of different size and composition. <br><br> Results are presented in national currency and as averages per household and per consumption unit (you can choose these from the ‘Unit of measure’ filter). Results per consumption unit (equivalised consumption) are obtained by dividing each household’s result by the number of consumption units, reflecting its consumption needs, for example by applying the standard OECD-modified equivalence scale, counting the first adult as 1, any additional people aged 14 and over as 0.5 and all children under 14 as 0.3.<br><br> The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. Users are recommended to select one country at a time to obtain a comprehensive overview of the distributional results for that country for a given period of time. Alternatively, you may select a specific item from the ‘Transaction’ or ‘Expenditure’ filter to make cross-country comparisons. <br><br> For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>. NonProductionDataflow true TRANSACTION,EXPENDITURE LAYOUT_ROW MAIN_INCOME_SOURCE,INCOME_GROUP LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION DECIMAL LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,HOUSEHOLD_TYPE=_Z,HOUSEHOLD_OWNERSHIP=_Z,AGE=_Z,ATTAINMENT_LEV=_Z,HOUSEHOLD_TYPE,INCOME_GROUP,SEX,LABOUR_MARKET_STATUS NOT_DISPLAYED REF_AREA=CAN,TIME_PERIOD_START=2019,TIME_PERIOD_END=2019,UNIT_MEASURE=XDC,HOUSEHOLD_TYPE=_Z DEFAULT TRANSACTION:OECD.SDD.NAD:HCL_TRANSACT_CONSUMP_EGDNA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée HOUSEHOLD_GROUPS:INCOME_GROUP,HOUSEHOLD_TYPE,MAIN_INCOME_SOURCE COMBINED_CONCEPTS HOUSEHOLD_GROUPS:Household groups HOUSEHOLD_GROUPS:Household groups V2/structure/dataflow/OECD.SDD.NAD/DSD_EGDNA_CONS_INC@DF_CONS_INC,DSD_EGDNA_CONS_HHT@DF_CONS_HHT,DSD_EGDNA_CONS_MSI@DF_CONS_MSI/latest RELATED_DATA Household consumption in the National Accounts: distributions by main source of income This table presents household consumption from the national accounts broken down by main source of income. It includes final consumption expenditure and actual individual consumption. Final consumption expenditure concerns the amount that households actually spend on consumption goods and services such as food, clothing, housing, transport, health care and education. Actual individual consumption includes not only households’ total final consumption expenditure but also their consumption of social transfers in kind, which are goods and services (such as health care, education, housing and childcare) that are provided by government and non-profit institutions for free or at subsidised rates, so they are not fully paid for by households themselves.<br><br> In this table, households are grouped on the basis of their main source of income, which is the income item that makes the largest contribution to the income of the household. Four categories are shown: wages and salaries, income from self-employment, net property income (mainly interest, dividends and rent), and current transfers received such as social benefits and social transfers in kind.<br><br> Results are presented in national currency and as averages per household and per consumption unit (you can choose these from the ‘Unit of measure’ filter). Results per consumption unit (equivalised consumption) are obtained by dividing each household’s result by the number of consumption units, reflecting its consumption needs, for example by applying the standard OECD-modified equivalence scale, counting the first adult as 1, any additional people aged 14 and over as 0.5 and all children under 14 as 0.3.<br><br> The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. Users are recommended to select one country at a time to obtain a comprehensive overview of the distributional results for that country for a given period of time. Alternatively, you may select a specific item from the ‘Transaction’ or ‘Expenditure’ filter to make cross-country comparisons. <br><br> For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>. NonProductionDataflow true TRANSACTION,ACCOUNTING_ENTRY,EXPENDITURE,COMBINED_UNIT_MEASURE LAYOUT_ROW HOUSEHOLD_TYPE LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION DECIMAL LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,UNIT_MULT=0,HOUSEHOLD_TYPE=_Z+_T,HOUSEHOLD_OWNERSHIP=_Z,AGE=_Z,ATTAINMENT_LEV=_Z,MAIN_INCOME_SOURCE,INCOME_GROUP,SEX,LABOUR_MARKET_STATUS NOT_DISPLAYED REF_AREA=CAN,TIME_PERIOD_START=2019,TIME_PERIOD_END=2019,UNIT_MEASURE=XDC DEFAULT TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_EGDNA(1.0).H,EXPENDITURE:OECD.SDD.NAD:HCL_EGDNA_STIK(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée HOUSEHOLD_GROUPS:INCOME_GROUP,HOUSEHOLD_TYPE,MAIN_INCOME_SOURCE COMBINED_CONCEPTS HOUSEHOLD_GROUPS:Household groups HOUSEHOLD_GROUPS:Household groups V2/structure/dataflow/OECD.SDD.NAD/DSD_EGDNA_INC_INC@DF_INC_INC,DSD_EGDNA_INC_HHT@DF_INC_HHT,DSD_EGDNA_INC_MSI@DF_INC_MSI/latest RELATED_DATA Household income and saving in the National Accounts: distributions by household type This table presents household income and saving from the national accounts broken down by income quintile. It includes primary income, disposable income, adjusted disposable income and saving. Primary income is the income that households receive as a result of their involvement in production. It includes gross operating surplus (in the case of households, imputed income from owning your own house), gross mixed income (profits of the self-employed) and compensation of employees (wages and salaries and employers’ social contributions) as well as net interest, distributed income of corporations (dividends) and rent. Disposable income is the income that households receive after taxes on income and wealth, social contributions and benefits, non-life insurance premiums and claims, and other current transfers like remittances. Adjusted disposable income is derived from disposable income, but also includes the value of social transfers in kind received by households. Saving represents that part of disposable income (adjusted for the change in pension entitlements) that is not spent on final consumption goods and services.<br><br> In this table, households are grouped on the basis of their composition, taking into account the presence, number and age of the members of the household. Eight categories are shown: a) single person (adult) less than 65 years old, b) single adult aged 65 and older, c) single adult with children living at home, d) a couple (two adults) where both are less than 65 years old without children living at home, e) two adults where at least one is aged 65 or older without children living at home, f) two adults with fewer than 3 children living at home, g) two adults with at least 3 children living at home, and h) others. In this classification, an adult is defined as anyone who is 18 years old or older.<br><br> Results are presented in national currency and as averages per household and per consumption unit (you can choose these from the ‘Unit of measure’ filter). Results per consumption unit (equivalised income and saving) are obtained by dividing each household’s result by the number of consumption units, reflecting its consumption needs, for example by applying the standard OECD-modified equivalence scale, counting the first adult as 1, any additional people aged 14 and over as 0.5 and all children under 14 as 0.3.<br><br> The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. Users are recommended to select one country at a time to obtain a comprehensive overview of the distributional results for that country for a given period of time. Alternatively, you may select a specific item from the ‘Transaction’ filter to make cross-country comparisons. <br><br> For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>. NonProductionDataflow true TRANSACTION,ACCOUNTING_ENTRY,EXPENDITURE,COMBINED_UNIT_MEASURE LAYOUT_ROW INCOME_GROUP LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION DECIMAL LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,UNIT_MULT=0,HOUSEHOLD_TYPE=_Z,HOUSEHOLD_OWNERSHIP=_Z,AGE=_Z,ATTAINMENT_LEV=_Z,SEX,LABOUR_MARKET_STATUS,HOUSEHOLD_TYPE,MAIN_INCOME_SOURCE NOT_DISPLAYED REF_AREA=CAN,TIME_PERIOD_START=2019,TIME_PERIOD_END=2019,UNIT_MEASURE=XDC DEFAULT TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_EGDNA(1.0).H,EXPENDITURE:OECD.SDD.NAD:HCL_EGDNA_STIK(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée HOUSEHOLD_GROUPS:INCOME_GROUP,HOUSEHOLD_TYPE,MAIN_INCOME_SOURCE COMBINED_CONCEPTS HOUSEHOLD_GROUPS:Household groups HOUSEHOLD_GROUPS:Household groups V2/structure/dataflow/OECD.SDD.NAD/DSD_EGDNA_INC_INC@DF_INC_INC,DSD_EGDNA_INC_HHT@DF_INC_HHT,DSD_EGDNA_INC_MSI@DF_INC_MSI/latest RELATED_DATA Household income and saving in the National Accounts: distributions by income quintile This table presents household income and saving from the national accounts broken down by income quintile. It includes primary income, disposable income, adjusted disposable income and saving. Primary income is the income that households receive as a result of their involvement in production. It includes gross operating surplus (in the case of households, imputed income from owning your own house), gross mixed income (profits of the self-employed) and compensation of employees (wages and salaries and employers’ social contributions) as well as net interest, distributed income of corporations (dividends) and rent. Disposable income is the income that households receive after taxes on income and wealth, social contributions and benefits, non-life insurance premiums and claims, and other current transfers like remittances. Adjusted disposable income is derived from disposable income, but also includes the value of social transfers in kind received by households. Saving represents that part of disposable income (adjusted for the change in pension entitlements) that is not spent on final consumption goods and services.<br><br> In this table, households are grouped into income quintiles on the basis of their equivalised disposable income, ranked from lowest to highest, i.e., the first quintile represents the 20% households with the lowest equivalised disposable income and the fifth quintile the 20% households with the highest. Equivalisation means that results for each household have been recalculated on the basis of its consumption needs, in order to produce comparable results across households of different size and composition.<br><br> Results are presented in national currency and as averages per household and per consumption unit (you can choose these from the ‘Unit of measure’ filter). Results per consumption unit (equivalised income and saving) are obtained by dividing each household’s result by the number of consumption units, reflecting its consumption needs, for example by applying the standard OECD-modified equivalence scale, counting the first adult as 1, any additional people aged 14 and over as 0.5 and all children under 14 as 0.3.<br><br> The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. Users are recommended to select one country at a time to obtain a comprehensive overview of the distributional results for that country for a given period of time. Alternatively, you may select a specific item from the ‘Transaction’ filter to make cross-country comparisons.<br><br> For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>. NonProductionDataflow true TRANSACTION,ACCOUNTING_ENTRY,EXPENDITURE,COMBINED_UNIT_MEASURE LAYOUT_ROW MAIN_INCOME_SOURCE LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION DECIMAL LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,UNIT_MULT=0,HOUSEHOLD_OWNERSHIP=_Z,AGE=_Z,ATTAINMENT_LEV=_Z,HOUSEHOLD_TYPE,INCOME_GROUP,SEX,LABOUR_MARKET_STATUS,MAIN_INCOME_SOURCE=_T NOT_DISPLAYED REF_AREA=CAN,TIME_PERIOD_START=2019,TIME_PERIOD_END=2019,UNIT_MEASURE=XDC DEFAULT TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_EGDNA(1.0).H,EXPENDITURE:OECD.SDD.NAD:HCL_EGDNA_STIK(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée HOUSEHOLD_GROUPS:INCOME_GROUP,HOUSEHOLD_TYPE,MAIN_INCOME_SOURCE COMBINED_CONCEPTS HOUSEHOLD_GROUPS:Household groups HOUSEHOLD_GROUPS:Household groups V2/structure/dataflow/OECD.SDD.NAD/DSD_EGDNA_INC_INC@DF_INC_INC,DSD_EGDNA_INC_HHT@DF_INC_HHT,DSD_EGDNA_INC_MSI@DF_INC_MSI/latest RELATED_DATA Household income and saving in the National Accounts: distributions by main source of income This table presents household income and saving from the national accounts broken down by income quintile. It includes primary income, disposable income, adjusted disposable income and saving. Primary income is the income that households receive as a result of their involvement in production. It includes gross operating surplus (in the case of households, imputed income from owning your own house), gross mixed income (profits of the self-employed) and compensation of employees (wages and salaries and employers’ social contributions) as well as net interest, distributed income of corporations (dividends) and rent. Disposable income is the income that households receive after taxes on income and wealth, social contributions and benefits, non-life insurance premiums and claims, and other current transfers like remittances. Adjusted disposable income is derived from disposable income, but also includes the value of social transfers in kind received by households. Saving represents that part of disposable income (adjusted for the change in pension entitlements) that is not spent on final consumption goods and services.<br><br> In this table, households are grouped on the basis of their main source of income, which is the income item that makes the largest contribution to the income of the household. Four categories are shown: wages and salaries, income from self-employment, net property income (mainly interest, dividends and rent), and current transfers received such as social benefits including social transfers in kind.<br><br> Results are presented in national currency and as averages per household and per consumption unit (you can choose these from the ‘Unit of measure’ filter). Results per consumption unit (equivalised income and saving) are obtained by dividing each household’s result by the number of consumption units, reflecting its consumption needs, for example by applying the standard OECD-modified equivalence scale, counting the first adult as 1, any additional people aged 14 and over as 0.5 and all children under 14 as 0.3.<br><br> The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. Users are recommended to select one country at a time to obtain a comprehensive overview of the distributional results for that country for a given period of time. Alternatively, you may select a specific item from the ‘Transaction’ filter to make cross-country comparisons. <br><br> For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>. NonProductionDataflow true HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV LAYOUT_ROW INCOME_GROUP,MAIN_INCOME_SOURCE LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION DECIMAL LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,UNIT_MULT=0,HOUSEHOLD_TYPE=_Z,HOUSEHOLD_OWNERSHIP=_Z,AGE=_Z,SEX=_Z,LABOUR_MARKET_STATUS=_Z,ATTAINMENT_LEV=_Z,MAIN_INCOME_SOURCE=_Z NOT_DISPLAYED REF_AREA=CAN,TIME_PERIOD_START=2019,TIME_PERIOD_END=2019 DEFAULT AGE:OECD.SDD.NAD:HCL_EGDNA_AGE(1.0).H,SEX:OECD.SDD.NAD:HCL_EGDNA_SEX(1.0).H,ATTAINMENT_LEV:OECD.SDD.NAD:HCL_EGDNA_EDUC(1.0).H HIER_CONTEXT COMBINED_SOCDEM_MEASURE:HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV COMBINED_CONCEPTS COMBINED_SOCDEM_MEASURE:Sociodemographic group COMBINED_SOCDEM_MEASURE:Unité de mesure combinée Annual Distributional National Accounts: Socio-demographic characteristics This table is part of the experimental OECD's datasets on distributional national accounts and presents the socio-demographic characteristics of the households/individuals included in the disposable income groups. It concerns breakdowns of households according to household type and housing status and of individuals according to age, gender, labour market status and education level. For the breakdowns according to household type and main source of income, it only concerns information on the total number of households and consumption units per household group. This information is only available for the countries participating in the EG DNA. NonProductionDataflow true HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV,MAIN_INCOME_SOURCE LAYOUT_ROW INCOME_GROUP LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION DECIMAL LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,UNIT_MULT=0,HOUSEHOLD_TYPE=_Z,HOUSEHOLD_OWNERSHIP=_Z,AGE=_Z,SEX=_Z,LABOUR_MARKET_STATUS=_Z,ATTAINMENT_LEV=_Z,MAIN_INCOME_SOURCE=_Z NOT_DISPLAYED REF_AREA=CAN,TIME_PERIOD_START=2019,TIME_PERIOD_END=2019 DEFAULT AGE:OECD.SDD.NAD:HCL_EGDNA_AGE(1.0).H HIER_CONTEXT COMBINED_SOCDEM_MEASURE:HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV,MAIN_INCOME_SOURCE COMBINED_CONCEPTS COMBINED_SOCDEM_MEASURE:Sociodemographic group COMBINED_SOCDEM_MEASURE:Unité de mesure combinée Population in the National Accounts: distribution of people in income quintiles by age This dataset accompanies the tables ‘Household income and saving in the National Accounts: distributions by income quintile’ and ‘Household consumption in the National Accounts: distributions by income quintile’ and presents the number of individuals belonging to households in each quintile broken down by age group.<br><br> Households are grouped into income quintiles on the basis of their equivalised disposable income, ranked from lowest to highest, i.e., the first quintile represents the 20% households with the lowest equivalised disposable income and the fifth quintile the 20% households with the highest. Equivalisation means that results for each household have been recalculated on the basis of its consumption needs, in order to produce comparable results across households of different size and composition. <br><br> The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. <br><br> For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>. NonProductionDataflow true HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV,MAIN_INCOME_SOURCE LAYOUT_ROW INCOME_GROUP LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION DECIMAL LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,UNIT_MULT=0,HOUSEHOLD_TYPE=_Z,HOUSEHOLD_OWNERSHIP=_Z,AGE=_Z,SEX=_Z,LABOUR_MARKET_STATUS=_Z,ATTAINMENT_LEV=_Z,MAIN_INCOME_SOURCE=_Z NOT_DISPLAYED REF_AREA=CAN,TIME_PERIOD_START=2019,TIME_PERIOD_END=2019 DEFAULT ATTAINMENT_LEV:OECD.SDD.NAD:HCL_EGDNA_EDUC(1.0).H HIER_CONTEXT COMBINED_SOCDEM_MEASURE:HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV,MAIN_INCOME_SOURCE COMBINED_CONCEPTS COMBINED_SOCDEM_MEASURE:Sociodemographic group COMBINED_SOCDEM_MEASURE:Unité de mesure combinée Population in the National Accounts: distribution of people in income quintiles by educational attainment level This dataset accompanies the tables ‘Household income and saving in the National Accounts: distributions by income quintile’ and ‘Household consumption in the National Accounts: distributions by income quintile’ and presents the number of individuals belonging to households in each quintile broken down by the highest level of education achieved.<br><br> Households are grouped into income quintiles on the basis of their equivalised disposable income, ranked from lowest to highest, i.e., the first quintile represents the 20% households with the lowest equivalised disposable income and the fifth quintile the 20% households with the highest. Equivalisation means that results for each household have been recalculated on the basis of its consumption needs, in order to produce comparable results across households of different size and composition. <br><br> The education levels are derived on the basis of the International Standard Classification of Education (ISCED) which distinguishes the following categories: 0) less than primary education, 1) primary education, 2) lower secondary education, 3) upper secondary education, 4) post-secondary non-tertiary education, 5) short-cycle tertiary education, 6) bachelor’s or equivalent level, 7) master’s or equivalent level, 8) doctoral or equivalent level. <br><br> The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. <br><br> For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>. NonProductionDataflow true HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV,MAIN_INCOME_SOURCE LAYOUT_ROW INCOME_GROUP LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION DECIMAL LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,UNIT_MULT=0,HOUSEHOLD_TYPE=_Z,HOUSEHOLD_OWNERSHIP=_Z,AGE=_Z,SEX=_Z,LABOUR_MARKET_STATUS=_Z,ATTAINMENT_LEV=_Z,MAIN_INCOME_SOURCE=_Z NOT_DISPLAYED REF_AREA=CAN,TIME_PERIOD_START=2019,TIME_PERIOD_END=2019 DEFAULT SEX:OECD.SDD.NAD:HCL_EGDNA_SEX(1.0).H HIER_CONTEXT COMBINED_SOCDEM_MEASURE:HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV,MAIN_INCOME_SOURCE COMBINED_CONCEPTS COMBINED_SOCDEM_MEASURE:Sociodemographic group COMBINED_SOCDEM_MEASURE:Unité de mesure combinée Population in the National Accounts: distribution of people in income quintiles by sex This dataset accompanies the tables ‘Household income and saving in the National Accounts: distributions by income quintile’ and ‘Household consumption in the National Accounts: distributions by income quintile’ and presents the number of individuals belonging to households in each quintile broken down by sex (males and females).<br><br> Households are grouped into income quintiles on the basis of their equivalised disposable income, ranked from lowest to highest, i.e., the first quintile represents the 20% households with the lowest equivalised disposable income and the fifth quintile the 20% households with the highest. Equivalisation means that results for each household have been recalculated on the basis of its consumption needs, in order to produce comparable results across households of different size and composition. <br><br> The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. <br><br> For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>. NonProductionDataflow true UNIT_MEASURE LAYOUT_ROW HOUSEHOLD_TYPE LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION DECIMAL LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,UNIT_MULT=0,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV,MAIN_INCOME_SOURCE NOT_DISPLAYED REF_AREA=CAN,TIME_PERIOD_START=2019,TIME_PERIOD_END=2019 DEFAULT COMBINED_SOCDEM_MEASURE:HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV COMBINED_CONCEPTS COMBINED_SOCDEM_MEASURE:Sociodemographic group COMBINED_SOCDEM_MEASURE:Unité de mesure combinée Population in the National Accounts: distributions by household type This dataset accompanies the tables ‘Household income and saving in the National Accounts: distributions by household type’ and ‘Household consumption in the National Accounts: distributions by household type’ and presents the number of households, individuals, and consumption units for each type of household, which is based on household composition.<br><br> Eight types of household are shown: a) single person (adult) less than 65 years old, b) single adult aged 65 and older, c) single adult with children living at home, d) a couple (two adults) where both are less than 65 years old without children living at home, e) two adults where at least one is aged 65 or older without children living at home, f) two adults with fewer than 3 children living at home, g) two adults with at least 3 children living at home, and h) others. In this classification, an adult is defined as anyone who is 18 years old or older.<br><br> The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. <br><br> For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>. NonProductionDataflow true HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV,MAIN_INCOME_SOURCE LAYOUT_ROW INCOME_GROUP LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION DECIMAL LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,UNIT_MULT=0,HOUSEHOLD_TYPE=_Z,HOUSEHOLD_OWNERSHIP=_Z,AGE=_Z,SEX=_Z,LABOUR_MARKET_STATUS=_Z,ATTAINMENT_LEV=_Z,MAIN_INCOME_SOURCE=_Z NOT_DISPLAYED REF_AREA=CAN,TIME_PERIOD_START=2019,TIME_PERIOD_END=2019 DEFAULT COMBINED_SOCDEM_MEASURE:HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV,MAIN_INCOME_SOURCE COMBINED_CONCEPTS COMBINED_SOCDEM_MEASURE:Sociodemographic group COMBINED_SOCDEM_MEASURE:Unité de mesure combinée Population in the National Accounts: distribution of households in income quintiles by home ownership status This dataset accompanies the tables ‘Household income and saving in the National Accounts: distributions by income quintile’ and ‘Household consumption in the National Accounts: distributions by income quintile’ and presents the number of households in each quintile broken down by home ownership status.<br><br> Households are grouped into income quintiles on the basis of their equivalised disposable income, ranked from lowest to highest, i.e., the first quintile represents the 20% households with the lowest equivalised disposable income and the fifth quintile the 20% households with the highest. Equivalisation means that results for each household have been recalculated on the basis of its consumption needs, in order to produce comparable results across households of different size and composition. <br><br> The following three home ownership classes are shown: a) households that rent their house (‘Rent’), b) households that own their house (partly) financing it with a mortgage (‘Own with mortgage’), and c) households that own their house but have no mortgage (‘Own without mortgage’).<br><br> The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. <br><br> For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>. NonProductionDataflow true HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV,MAIN_INCOME_SOURCE LAYOUT_ROW INCOME_GROUP LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION DECIMAL LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,UNIT_MULT=0,HOUSEHOLD_TYPE=_Z,HOUSEHOLD_OWNERSHIP=_Z,AGE=_Z,SEX=_Z,LABOUR_MARKET_STATUS=_Z,ATTAINMENT_LEV=_Z,MAIN_INCOME_SOURCE=_Z NOT_DISPLAYED REF_AREA=CAN,TIME_PERIOD_START=2019,TIME_PERIOD_END=2019 DEFAULT COMBINED_SOCDEM_MEASURE:HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV,MAIN_INCOME_SOURCE COMBINED_CONCEPTS COMBINED_SOCDEM_MEASURE:Sociodemographic group COMBINED_SOCDEM_MEASURE:Unité de mesure combinée Population in the National Accounts: distribution of households in income quintiles by household type This dataset accompanies the tables ‘Household income and saving in the National Accounts: distributions by income quintile’ and ‘Household consumption in the National Accounts: distributions by income quintile’ and presents the number of households in each quintile broken down by household type.<br><br> Households are grouped into income quintiles on the basis of their equivalised disposable income, ranked from lowest to highest, i.e., the first quintile represents the 20% households with the lowest equivalised disposable income and the fifth quintile the 20% households with the highest. Equivalisation means that results for each household have been recalculated on the basis of its consumption needs, in order to produce comparable results across households of different size and composition. <br><br> Households are grouped on the basis of their composition, taking into account the presence, number and age of the members of the household. Eight categories are shown: a) single person (adult) less than 65 years old, b) single adult aged 65 and older, c) single adult with children living at home, d) a couple (two adults) where both are less than 65 years old without children living at home, e) two adults where at least one is aged 65 or older without children living at home, f) two adults with fewer than 3 children living at home, g) two adults with at least 3 children living at home, and h) others. In this classification, an adult is defined as anyone who is 18 years old or older.<br><br> The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. <br><br> For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>. NonProductionDataflow true HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV,MAIN_INCOME_SOURCE LAYOUT_ROW INCOME_GROUP LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION DECIMAL LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,UNIT_MULT=0,HOUSEHOLD_TYPE=_Z,HOUSEHOLD_OWNERSHIP=_Z,AGE=_Z,SEX=_Z,LABOUR_MARKET_STATUS=_Z,ATTAINMENT_LEV=_Z,MAIN_INCOME_SOURCE=_Z NOT_DISPLAYED REF_AREA=CAN,TIME_PERIOD_START=2019,TIME_PERIOD_END=2019 DEFAULT COMBINED_SOCDEM_MEASURE:HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV,MAIN_INCOME_SOURCE COMBINED_CONCEPTS COMBINED_SOCDEM_MEASURE:Sociodemographic group COMBINED_SOCDEM_MEASURE:Unité de mesure combinée Population in the National Accounts: distribution of people in income quintiles by labour market status This dataset accompanies the tables ‘Household income and saving in the National Accounts: distributions by income quintile’ and ‘Household consumption in the National Accounts: distributions by income quintile’ and presents the number of individuals belonging to households in each quintile broken down by their labour market status.<br><br> Households are grouped into income quintiles on the basis of their equivalised disposable income, ranked from lowest to highest, i.e., the first quintile represents the 20% households with the lowest equivalised disposable income and the fifth quintile the 20% households with the highest. Equivalisation means that results for each household have been recalculated on the basis of its consumption needs, in order to produce comparable results across households of different size and composition. <br><br> The following labour market status groups are shown: a) unemployed, b) employee, c) employer, d) own-account worker, e) unpaid family worker, f) student, h) retired. Individuals are classified according to their main activity, which is the activity that they spend most of their time on.<br><br> The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. <br><br> For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>. NonProductionDataflow true UNIT_MEASURE LAYOUT_ROW MAIN_INCOME_SOURCE LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION DECIMAL LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,UNIT_MULT=0,HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV NOT_DISPLAYED REF_AREA=CAN,TIME_PERIOD_START=2019,TIME_PERIOD_END=2019 DEFAULT COMBINED_SOCDEM_MEASURE:HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV COMBINED_CONCEPTS COMBINED_SOCDEM_MEASURE:Sociodemographic group COMBINED_SOCDEM_MEASURE:Unité de mesure combinée Population in the National Accounts: distributions by main source of income This dataset accompanies the tables ‘Household income and saving in the National Accounts: distributions by main source of income’ and ‘Household consumption in the National Accounts: distributions by main source of income’ and presents the number of households, individuals, and consumption units for each main source of income category.<br><br> The main source of income is the income item that makes the largest contribution to the income of the household. Four categories are shown: wages and salaries, income from self-employment, net property income (mainly interest, dividends and rent), and current transfers received such as social benefits and social transfers in kind.<br><br> Results per consumption unit are obtained by dividing each household’s result by the number of consumption units, reflecting its consumption needs, for example by applying the standard OECD-modified equivalence scale, counting the first adult as 1, any additional people aged 14 and over as 0.5 and all children under 14 as 0.3.<br><br> The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. <br><br> For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>. NonProductionDataflow true HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV LAYOUT_ROW INCOME_GROUP LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION DECIMAL LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,PRICE_BASE,TRANSFORMATION=N,COUNTERPART_AREA=W,ACCOUNTING_ENTRY=_Z,EXPENDITURE=_Z,UNIT_MULT=0,HOUSEHOLD_TYPE=_Z,HOUSEHOLD_OWNERSHIP=_Z,AGE=_Z,SEX=_Z,LABOUR_MARKET_STATUS=_Z,ATTAINMENT_LEV=_Z,MAIN_INCOME_SOURCE=_Z NOT_DISPLAYED REF_AREA=FRA,TIME_PERIOD_START=2016,TIME_PERIOD_END=2016 DEFAULT AGE:OECD.SDD.NAD:HCL_EGDNA_AGE(1.0).H,SEX:OECD.SDD.NAD:HCL_EGDNA_SEX(1.0).H,ATTAINMENT_LEV:OECD.SDD.NAD:HCL_EGDNA_EDUC(1.0).H HIER_CONTEXT COMBINED_SOCDEM_MEASURE:HOUSEHOLD_TYPE,HOUSEHOLD_OWNERSHIP,AGE,SEX,LABOUR_MARKET_STATUS,ATTAINMENT_LEV COMBINED_CONCEPTS COMBINED_SOCDEM_MEASURE:Sociodemographic group COMBINED_SOCDEM_MEASURE:Unité de mesure combinée Population in the National Accounts: distributions of income quintiles by socio-demographic groups This dataset accompanies the tables ‘Household income and saving in the National Accounts: distributions by income quintile’ and ‘Household consumption in the National Accounts: distributions by income quintile’ and presents the number of households, individuals, and consumption units per equivalised disposable income quintile, as well as the sociodemographic characteristics of the households and the individuals in these households in each of the income quintiles. The following socio-demographic breakdowns are shown in the table: the number of households in each quintile by household type and home ownership status; and the number of individuals belonging to the households in each quintile by age, sex, labour market status and education level. <br><br> In this table, households are grouped into income quintiles on the basis of their equivalised disposable income, ranked from lowest to highest, i.e., the first quintile represents the 20% households with the lowest equivalised disposable income and the fifth quintile the 20% households with the highest. Equivalisation means that results for each household have been recalculated on the basis of its consumption needs, in order to produce comparable results across households of different size and composition. <br><br> Results are presented in national currency and as averages per household and per consumption unit (you can choose these from the ‘Unit of measure’ filter). Results per consumption unit are obtained by dividing each household’s result by the number of consumption units, reflecting its consumption needs, for example by applying the standard OECD-modified equivalence scale, counting the first adult as 1, any additional people aged 14 and over as 0.5 and all children under 14 as 0.3.<br><br> The default view of this table is for a single country (‘Reference area’ filter) and single year (‘Time period’ filter). In cases where countries appear to be greyed-out, data may be available for earlier years, and these can be selected by selecting a different start and end year in the ‘Time period’ filter. Users are recommended to select one country at a time to obtain a comprehensive overview of the distributional results for that country for a given period of time. Alternatively, you may select a specific item from one of the socio-demographic breakdowns filters to make cross-country comparisons. <br><br> For more information on the (compilation of) these results, please see the <a href="https://www.oecd.org/sdd/na/household-distributional-results-in-line-with-national-accounts-experimental-statistics.htm"> webpage on household distributional results </a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED FREQ=Q,TIME_PERIOD_START=2015,MEASURE=LES12L_F3AS DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_MEASURE_FIN_DASH(1.0).H HIER_CONTEXT 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_IIH?references=dataflow RELATED_DATA Institutional Investors' Indicators Indicateurs des investisseurs institutionnels The Institutional Investors’ Indicators table shows total financial assets and liabilities of the three types of institutional investor - investment funds, insurance corporations and pension funds - as a percentage of GDP. It also provides a breakdown of the total assets (liabilities) of each type of institutional investor by main financial instrument category: currency and deposits; debt securities; loans; equity and investment fund shares; insurance, pensions and standardised guarantees; financial derivatives and employee stock options; and other accounts receivable/payable. The financial instrument categories are shown as a share (percentage) of the total assets (liabilities) of each type of institutional investor. <br> <br> For investment funds, there is also a breakdown of total assets by type of investment fund: real estate, equity, bond, mixed, hedge and other funds; and a breakdown of total assets and liabilities by whether they belong to money market funds (MMFs) or non-MMFs and to open-ended or closed-ended funds. <br> <br> All the indicators in this dataset are derived from the Institutional Investors' Assets and Liabilities <a href="https://data-explorer.oecd.org/vis?lc=en&fs[0]=Topic%2C1%7CEconomy%23ECO%23%7CNational%20accounts%23ECO_NAD%23&fs[1]=Topic%2C3%7CEconomy%23ECO%23%7CNational%20accounts%23ECO_NAD%23%7CFinancial%20accounts%20and%20balance%20sheets%23ECO_NAD_FBS%23%7CInstitutional%20investors%20and%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20households%23ECO_NAD_FBS_IIH%23&pg=0&fc=Topic&snb=2&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_NASEC20%40DF_T7II_Q&df[ag]=OECD.SDD.NAD&df[vs]=1.0&pd=%2C&dq=Q..AUS..S12L.......XDC......&ly[rw]=INSTR_ASSET%2CCOUNTERPART_SECTOR%2CMATURITY&ly[cl]=TIME_PERIOD&ly[rs]=ACCOUNTING_ENTRY&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS">dataset</a>. Le tableau des indicateurs relatifs aux investisseurs institutionnels présente le total des actifs et passifs financiers des trois types d'investisseurs institutionnels - fonds d'investissement, sociétés d'assurance et fonds de pension - en pourcentage du PIB. Il fournit également une ventilation du total des actifs (passifs) de chaque type d'investisseur institutionnel par grande catégorie d'instruments financiers : numéraire et dépôts ; titres de créance ; prêts ; actions et parts de fonds d'investissement ; assurances, pensions et garanties standardisées ; produits financiers dérivés et options sur actions accordées aux salariés ; et autres comptes à recevoir/à payer. Les catégories d'instruments financiers sont présentées sous forme de part (pourcentage) du total des actifs (passifs) de chaque type d'investisseur institutionnel. <br> <br> Pour les fonds d'investissement, il existe également une ventilation du total des actifs par type de fonds d'investissement : immobilier, actions, obligations, fonds mixtes, fonds spéculatifs et autres fonds ; et une ventilation du total des actifs et des passifs selon qu'ils appartiennent ou non à des fonds monétaires et à des fonds à capital variable ou à capital fixe. <br> <br> Tous les indicateurs de cet ensemble de données sont dérivés du <a href="https://data-explorer.oecd.org/vis?lc=en&fs[0]=Topic%2C1%7CEconomy%23ECO%23%7CNational%20accounts%23ECO_NAD%23&fs[1]=Topic%2C3%7CEconomy%23ECO%23%7CNational%20accounts%23ECO_NAD%23%7CFinancial%20accounts%20and%20balance%20sheets%23ECO_NAD_FBS%23%7CInstitutional%20investors%20and%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20households%23ECO_NAD_FBS_IIH%23&pg=0&fc=Topic&snb=2&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_NASEC20%40DF_T7II_Q&df[ag]=OECD.SDD.NAD&df[vs]=1.0&pd=%2C&dq=Q..AUS..S12L.......XDC......&ly[rw]=INSTR_ASSET%2CCOUNTERPART_SECTOR%2CMATURITY&ly[cl]=TIME_PERIOD&ly[rs]=ACCOUNTING_ENTRY&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS">tableau</a> des actifs et passifs des investisseurs institutionnels. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=LES13_FD3 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_MEASURE_FIN_DASH(1.0).H HIER_CONTEXT 1.00010 SEARCH_WEIGHT Financial Dashboard The financial indicators are based on data compiled according to the 2008 SNA "System of National Accounts, 2008". Many indicators are expressed as a percentage of Gross Domestic Product (GDP) or as a percentage of Gross Disposable Income (GDI) when referring to the Households and NPISHs sector. The definition of GDP and GDI are the following: <br> <br> <u>Gross Domestic Product:</u><br> Gross Domestic Product (GDP) is derived from the concept of value added. Gross value added is the difference of output and intermediate consumption. GDP is the sum of gross value added of all resident producer units plus that part (possibly the total) of taxes on products, less subsidies on products, that is not included in the valuation of output [System of National Accounts, 2008, par. 2.138]. GDP is also equal to the sum of final uses of goods and services (all uses except intermediate consumption) measured at purchasers’ prices, less the value of imports of goods and services [System of National Accounts, 2008, par. 2.139]. GDP is also equal to the sum of primary incomes distributed by producer units [System of National Accounts, 2008, par. 2.140]. <br> <br> <u>Gross Disposable Income:</u><br> Gross Disposable Income (GDI) is equal to net disposable income which is the balancing item of the secondary distribution income account plus the consumption of fixed capital. The use of the Gross Disposable Income (GDI), rather than net disposable income, is preferable for analytical purposes because there are uncertainty and comparability problems with the calculation of consumption of fixed capital. GDI measures the income available to the total economy for final consumption and gross saving [System of National Accounts, 2008, par. 2.145]. <br> <br> <u>Definition of Debt:</u><br> Debt is a commonly used concept, defined as a specific subset of liabilities identified according to the types of financial instruments included or excluded. Generally, debt is defined as all liabilities that require payment or payments of interest or principal by the debtor to the creditor at a date or dates in the future. Consequently, all debt instruments are liabilities, but some liabilities such as shares, equity and financial derivatives are not debt [System of National Accounts, 2008, par. 22.104]. According to the SNA, most debt instruments are valued at market prices. However, some countries do not apply this valuation, in particular for securities other than shares, except financial derivatives (AF33). In this dataset, for financial indicators referring to debt, the concept of debt is the one adopted by the SNA 2008 as well as by the International Monetary Fund in “Public Sector Debt Statistics – Guide for compilers and users” (Pre-publication draft, May 2011). Debt is thus obtained as the sum of the following liability categories, whenever available / applicable in the financial balance sheet of the institutional sector:special drawing rights (AF12), currency and deposits (AF2), debt securities (AF3), loans (AF4), insurance, pension, and standardised guarantees (AF6), and other accounts payable (AF8). This definition differs from the definition of debt applied under the Maastricht Treaty for European countries. First, gross debt according to the Maastricht definition excludes not only financial derivatives and employee stock options (AF7) and equity and investment fund shares (AF5) but also insurance pensions and standardised guarantees (AF6) and other accounts payable (AF8). Second, debt according to Maastricht definition is valued at nominal prices and not at market prices. <br> <br> To view other related indicator datasets, please refer to: <br> Institutional Investors Indicators [add link]<br> Household Dashboard [add link] NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=LES1_BF90 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_MEASURE_FIN_DASH(1.0).H HIER_CONTEXT 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FID?references=dataflow RELATED_DATA Financial indicators dashboard: Total economy Tableau de bord financier : Economie totale This dashboard presents a set of annual financial indicators for the economy as a whole (‘total economy’) and for each institutional sector of the economy: non-financial corporations, financial corporations, general government, households and Non-Profit Institutions Serving Households (NPISH). It provides users with key indicators of the financial health of economies and their sectors. The indicators are calculated from the financial accounts (flows) and balance sheets (stocks), which are compiled in accordance with the 2008 System of National Accounts. The information buttons in the tables provide further details about each of the indicators, including definitions and formulas. Ce tableau de bord présente une série d'indicateurs financiers annuels pour l'économie dans son ensemble ("économie totale") et pour chaque secteur institutionnel de l'économie : sociétés non-financières, sociétés financières, administrations publiques, ménages et institutions sans but lucratif au service des ménages (ISBLSM). Il fournit aux utilisateurs des indicateurs clés de la santé financière des économies et de leurs secteurs. Les indicateurs sont calculés à partir des comptes financiers (flux) et des bilans (stocks), qui sont établis conformément au Système de comptabilité nationale 2008. Les boutons d'information dans les tableaux fournissent des détails supplémentaires sur chacun des indicateurs, y compris les définitions et les formules. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=LES11_BF90 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_MEASURE_FIN_DASH(1.0).H HIER_CONTEXT 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FID?references=dataflow RELATED_DATA Financial indicators dashboard: Non-financial corporations Tableau de bord financier : Sociétés non-financières This dashboard presents a set of annual financial indicators for the economy as a whole (‘total economy’) and for each institutional sector of the economy: non-financial corporations, financial corporations, general government, households and Non-Profit Institutions Serving Households (NPISH). It provides users with key indicators of the financial health of economies and their sectors. The indicators are calculated from the financial accounts (flows) and balance sheets (stocks), which are compiled in accordance with the 2008 System of National Accounts. The information buttons in the tables provide further details about each of the indicators, including definitions and formulas. <br> <br> For indicators of debt, the measure used is the broadest measure of debt which may include the following financial liabilities (although coverage varies by sector and by country): Special Drawing Rights, currency and deposits, debt securities (at market value), loans, insurance, pensions and standardised guarantees, and other accounts payable. As financial liability coverage varies between countries, users should proceed with caution when comparing different countries. <br> <br> This table is on a non-consolidated basis, meaning that it shows all assets and liabilities of units in a sector without removing counterpart assets and liabilities of units within the same sector. The exception is data for Australia and Israel which is on a consolidated basis, meaning that counterpart assets and liabilities of units within the same sector have been removed. Ce tableau de bord présente une série d'indicateurs financiers annuels pour l'économie dans son ensemble ("économie totale") et pour chaque secteur institutionnel de l'économie : sociétés non-financières, sociétés financières, administrations publiques, ménages et institutions sans but lucratif au service des ménages (ISBLSM). Il fournit aux utilisateurs des indicateurs clés de la santé financière des économies et de leurs secteurs. Les indicateurs sont calculés à partir des comptes financiers (flux) et des bilans (stocks), qui sont établis conformément au Système de comptabilité nationale 2008. Les boutons d'information dans les tableaux fournissent des détails supplémentaires sur chaque indicateur, y compris les définitions et les formules. <br> <br> Pour les indicateurs de dette, la mesure utilisée est la mesure la plus large de la dette, qui peut inclure les passifs financiers suivants (bien que la couverture varie selon le secteur et le pays) : Droits de tirage spéciaux, devises et dépôts, titres de créance (à la valeur de marché), prêts, assurances, pensions et garanties standardisées, et autres comptes à payer. La couverture des engagements financiers variant d'un pays à l'autre, les utilisateurs doivent faire preuve de prudence lorsqu'ils comparent différents pays. <br> <br> Ce tableau est non-consolidé, ce qui signifie qu'il présente tous les actifs et passifs des unités d'un secteur sans retirer les actifs et passifs de contrepartie des unités du même secteur. L'exception concerne les données de l'Australie et Israël qui sont consolidées, ce qui signifie que les actifs et passifs de contrepartie des unités au sein du même secteur ont été supprimés. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=LES12_BF90 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_MEASURE_FIN_DASH(1.0).H HIER_CONTEXT 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FID?references=dataflow RELATED_DATA Financial indicators dashboard: Financial corporations Tableau de bord financier : Sociétés financières This dashboard presents a set of annual financial indicators for the economy as a whole (‘total economy’) and for each institutional sector of the economy: non-financial corporations, financial corporations, general government, households and Non-Profit Institutions Serving Households (NPISH). It provides users with key indicators of the financial health of economies and their sectors. The indicators are calculated from the financial accounts (flows) and balance sheets (stocks), which are compiled in accordance with the 2008 System of National Accounts. The information buttons in the tables provide further details about each of the indicators, including definitions and formulas. <br> <br> For indicators of debt, the measure used is the broadest measure of debt which may include the following financial liabilities (although coverage varies by sector and by country): Special Drawing Rights, currency and deposits, debt securities (at market value), loans, insurance, pensions and standardised guarantees, and other accounts payable. As financial liability coverage varies between countries, users should proceed with caution when comparing different countries. <br> <br> This table is on a non-consolidated basis, meaning that it shows all assets and liabilities of units in a sector without removing counterpart assets and liabilities of units within the same sector. The exception is data for Australia and Israel which is on a consolidated basis, meaning that counterpart assets and liabilities of units within the same sector have been removed. Ce tableau de bord présente une série d'indicateurs financiers annuels pour l'économie dans son ensemble ("économie totale") et pour chaque secteur institutionnel de l'économie : sociétés non-financières, sociétés financières, administrations publiques, ménages et institutions sans but lucratif au service des ménages (ISBLSM). Il fournit aux utilisateurs des indicateurs clés de la santé financière des économies et de leurs secteurs. Les indicateurs sont calculés à partir des comptes financiers (flux) et des bilans (stocks), qui sont établis conformément au Système de comptabilité nationale 2008. Les boutons d'information dans les tableaux fournissent des détails supplémentaires sur chaque indicateur, y compris les définitions et les formules. <br> <br> Pour les indicateurs de dette, la mesure utilisée est la mesure la plus large de la dette, qui peut inclure les passifs financiers suivants (bien que la couverture varie selon le secteur et le pays) : Droits de tirage spéciaux, devises et dépôts, titres de créance (à la valeur de marché), prêts, assurances, pensions et garanties standardisées, et autres comptes à payer. La couverture des engagements financiers variant d'un pays à l'autre, les utilisateurs doivent faire preuve de prudence lorsqu'ils comparent différents pays. <br> <br> Ce tableau est non-consolidé, ce qui signifie qu'il présente tous les actifs et passifs des unités d'un secteur sans retirer les actifs et passifs de contrepartie des unités du même secteur. L'exception concerne les données de l'Australie et Israël qui sont consolidées, ce qui signifie que les actifs et passifs de contrepartie des unités au sein du même secteur ont été supprimés. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=LES13_BF90 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_MEASURE_FIN_DASH(1.0).H HIER_CONTEXT 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FID?references=dataflow RELATED_DATA Financial indicators dashboard: Government Tableau de bord financier : Gouvernement This dashboard presents a set of annual financial indicators for the economy as a whole (‘total economy’) and for each institutional sector of the economy: non-financial corporations, financial corporations, general government, households and Non-Profit Institutions Serving Households (NPISH). It provides users with key indicators of the financial health of economies and their sectors. The indicators are calculated from the financial accounts (flows) and balance sheets (stocks), which are compiled in accordance with the 2008 System of National Accounts. The information buttons in the tables provide further details about each of the indicators, including definitions and formulas. <br> <br> For indicators of debt, the measure used is the broadest measure of debt which may include the following financial liabilities (although coverage varies by sector and by country): Special Drawing Rights, currency and deposits, debt securities (at market value), loans, insurance, pensions and standardised guarantees, and other accounts payable. The ‘adjusted’ measure of debt – as well as of net financial worth – excludes unfunded pension liabilities. As financial liability coverage varies between countries, users should proceed with caution when comparing different countries. <br> <br> This table is on a consolidated basis, meaning that counterpart assets and liabilities of units within the same sector are removed. The exception is data for Chile, Colombia, Korea and Mexico which is on a non-consolidated basis, meaning that it shows all assets and liabilities of units in a sector without removing counterpart assets and liabilities of units within the same sector. Ce tableau de bord présente une série d'indicateurs financiers annuels pour l'ensemble de l'économie ("économie totale") et pour chaque secteur institutionnel de l'économie : sociétés non-financières, sociétés financières, administrations publiques, ménages et institutions sans but lucratif au service des ménages (ISBLSM). Il fournit aux utilisateurs des indicateurs clés de la santé financière des économies et de leurs secteurs. Les indicateurs sont calculés à partir des comptes financiers (flux) et des bilans (stocks), qui sont établis conformément au Système de comptabilité nationale 2008. Les boutons d'information dans les tableaux fournissent des détails supplémentaires sur chaque indicateur, y compris les définitions et les formules. <br> <br> Pour les indicateurs de dette, la mesure utilisée est la mesure la plus large de la dette, qui peut inclure les passifs financiers suivants (bien que la couverture varie selon le secteur et le pays) : Droits de tirage spéciaux, devises et dépôts, titres de créance (à la valeur de marché), prêts, assurances, pensions et garanties standardisées, et autres comptes à payer. La mesure "ajustée" de la dette - ainsi que la valeur financière nette - exclut les engagements de retraite non financés. La couverture des engagements financiers variant d'un pays à l'autre, les utilisateurs doivent faire preuve de prudence lorsqu'ils comparent différents pays. <br> <br> Ce tableau est consolidé, ce qui signifie que les actifs et passifs de contrepartie des unités du même secteur sont supprimés. Les données du Chili, de la Colombie, de la Corée et du Mexique font exception et sont non-consolidées, c'est-à-dire qu'elles montrent tous les actifs et passifs des unités d'un secteur sans retirer les actifs et passifs de contrepartie des unités du même secteur. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=LES1M_BF90 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_MEASURE_FIN_DASH(1.0).H HIER_CONTEXT 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FID?references=dataflow RELATED_DATA Financial indicators dashboard: Households and NPISH Tableau de bord financier : Ménages et ISBLSM This dashboard presents a set of annual financial indicators for the economy as a whole (‘total economy’) and for each institutional sector of the economy: non-financial corporations, financial corporations, general government, households and Non-Profit Institutions Serving Households (NPISH). It provides users with key indicators of the financial health of economies and their sectors. The indicators are calculated from the financial accounts (flows) and balance sheets (stocks), which are compiled in accordance with the 2008 System of National Accounts. The information buttons in the tables provide further details about each of the indicators, including definitions and formulas. <br> <br> For indicators of debt, the measure used is the broadest measure of debt which may include the following financial liabilities (although coverage varies by sector and by country): Special Drawing Rights, currency and deposits, debt securities (at market value), loans, insurance, pensions and standardised guarantees, and other accounts payable. As financial liability coverage varies between countries, users should proceed with caution when comparing different countries. Ce tableau de bord présente une série d'indicateurs financiers annuels pour l'économie dans son ensemble ("économie totale") et pour chaque secteur institutionnel de l'économie : sociétés non-financières, sociétés financières, administrations publiques, ménages et institutions sans but lucratif au service des ménages (ISBLSM). Il fournit aux utilisateurs des indicateurs clés de la santé financière des économies et de leurs secteurs. Les indicateurs sont calculés à partir des comptes financiers (flux) et des bilans (stocks), qui sont établis conformément au Système de comptabilité nationale 2008. Les boutons d'information dans les tableaux fournissent des détails supplémentaires sur chacun des indicateurs, y compris les définitions et les formules. <br> <br> Pour les indicateurs de la dette, la mesure utilisée est la mesure la plus large de la dette qui peut inclure les passifs financiers suivants (bien que la couverture varie selon le secteur et le pays) : Droits de tirage spéciaux, devises et dépôts, titres de créance (à la valeur de marché), prêts, assurances, pensions et garanties standardisées, et autres comptes à payer. La couverture des engagements financiers variant d'un pays à l'autre, les utilisateurs doivent faire preuve de prudence lorsqu'ils comparent différents pays. NonProductionDataflow true MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION TRANSFORMATION=N+IX,OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT,ADJUSTMENT=N NOT_DISPLAYED FREQ=Q,REF_AREA=DEU,LASTNPERIODS=10 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,PRICE_BASE,ADJUSTMENT, COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_HHDASH@DF_HHDASH_INDIC,DSD_NASEC1@DF_QSA_EMPLOYMENT,DSD_NASEC1@DF_QSA_TRANSACTIONS_C,DSD_NASEC1@DF_QSA_TRANSACTIONS_D,DSD_NASEC1@DF_QSA/latest RELATED_DATA Household indicators dashboard – country view Tableau de bord sur les ménages – vue par pays This table presents a set of selected quarterly indicators highlighting people’s economic well-being. It includes the following indicators (or measures) for households and Non Profit Institutions Serving Households (NPISH): real gross disposable income per capita, real final consumption expenditure per capita, the gross savings rate, net cash transfers to households and NPISH, debt and net financial worth. Some other indicators that are relevant for people and households are also provided: real gross domestic product (GDP) per capita, consumer confidence, the unemployment rate and the labour underutilisation rate. <br><br>The table shows OECD countries, as well as the OECD total, G7, European Union and euro area. Data is presented on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. <br><br>See also the visualisation tool: <a href="https://www.oecd.org/sdd/na/household-dashboard.htm"> Households' economic well-being: the OECD dashboard</a> <br><br>These indicators were presented in the previous dissemination system in the HHDASH dataset. The mapping table between old OECD.Stat and new OECD Data Explorer codes is available <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21ec29c1-6f17-4f76-a874-6cb2c007acd8">here</a>. <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> <br><br>Date of last data update: February 11, 2025 Ce tableau présente une série d'indicateurs trimestriels sélectionnés pour mettre en évidence le bien-être économique des personnes. Il comprend les indicateurs (ou mesures) suivants pour les ménages et les Institutions Sans But Lucratif au Service des Ménages (ISBLSM) : le revenu disponible brut réel par habitant, les dépenses de consommation finale réelles par habitant, le taux d'épargne brut, les transferts nets en espèces aux ménages et aux ISBLSM, l'endettement et la valeur financière nette. Quelques autres indicateurs pertinents pour les personnes et les ménages sont également fournis : le produit intérieur brut (PIB) réel par habitant, la confiance des consommateurs, le taux de chômage et le taux de sous-utilisation de la main-d'œuvre. <br><br>Le tableau présente les pays de l'OCDE, ainsi que l'OCDE total, le G7, l'Union européenne et la zone euro. Les données sont présentées pays par pays. Il est recommandé aux utilisateurs de sélectionner un seul pays (ou zone) à la fois dans le filtre "Zone de référence". <br><br>Voir aussi l'outil de visualisation : <a href="https://www.oecd.org/sdd/na/household-dashboard.htm">Le bien-être économique des ménages : le tableau de bord de l'OCDE</a> <br><br> Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données HHDASH. Le tableau de correspondance entre l’ancien OCDE.Stat et le nouvel Explorateur de données de l’OCDE est disponible <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21ec29c1-6f17-4f76-a874-6cb2c007acd8">ici</a>. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> <br><br>Date de la dernière mise à jour des données : 11 février 2025 NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION TRANSFORMATION=N+IX,OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT,ADJUSTMENT=N NOT_DISPLAYED MEASURE=P3S1M_R_POP_GR,FREQ=Q,LASTNPERIODS=10 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,PRICE_BASE,ADJUSTMENT, COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_HHDASH@DF_HHDASH_CTRY,DSD_NASEC1@DF_QSA_EMPLOYMENT,DSD_NASEC1@DF_QSA_TRANSACTIONS_C,DSD_NASEC1@DF_QSA_TRANSACTIONS_D,DSD_NASEC1@DF_QSA/latest RELATED_DATA Household indicators dashboard – indicator view Tableau de bord sur les ménages – vue par indicateur This table presents a set of selected quarterly indicators highlighting people’s economic well-being. It includes the following indicators (or measures) for households and Non Profit Institutions Serving Households (NPISH): real gross disposable income per capita, real final consumption expenditure per capita, the gross savings rate, net cash transfers to households and NPISH, debt and net financial worth. Some other indicators that are relevant for people and households are also provided: real gross domestic product (GDP) per capita, consumer confidence, the unemployment rate and the labour underutilisation rate. <br><br>The table shows OECD countries, as well as the OECD total, G7, European Union and euro area. Data is presented on an indicator-by-indicator basis. Users are recommended to select one indicator at a time in the ‘Measure’ filter. <br><br>See also the visualisation tool: <a href="https://www.oecd.org/sdd/na/household-dashboard.htm"> Households' economic well-being: the OECD dashboard</a> <br><br>These indicators were presented in the previous dissemination system in the HHDASH dataset. The mapping table between old OECD.Stat and new OECD Data Explorer codes is available <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21ec29c1-6f17-4f76-a874-6cb2c007acd8">here</a>. <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> <br><br>Date of last data update: February 11, 2025 Ce tableau présente une série d'indicateurs trimestriels sélectionnés pour mettre en évidence le bien-être économique des personnes. Il comprend les indicateurs (ou mesures) suivants pour les ménages et les Institutions Sans But Lucratif au Service des Ménages (ISBLSM) : le revenu disponible brut réel par habitant, les dépenses de consommation finale réelles par habitant, le taux d'épargne brut, les transferts nets en espèces aux ménages et aux ISBLSM, l'endettement et la valeur financière nette. Quelques autres indicateurs pertinents pour les personnes et les ménages sont également fournis : le produit intérieur brut (PIB) réel par habitant, la confiance des consommateurs, le taux de chômage et le taux de sous-utilisation de la main-d'œuvre. <br><br>Le tableau présente les pays de l'OCDE, ainsi que l'OCDE total, le G7, l'Union européenne et la zone euro. Les données sont présentées indicateur par indicateur. Il est recommandé aux utilisateurs de sélectionner un indicateur à la fois dans le filtre "Mesure". <br><br>Voir aussi l'outil de visualisation : <a href="https://www.oecd.org/sdd/na/household-dashboard.htm">Le bien-être économique des ménages : le tableau de bord de l'OCDE</a> <br><br> Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données HHDASH. Le tableau de correspondance entre l’ancien OCDE.Stat et le nouvel Explorateur de données de l’OCDE est disponible <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21ec29c1-6f17-4f76-a874-6cb2c007acd8">ici</a>. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> <br><br>Date de la dernière mise à jour des données : 11 février 2025 NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE CHAPTER,UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,TRANSFORMATION=N NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,TIME_PERIOD_START=2000,MEASURE=B1GQ DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00000 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/all/ECO.ECO_NAD.ECO_NAD_GNF.ECO_NAD_GNF_NAT?references=dataflow RELATED_DATA NAAG NAAG NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE CHAPTER,UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,TRANSFORMATION=N NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,TIME_PERIOD_START=2000,MEASURE=B1GQ_R_GR DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_NAAG_CHAPTER1(1.0).H HIER_CONTEXT 1.00100 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/all/ECO.ECO_NAD.ECO_NAD_GNF.ECO_NAD_GNF_NAT?references=dataflow RELATED_DATA NAAG Chapitre 1: PIB NAAG Chapter 1: GDP Le Panorama des comptes nationaux est basé sur la publication originale et comporte neuf chapitres : Le premier chapitre est consacré aux indicateurs du produit intérieur brut (PIB). Le deuxième chapitre porte sur les revenus et les indicateurs connexes et présente des mesures du revenu national net, de l'épargne et de la capacité/besoin de financement. Le troisième chapitre examine l'approche du PIB par les dépenses, avec des informations sur les composantes clés de la demande et des importations. Le quatrième chapitre présente les indicateurs du point de vue de la production. Le cinquième chapitre examine les indicateurs du secteur des ménages, tels que le revenu disponible des ménages, l'épargne et la richesse nette. Le sixième chapitre est consacré aux administrations publiques et présente des indicateurs tels que les recettes, les dépenses et la dette brute des administrations publiques. Le septième chapitre porte sur les sociétés financières et non financières. Le huitième chapitre présente des indicateurs du stock de capital et de la dépréciation. Enfin, le chapitre 9 fournit des indicateurs de référence, importants en soi mais aussi parce qu'ils sont utilisés dans la construction de nombreux indicateurs présentés ailleurs dans le Panorama. The National Accounts at a Glance (NAAG) is based on the original publication and has nine chapters: The first chapter focuses on indicators of Gross Domestic Product (GDP). The second is about income and related indicators and presents measures of net national income, savings and net lending/net borrowing. The third chapter looks at the expenditure approach to GDP, with information on the key components of demand and imports. The fourth chapter presents indicators from a production perspective. The fifth chapter looks at household sector indicators such as household disposable income, saving and net worth. The sixth chapter focuses on general government, presenting indicators such as general government revenue, expenditure and gross debt. The seventh chapter looks at financial and non-financial corporations. The eighth chapter presents indicators of capital stock and depreciation. Finally, chapter 9 provides reference indicators, important in their own right but also because they are used in the construction of many of the indicators presented elsewhere in NAAG. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE CHAPTER,UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,TRANSFORMATION=N+IX NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,TIME_PERIOD_START=2000,MEASURE=B5N_R_GR DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_NAAG_CHAPTER2(1.0).H HIER_CONTEXT 1.00020 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/all/ECO.ECO_NAD.ECO_NAD_GNF.ECO_NAD_GNF_NAT?references=dataflow RELATED_DATA NAAG Chapitre 2: Revenus NAAG Chapter 2: Income Le Panorama des comptes nationaux est basé sur la publication originale et comporte neuf chapitres : Le premier chapitre est consacré aux indicateurs du produit intérieur brut (PIB). Le deuxième chapitre porte sur les revenus et les indicateurs connexes et présente des mesures du revenu national net, de l'épargne et de la capacité/besoin de financement. Le troisième chapitre examine l'approche du PIB par les dépenses, avec des informations sur les composantes clés de la demande et des importations. Le quatrième chapitre présente les indicateurs du point de vue de la production. Le cinquième chapitre examine les indicateurs du secteur des ménages, tels que le revenu disponible des ménages, l'épargne et la richesse nette. Le sixième chapitre est consacré aux administrations publiques et présente des indicateurs tels que les recettes, les dépenses et la dette brute des administrations publiques. Le septième chapitre porte sur les sociétés financières et non financières. Le huitième chapitre présente des indicateurs du stock de capital et de la dépréciation. Enfin, le chapitre 9 fournit des indicateurs de référence, importants en soi mais aussi parce qu'ils sont utilisés dans la construction de nombreux indicateurs présentés ailleurs dans le Panorama. The National Accounts at a Glance (NAAG) is based on the original publication and has nine chapters: The first chapter focuses on indicators of Gross Domestic Product (GDP). The second is about income and related indicators and presents measures of net national income, savings and net lending/net borrowing. The third chapter looks at the expenditure approach to GDP, with information on the key components of demand and imports. The fourth chapter presents indicators from a production perspective. The fifth chapter looks at household sector indicators such as household disposable income, saving and net worth. The sixth chapter focuses on general government, presenting indicators such as general government revenue, expenditure and gross debt. The seventh chapter looks at financial and non-financial corporations. The eighth chapter presents indicators of capital stock and depreciation. Finally, chapter 9 provides reference indicators, important in their own right but also because they are used in the construction of many of the indicators presented elsewhere in NAAG. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE CHAPTER,UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,TRANSFORMATION=N NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,TIME_PERIOD_START=2000,MEASURE=P3S1M_GR DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_NAAG_CHAPTER3(1.0).H HIER_CONTEXT 1.00020 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/all/ECO.ECO_NAD.ECO_NAD_GNF.ECO_NAD_GNF_NAT?references=dataflow RELATED_DATA NAAG Chapitre 3: Dépenses NAAG Chapter 3: Expenditure Le Panorama des comptes nationaux est basé sur la publication originale et comporte neuf chapitres : Le premier chapitre est consacré aux indicateurs du produit intérieur brut (PIB). Le deuxième chapitre porte sur les revenus et les indicateurs connexes et présente des mesures du revenu national net, de l'épargne et de la capacité/besoin de financement. Le troisième chapitre examine l'approche du PIB par les dépenses, avec des informations sur les composantes clés de la demande et des importations. Le quatrième chapitre présente les indicateurs du point de vue de la production. Le cinquième chapitre examine les indicateurs du secteur des ménages, tels que le revenu disponible des ménages, l'épargne et la richesse nette. Le sixième chapitre est consacré aux administrations publiques et présente des indicateurs tels que les recettes, les dépenses et la dette brute des administrations publiques. Le septième chapitre porte sur les sociétés financières et non financières. Le huitième chapitre présente des indicateurs du stock de capital et de la dépréciation. Enfin, le chapitre 9 fournit des indicateurs de référence, importants en soi mais aussi parce qu'ils sont utilisés dans la construction de nombreux indicateurs présentés ailleurs dans le Panorama. The National Accounts at a Glance (NAAG) is based on the original publication and has nine chapters: The first chapter focuses on indicators of Gross Domestic Product (GDP). The second is about income and related indicators and presents measures of net national income, savings and net lending/net borrowing. The third chapter looks at the expenditure approach to GDP, with information on the key components of demand and imports. The fourth chapter presents indicators from a production perspective. The fifth chapter looks at household sector indicators such as household disposable income, saving and net worth. The sixth chapter focuses on general government, presenting indicators such as general government revenue, expenditure and gross debt. The seventh chapter looks at financial and non-financial corporations. The eighth chapter presents indicators of capital stock and depreciation. Finally, chapter 9 provides reference indicators, important in their own right but also because they are used in the construction of many of the indicators presented elsewhere in NAAG. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE CHAPTER,UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,TRANSFORMATION=N NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,TIME_PERIOD_START=2000,MEASURE=P3S1M_CG DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_NAAG_CHAPTER3_CG(1.0).H HIER_CONTEXT 1.00020 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/all/ECO.ECO_NAD.ECO_NAD_GNF.ECO_NAD_GNF_NAT?references=dataflow RELATED_DATA NAAG Chapitre 3A: Composantes de la demande globale NAAG Chapter 3A: Components of aggregate demand Le Panorama des comptes nationaux est basé sur la publication originale et comporte neuf chapitres : Le premier chapitre est consacré aux indicateurs du produit intérieur brut (PIB). Le deuxième chapitre porte sur les revenus et les indicateurs connexes et présente des mesures du revenu national net, de l'épargne et de la capacité/besoin de financement. Le troisième chapitre examine l'approche du PIB par les dépenses, avec des informations sur les composantes clés de la demande et des importations. Le quatrième chapitre présente les indicateurs du point de vue de la production. Le cinquième chapitre examine les indicateurs du secteur des ménages, tels que le revenu disponible des ménages, l'épargne et la richesse nette. Le sixième chapitre est consacré aux administrations publiques et présente des indicateurs tels que les recettes, les dépenses et la dette brute des administrations publiques. Le septième chapitre porte sur les sociétés financières et non financières. Le huitième chapitre présente des indicateurs du stock de capital et de la dépréciation. Enfin, le chapitre 9 fournit des indicateurs de référence, importants en soi mais aussi parce qu'ils sont utilisés dans la construction de nombreux indicateurs présentés ailleurs dans le Panorama. The National Accounts at a Glance (NAAG) is based on the original publication and has nine chapters: The first chapter focuses on indicators of Gross Domestic Product (GDP). The second is about income and related indicators and presents measures of net national income, savings and net lending/net borrowing. The third chapter looks at the expenditure approach to GDP, with information on the key components of demand and imports. The fourth chapter presents indicators from a production perspective. The fifth chapter looks at household sector indicators such as household disposable income, saving and net worth. The sixth chapter focuses on general government, presenting indicators such as general government revenue, expenditure and gross debt. The seventh chapter looks at financial and non-financial corporations. The eighth chapter presents indicators of capital stock and depreciation. Finally, chapter 9 provides reference indicators, important in their own right but also because they are used in the construction of many of the indicators presented elsewhere in NAAG. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE CHAPTER,UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,TRANSFORMATION=N NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,TIME_PERIOD_START=2000,MEASURE=P51G DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_NAAG_CHAPTER3_GFCF(1.0).H HIER_CONTEXT 1.00020 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/all/ECO.ECO_NAD.ECO_NAD_GNF.ECO_NAD_GNF_NAT?references=dataflow RELATED_DATA NAAG Chapitre 3B: Formation brute de capital fixe par type d'actifs NAAG Chapter 3B: Gross fixed capital formation by asset type Le Panorama des comptes nationaux est basé sur la publication originale et comporte neuf chapitres : Le premier chapitre est consacré aux indicateurs du produit intérieur brut (PIB). Le deuxième chapitre porte sur les revenus et les indicateurs connexes et présente des mesures du revenu national net, de l'épargne et de la capacité/besoin de financement. Le troisième chapitre examine l'approche du PIB par les dépenses, avec des informations sur les composantes clés de la demande et des importations. Le quatrième chapitre présente les indicateurs du point de vue de la production. Le cinquième chapitre examine les indicateurs du secteur des ménages, tels que le revenu disponible des ménages, l'épargne et la richesse nette. Le sixième chapitre est consacré aux administrations publiques et présente des indicateurs tels que les recettes, les dépenses et la dette brute des administrations publiques. Le septième chapitre porte sur les sociétés financières et non financières. Le huitième chapitre présente des indicateurs du stock de capital et de la dépréciation. Enfin, le chapitre 9 fournit des indicateurs de référence, importants en soi mais aussi parce qu'ils sont utilisés dans la construction de nombreux indicateurs présentés ailleurs dans le Panorama. The National Accounts at a Glance (NAAG) is based on the original publication and has nine chapters: The first chapter focuses on indicators of Gross Domestic Product (GDP). The second is about income and related indicators and presents measures of net national income, savings and net lending/net borrowing. The third chapter looks at the expenditure approach to GDP, with information on the key components of demand and imports. The fourth chapter presents indicators from a production perspective. The fifth chapter looks at household sector indicators such as household disposable income, saving and net worth. The sixth chapter focuses on general government, presenting indicators such as general government revenue, expenditure and gross debt. The seventh chapter looks at financial and non-financial corporations. The eighth chapter presents indicators of capital stock and depreciation. Finally, chapter 9 provides reference indicators, important in their own right but also because they are used in the construction of many of the indicators presented elsewhere in NAAG. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE CHAPTER,UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,TRANSFORMATION=N NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,TIME_PERIOD_START=2000,MEASURE=EXC_A DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_NAAG_CHAPTER9(1.0).H HIER_CONTEXT 1.00020 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/all/ECO.ECO_NAD.ECO_NAD_GNF.ECO_NAD_GNF_NAT?references=dataflow RELATED_DATA NAAG Chapitre 9: Séries de référence NAAG Chapter 9: Reference Series Le Panorama des comptes nationaux est basé sur la publication originale et comporte neuf chapitres : Le premier chapitre est consacré aux indicateurs du produit intérieur brut (PIB). Le deuxième chapitre porte sur les revenus et les indicateurs connexes et présente des mesures du revenu national net, de l'épargne et de la capacité/besoin de financement. Le troisième chapitre examine l'approche du PIB par les dépenses, avec des informations sur les composantes clés de la demande et des importations. Le quatrième chapitre présente les indicateurs du point de vue de la production. Le cinquième chapitre examine les indicateurs du secteur des ménages, tels que le revenu disponible des ménages, l'épargne et la richesse nette. Le sixième chapitre est consacré aux administrations publiques et présente des indicateurs tels que les recettes, les dépenses et la dette brute des administrations publiques. Le septième chapitre porte sur les sociétés financières et non financières. Le huitième chapitre présente des indicateurs du stock de capital et de la dépréciation. Enfin, le chapitre 9 fournit des indicateurs de référence, importants en soi mais aussi parce qu'ils sont utilisés dans la construction de nombreux indicateurs présentés ailleurs dans le Panorama. The National Accounts at a Glance (NAAG) is based on the original publication and has nine chapters: The first chapter focuses on indicators of Gross Domestic Product (GDP). The second is about income and related indicators and presents measures of net national income, savings and net lending/net borrowing. The third chapter looks at the expenditure approach to GDP, with information on the key components of demand and imports. The fourth chapter presents indicators from a production perspective. The fifth chapter looks at household sector indicators such as household disposable income, saving and net worth. The sixth chapter focuses on general government, presenting indicators such as general government revenue, expenditure and gross debt. The seventh chapter looks at financial and non-financial corporations. The eighth chapter presents indicators of capital stock and depreciation. Finally, chapter 9 provides reference indicators, important in their own right but also because they are used in the construction of many of the indicators presented elsewhere in NAAG. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE CHAPTER,UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,TRANSFORMATION=N NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,TIME_PERIOD_START=2000,MEASURE=B6GS1M_POP DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_NAAG_CHAPTER5(1.0).H HIER_CONTEXT 1.00020 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/all/ECO.ECO_NAD.ECO_NAD_GNF.ECO_NAD_GNF_NAT?references=dataflow RELATED_DATA NAAG Chapitre 5: Ménages NAAG Chapter 5: Households Le Panorama des comptes nationaux est basé sur la publication originale et comporte neuf chapitres : Le premier chapitre est consacré aux indicateurs du produit intérieur brut (PIB). Le deuxième chapitre porte sur les revenus et les indicateurs connexes et présente des mesures du revenu national net, de l'épargne et de la capacité/besoin de financement. Le troisième chapitre examine l'approche du PIB par les dépenses, avec des informations sur les composantes clés de la demande et des importations. Le quatrième chapitre présente les indicateurs du point de vue de la production. Le cinquième chapitre examine les indicateurs du secteur des ménages, tels que le revenu disponible des ménages, l'épargne et la richesse nette. Le sixième chapitre est consacré aux administrations publiques et présente des indicateurs tels que les recettes, les dépenses et la dette brute des administrations publiques. Le septième chapitre porte sur les sociétés financières et non financières. Le huitième chapitre présente des indicateurs du stock de capital et de la dépréciation. Enfin, le chapitre 9 fournit des indicateurs de référence, importants en soi mais aussi parce qu'ils sont utilisés dans la construction de nombreux indicateurs présentés ailleurs dans le Panorama. The National Accounts at a Glance (NAAG) is based on the original publication and has nine chapters: The first chapter focuses on indicators of Gross Domestic Product (GDP). The second is about income and related indicators and presents measures of net national income, savings and net lending/net borrowing. The third chapter looks at the expenditure approach to GDP, with information on the key components of demand and imports. The fourth chapter presents indicators from a production perspective. The fifth chapter looks at household sector indicators such as household disposable income, saving and net worth. The sixth chapter focuses on general government, presenting indicators such as general government revenue, expenditure and gross debt. The seventh chapter looks at financial and non-financial corporations. The eighth chapter presents indicators of capital stock and depreciation. Finally, chapter 9 provides reference indicators, important in their own right but also because they are used in the construction of many of the indicators presented elsewhere in NAAG. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE CHAPTER,UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,TRANSFORMATION=N NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,TIME_PERIOD_START=2000,MEASURE=LES11_FD4_B2G DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_NAAG_CHAPTER7(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA 1.00020 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/all/ECO.ECO_NAD.ECO_NAD_GNF.ECO_NAD_GNF_NAT?references=dataflow RELATED_DATA NAAG Chapitre 7: Sociétés NAAG Chapter 7: Corporations Le Panorama des comptes nationaux est basé sur la publication originale et comporte neuf chapitres : Le premier chapitre est consacré aux indicateurs du produit intérieur brut (PIB). Le deuxième chapitre porte sur les revenus et les indicateurs connexes et présente des mesures du revenu national net, de l'épargne et de la capacité/besoin de financement. Le troisième chapitre examine l'approche du PIB par les dépenses, avec des informations sur les composantes clés de la demande et des importations. Le quatrième chapitre présente les indicateurs du point de vue de la production. Le cinquième chapitre examine les indicateurs du secteur des ménages, tels que le revenu disponible des ménages, l'épargne et la richesse nette. Le sixième chapitre est consacré aux administrations publiques et présente des indicateurs tels que les recettes, les dépenses et la dette brute des administrations publiques. Le septième chapitre porte sur les sociétés financières et non financières. Le huitième chapitre présente des indicateurs du stock de capital et de la dépréciation. Enfin, le chapitre 9 fournit des indicateurs de référence, importants en soi mais aussi parce qu'ils sont utilisés dans la construction de nombreux indicateurs présentés ailleurs dans le Panorama. The National Accounts at a Glance (NAAG) is based on the original publication and has nine chapters: The first chapter focuses on indicators of Gross Domestic Product (GDP). The second is about income and related indicators and presents measures of net national income, savings and net lending/net borrowing. The third chapter looks at the expenditure approach to GDP, with information on the key components of demand and imports. The fourth chapter presents indicators from a production perspective. The fifth chapter looks at household sector indicators such as household disposable income, saving and net worth. The sixth chapter focuses on general government, presenting indicators such as general government revenue, expenditure and gross debt. The seventh chapter looks at financial and non-financial corporations. The eighth chapter presents indicators of capital stock and depreciation. Finally, chapter 9 provides reference indicators, important in their own right but also because they are used in the construction of many of the indicators presented elsewhere in NAAG. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE CHAPTER,UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,TRANSFORMATION=N NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,TIME_PERIOD_START=2000,MEASURE=LE_N11N DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,REF_PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_NAAG_CHAPTER8(1.0).H HIER_CONTEXT 1.00020 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/all/ECO.ECO_NAD.ECO_NAD_GNF.ECO_NAD_GNF_NAT?references=dataflow RELATED_DATA NAAG Chapitre 8: Capital NAAG Chapter 8: Capital Le Panorama des comptes nationaux est basé sur la publication originale et comporte neuf chapitres : Le premier chapitre est consacré aux indicateurs du produit intérieur brut (PIB). Le deuxième chapitre porte sur les revenus et les indicateurs connexes et présente des mesures du revenu national net, de l'épargne et de la capacité/besoin de financement. Le troisième chapitre examine l'approche du PIB par les dépenses, avec des informations sur les composantes clés de la demande et des importations. Le quatrième chapitre présente les indicateurs du point de vue de la production. Le cinquième chapitre examine les indicateurs du secteur des ménages, tels que le revenu disponible des ménages, l'épargne et la richesse nette. Le sixième chapitre est consacré aux administrations publiques et présente des indicateurs tels que les recettes, les dépenses et la dette brute des administrations publiques. Le septième chapitre porte sur les sociétés financières et non financières. Le huitième chapitre présente des indicateurs du stock de capital et de la dépréciation. Enfin, le chapitre 9 fournit des indicateurs de référence, importants en soi mais aussi parce qu'ils sont utilisés dans la construction de nombreux indicateurs présentés ailleurs dans le Panorama. The National Accounts at a Glance (NAAG) is based on the original publication and has nine chapters: The first chapter focuses on indicators of Gross Domestic Product (GDP). The second is about income and related indicators and presents measures of net national income, savings and net lending/net borrowing. The third chapter looks at the expenditure approach to GDP, with information on the key components of demand and imports. The fourth chapter presents indicators from a production perspective. The fifth chapter looks at household sector indicators such as household disposable income, saving and net worth. The sixth chapter focuses on general government, presenting indicators such as general government revenue, expenditure and gross debt. The seventh chapter looks at financial and non-financial corporations. The eighth chapter presents indicators of capital stock and depreciation. Finally, chapter 9 provides reference indicators, important in their own right but also because they are used in the construction of many of the indicators presented elsewhere in NAAG. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE CHAPTER,UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,TRANSFORMATION=N NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,TIME_PERIOD_START=2000,MEASURE=B1G_GR,ACTIVITY=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_NAAG_CHAPTER4(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA 1.00020 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/all/ECO.ECO_NAD.ECO_NAD_GNF.ECO_NAD_GNF_NAT?references=dataflow RELATED_DATA NAAG Chapitre 4: Production NAAG Chapter 4: Production Le Panorama des comptes nationaux est basé sur la publication originale et comporte neuf chapitres : Le premier chapitre est consacré aux indicateurs du produit intérieur brut (PIB). Le deuxième chapitre porte sur les revenus et les indicateurs connexes et présente des mesures du revenu national net, de l'épargne et de la capacité/besoin de financement. Le troisième chapitre examine l'approche du PIB par les dépenses, avec des informations sur les composantes clés de la demande et des importations. Le quatrième chapitre présente les indicateurs du point de vue de la production. Le cinquième chapitre examine les indicateurs du secteur des ménages, tels que le revenu disponible des ménages, l'épargne et la richesse nette. Le sixième chapitre est consacré aux administrations publiques et présente des indicateurs tels que les recettes, les dépenses et la dette brute des administrations publiques. Le septième chapitre porte sur les sociétés financières et non financières. Le huitième chapitre présente des indicateurs du stock de capital et de la dépréciation. Enfin, le chapitre 9 fournit des indicateurs de référence, importants en soi mais aussi parce qu'ils sont utilisés dans la construction de nombreux indicateurs présentés ailleurs dans le Panorama. The National Accounts at a Glance (NAAG) is based on the original publication and has nine chapters: The first chapter focuses on indicators of Gross Domestic Product (GDP). The second is about income and related indicators and presents measures of net national income, savings and net lending/net borrowing. The third chapter looks at the expenditure approach to GDP, with information on the key components of demand and imports. The fourth chapter presents indicators from a production perspective. The fifth chapter looks at household sector indicators such as household disposable income, saving and net worth. The sixth chapter focuses on general government, presenting indicators such as general government revenue, expenditure and gross debt. The seventh chapter looks at financial and non-financial corporations. The eighth chapter presents indicators of capital stock and depreciation. Finally, chapter 9 provides reference indicators, important in their own right but also because they are used in the construction of many of the indicators presented elsewhere in NAAG. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE CHAPTER,UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,TRANSFORMATION=N,EXPENDITURE NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,TIME_PERIOD_START=2000,MEASURE=OTES13 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_NAAG_CHAPTER6(1.0).H HIER_CONTEXT 1.00020 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/all/ECO.ECO_NAD.ECO_NAD_GNF.ECO_NAD_GNF_NAT?references=dataflow RELATED_DATA NAAG Chapitre 6: Administrations publiques NAAG Chapter 6: Government Le Panorama des comptes nationaux est basé sur la publication originale et comporte neuf chapitres : Le premier chapitre est consacré aux indicateurs du produit intérieur brut (PIB). Le deuxième chapitre porte sur les revenus et les indicateurs connexes et présente des mesures du revenu national net, de l'épargne et de la capacité/besoin de financement. Le troisième chapitre examine l'approche du PIB par les dépenses, avec des informations sur les composantes clés de la demande et des importations. Le quatrième chapitre présente les indicateurs du point de vue de la production. Le cinquième chapitre examine les indicateurs du secteur des ménages, tels que le revenu disponible des ménages, l'épargne et la richesse nette. Le sixième chapitre est consacré aux administrations publiques et présente des indicateurs tels que les recettes, les dépenses et la dette brute des administrations publiques. Le septième chapitre porte sur les sociétés financières et non financières. Le huitième chapitre présente des indicateurs du stock de capital et de la dépréciation. Enfin, le chapitre 9 fournit des indicateurs de référence, importants en soi mais aussi parce qu'ils sont utilisés dans la construction de nombreux indicateurs présentés ailleurs dans le Panorama. The National Accounts at a Glance (NAAG) is based on the original publication and has nine chapters: The first chapter focuses on indicators of Gross Domestic Product (GDP). The second is about income and related indicators and presents measures of net national income, savings and net lending/net borrowing. The third chapter looks at the expenditure approach to GDP, with information on the key components of demand and imports. The fourth chapter presents indicators from a production perspective. The fifth chapter looks at household sector indicators such as household disposable income, saving and net worth. The sixth chapter focuses on general government, presenting indicators such as general government revenue, expenditure and gross debt. The seventh chapter looks at financial and non-financial corporations. The eighth chapter presents indicators of capital stock and depreciation. Finally, chapter 9 provides reference indicators, important in their own right but also because they are used in the construction of many of the indicators presented elsewhere in NAAG. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN EXPENDITURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE CHAPTER,UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,TRANSFORMATION=N NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,TIME_PERIOD_START=2000,MEASURE=OTES13F,EXPENDITURE=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00020 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/all/ECO.ECO_NAD.ECO_NAD_GNF.ECO_NAD_GNF_NAT?references=dataflow RELATED_DATA NAAG Chapitre 6A: Dépenses des administrations publiques par fonction NAAG Chapter 6A: Government expenditure by function Le Panorama des comptes nationaux est basé sur la publication originale et comporte neuf chapitres : Le premier chapitre est consacré aux indicateurs du produit intérieur brut (PIB). Le deuxième chapitre porte sur les revenus et les indicateurs connexes et présente des mesures du revenu national net, de l'épargne et de la capacité/besoin de financement. Le troisième chapitre examine l'approche du PIB par les dépenses, avec des informations sur les composantes clés de la demande et des importations. Le quatrième chapitre présente les indicateurs du point de vue de la production. Le cinquième chapitre examine les indicateurs du secteur des ménages, tels que le revenu disponible des ménages, l'épargne et la richesse nette. Le sixième chapitre est consacré aux administrations publiques et présente des indicateurs tels que les recettes, les dépenses et la dette brute des administrations publiques. Le septième chapitre porte sur les sociétés financières et non financières. Le huitième chapitre présente des indicateurs du stock de capital et de la dépréciation. Enfin, le chapitre 9 fournit des indicateurs de référence, importants en soi mais aussi parce qu'ils sont utilisés dans la construction de nombreux indicateurs présentés ailleurs dans le Panorama. The National Accounts at a Glance (NAAG) is based on the original publication and has nine chapters: The first chapter focuses on indicators of Gross Domestic Product (GDP). The second is about income and related indicators and presents measures of net national income, savings and net lending/net borrowing. The third chapter looks at the expenditure approach to GDP, with information on the key components of demand and imports. The fourth chapter presents indicators from a production perspective. The fifth chapter looks at household sector indicators such as household disposable income, saving and net worth. The sixth chapter focuses on general government, presenting indicators such as general government revenue, expenditure and gross debt. The seventh chapter looks at financial and non-financial corporations. The eighth chapter presents indicators of capital stock and depreciation. Finally, chapter 9 provides reference indicators, important in their own right but also because they are used in the construction of many of the indicators presented elsewhere in NAAG. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE CHAPTER,UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,TRANSFORMATION=N NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,TIME_PERIOD_START=2000,MEASURE=OTES13 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00000 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/all/ECO.ECO_NAD.ECO_NAD_GNF.ECO_NAD_GNF_NAT?references=dataflow RELATED_DATA NAAG Chapitre 6: Administrations publiques NAAG Chapter 6: General Government NonProductionDataflow true V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE1_OUTPUT,DSD_NAMAIN10@DF_TABLE1_INCOME/latest RELATED_DATA Annual GDP and components following the three approaches (for 'Developer API') PIB annuel et composantes selon les trois approches ('API pour développeur') This dataset provides the whole set of OECD annual GDP and component data and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. <br><br> The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. <br><br> To get started check the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a> <br>.For any question <a href="https://www.oecd.org/contact/">contact us</a> Cet ensemble de données fournit la totalité des données du PIB et ses composantes selon les trois approches et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus.<br><br> L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche.<br><br> Veuillez consulter la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation API (en anglais seulement)</a> <br>. Pour toute question <a href=" https://www.oecd.org/contact/">contactez -nous</a> <br>. NonProductionDataflow true TRANSACTION,SECTOR,INSTR_ASSET,ACTIVITY,EXPENDITURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY=(_T+_Z),EXPENDITURE=(_T+_Z),SECTOR=S1,COUNTERPART_SECTOR,TRANSFORMATION=N,TRANSACTION=P3T6 NOT_DISPLAYED PRICE_BASE=V,REF_AREA=AUS,UNIT_MEASURE=XDC DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS SECTOR:OECD.SDD.NAD:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_TRANSACTION:TRANSACTION,SECTOR,INSTR_ASSET;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0001 SEARCH_WEIGHT V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_HVPVOB,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_HCPC,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_VPVOB,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_CPC,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_GROWTH,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_GFCF_ASSET,DSD_NAMAIN10@DF_TABLE1_OUTPUT,DSD_NAMAIN10@DF_TABLE1_INCOME,DSD_NAMAIN10@DF_TABLE1_MULT_INDICES,DSD_NAMAIN10@DF_TABLE4/latest RELATED_DATA Annual GDP and components - expenditure approach PIB annuel et ses composantes selon l'approche par les dépenses This table presents Gross Domestic Product (GDP) and its components according to the expenditure approach. In the expenditure approach, the main components of GDP are: final consumption expenditure of households and non-profit institutions serving households (NPISH) plus final consumption expenditure of General Government plus gross fixed capital formation (or investment) plus net trade (exports minus imports). Data is presented for each country in national currency as well as in euros for the European Union and the euro area. Data is also presented converted to US dollars using both purchasing power parities and exchange rates.<br><br>In this table, the presentation of GDP and its components is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view shows all transactions (GDP and components) for the selected area, but it is possible to select specific components and sub-components of GDP using the ‘Transaction’ filter. The sector to which the selected transactions relate will be shown in the 'Institutional sector' filter, and further options (if applicable) will be shown under the ‘Financial instruments and non-financial assets’ filter. It is also possible to select current prices, chain linked volumes etc using the ‘Price base’ filter (the default view is current prices). <br><br> The table shows OECD countries and selected economies, as well as the OECD total, OECD Europe, European Union and euro area. These can be selected using the ‘Reference area’ filter. <br><br>We are working on an issue with rows that appear empty but are in fact not applicable.<br><br> These indicators were presented in the previous dissemination system in the SNA_TABLE1 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le produit intérieur brut (PIB) et ses composantes principales selon l'approche par les dépenses. Dans l'approche par les dépenses, les principales composantes du PIB sont : les dépenses de consommation finale des ménages et des institutions sans but lucratif au service des ménages (ISBLSM) plus les dépenses de consommation finale des administrations publiques plus la formation brute de capital fixe (ou investissement) plus le commerce net (exportations moins importations). Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. Les données sont également présentées converties en dollars américains en utilisant à la fois les parités de pouvoir d'achat et les taux de change.<br><br>Dans ce tableau, la présentation du PIB et de ses composantes se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». La vue par défaut affiche toutes les transactions (PIB et composantes) pour la zone sélectionnée, mais il est possible de sélectionner des composantes et sous-composantes spécifiques du PIB à l'aide du filtre « Transaction ». Le secteur auquel se rapportent les transactions sélectionnées sera affiché dans le filtre « Secteur institutionnel », et d'autres options (le cas échéant) seront affichées sous le filtre « Instruments financiers et actifs non financiers ». Il est également possible de sélectionner les prix courants, les volumes chaînés, etc. en utilisant le filtre « Type de prix » (la vue par défaut est celle des prix courants). <br><br> Le tableau présente les pays de l'OCDE et certaines économies, ainsi que le total de l'OCDE, les pays européens de l'OCDE, l'Union européenne et la zone euro. Ceux-ci peuvent être sélectionnés à l’aide du filtre « Zone de référence ». <br><br>Nous travaillons sur un problème concernant les lignes qui apparaissent vides mais qui ne sont en fait pas applicables.<br><br> Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE1.<br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact pour les statistiques de l'OCDE : <a href="mailto : STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION,EXPENDITURE NOT_DISPLAYED TRANSACTION=B1GQ,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,FREQ=A,LASTNPERIODS=10 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR(1.0).H HIER_CONTEXT V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_HVPVOB,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_HCPC,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_VPVOB,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_CPC,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_GROWTH,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_GFCF_ASSET,DSD_NAMAIN10@DF_TABLE1_OUTPUT,DSD_NAMAIN10@DF_TABLE1_INCOME,DSD_NAMAIN10@DF_TABLE1_MULT_INDICES,DSD_NAMAIN10@DF_TABLE4/latest RELATED_DATA Annual GDP and components - expenditure approach, US $, current prices, current PPPs, millions PIB annuel et ses composantes - approche par les dépenses, $ É-U, prix courants, PPA courantes, millions This table shows Gross Domestic Product (GDP) and its components such as consumption expenditure, gross fixed capital formation (investment), changes in inventories, exports and imports of goods and services. The indicators are in volume terms and are converted to US dollars using current Purchasing Power Parities (PPPs). <br><br> When using the filters, please note that GDP is selected by default in the ‘Transaction filter’, but you can select other measures using this filter. The sector to which the selected transaction relates will be shown in the ‘Institutional sector’ filter, and further options (if applicable) will be shown under the ‘Financial instruments and non-financial assets’ filter. <br><br> Please also note that final consumption expenditure is the expenditure of resident households on consumption goods or services, while individual consumption is the sum of household consumption plus the individual (not collective) consumption of the non-profit institutions serving households (NPISH) and General Government sectors. <br><br>The table shows OECD countries and selected economies, as well as the OECD total, OECD Europe, European Union and euro area. These can be selected using the ‘Reference area’ filter. <br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE1 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau montre le produit intérieur brut (PIB) et ses composantes telles que les dépenses de consommation, la formation brute de capital fixe (investissement), la variation des stocks, les exportations et importations de biens et services. Les indicateurs sont exprimés en termes de volume et sont convertis en dollars américains en utilisant les parités de pouvoir d'achat (PPA) à prix courants. <br><br> Lorsque vous utilisez les filtres, veuillez noter que le PIB est sélectionné par défaut dans le filtre «Transactions », mais vous pouvez sélectionner d'autres mesures en utilisant ce filtre. Le secteur auquel se rapporte la transaction sélectionnée sera affiché dans le filtre « Secteur institutionnel », et d'autres options (le cas échéant) seront affichées sous le filtre « Instruments financiers et actifs non financiers ». <br><br> Veuillez également noter que les dépenses de consommation finale sont les dépenses des ménages résidents en biens ou services de consommation, tandis que la consommation individuelle est la somme de la consommation des ménages plus la consommation individuelle (et non collective) des institutions à but non lucratif au service des ménages. (ISBLSM) et les secteurs des administrations publiques. <br><br> Le tableau présente les pays de l'OCDE et certaines économies, ainsi que le total de l'OCDE, l'OCDE Europe, l'Union européenne et la zone euro. Ceux-ci peuvent être sélectionnés à l’aide du filtre « Zone de référence ». <br><br> Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE1. <br> Voir Modifications ANA pour plus d'informations sur les changements de méthodologie : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">Changements ANA< /a> <br> Explorez également la page Web des comptes nationaux de l'OCDE : <a href="https://www.oecd.org/sdd/na/">Page Web des comptes nationaux</a><br>Contact pour les statistiques de l'OCDE : <a href="mailto : STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,EXPENDITURE,TRANSFORMATION=N,TRANSACTION=B1GQ+P5 NOT_DISPLAYED PRICE_BASE=V,REF_AREA=AUS,TRANSACTION=P51G,UNIT_MEASURE=XDC DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_A10_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_GFCF_ASSET,DSD_NAMAIN10@DF_TABLE8,DSD_NAMAIN10@DF_TABLE9A,DSD_NASEC10@DF_TABLE14_GFCF/latest RELATED_DATA Annual GFCF by asset Formation brute de capital fixe par type d'actif This table presents Gross Fixed Capital Formation (GFCF - investment), by asset. The asset breakdown covers items such as dwellings, transport equipment and intellectual property products which are part of the fixed assets. Fixed assets consists of goods and services that are used in production for more than one year. Data is presented for each country in national currency as well as in euros for the European Union and the euro area. Data is also presented converted to US dollars using both purchasing power parities and exchange rates.<br><br> In this table, the presentation of GFCF and its breakdown is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view shows total fixed assets, but the ‘Financial instruments and non-financial assets’ filter can be used to select specific assets. It is also possible to select current prices, chain linked volumes etc using the ‘Price base’ filter (the default view is current prices).<br><br> These indicators were presented in the previous dissemination system in the SNA_TABLE1 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente la formation brute de capital fixe (FBCF - investissement), par actif. La répartition des actifs couvre des éléments tels que les logements, le matériel de transport et les produits de propriété intellectuelle qui font partie des immobilisations. Les immobilisations se composent de biens et de services utilisés dans la production pendant plus d'un an. Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. Les données sont également présentées converties en dollars américains en utilisant à la fois les parités de pouvoir d'achat et les taux de change.<br><br> Dans ce tableau, la présentation de la FBCF et sa répartition se font pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». La vue par défaut affiche le total des immobilisations, mais le filtre « Instruments financiers et actifs non financiers » peut être utilisé pour sélectionner des actifs spécifiques. Il est également possible de sélectionner les prix courants, les volumes chaînés, etc. à l'aide du filtre « Type de prix » (la vue par défaut est en prix courants).<br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE1. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement). : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION NOT_DISPLAYED TRANSACTION=B1GQ,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,FREQ=A,LASTNPERIODS=10 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR(1.0).H HIER_CONTEXT 1.0001 SEARCH_WEIGHT V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_HVPVOB,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_HCPC,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_VPVOB,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_CPC,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_GROWTH,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_GFCF_ASSET,DSD_NAMAIN10@DF_TABLE1_OUTPUT,DSD_NAMAIN10@DF_TABLE1_INCOME,DSD_NAMAIN10@DF_TABLE1_MULT_INDICES,DSD_NAMAIN10@DF_TABLE4/latest RELATED_DATA Annual GDP and components - expenditure approach, growth rates PIB annuel et ses composantes, approche par les dépenses, taux de croissance annuel This table presents Gross Domestic Product (GDP) and its main components according to the expenditure approach. Data is presented as growth rates (in percent). In the expenditure approach, the components of GDP are: final consumption expenditure of households and non-profit institutions serving households (NPISH) plus final consumption expenditure of General Government plus gross fixed capital formation (or investment) plus net trade (exports minus imports).<br><br> When using the filters, please note that GDP is selected by default in the ‘Transaction filter’, but you can select other measures using this filter. The sector to which the selected transaction relates will be shown in the ‘Institutional sector’ filter, and further options (if applicable) will be shown under the ‘Financial instruments and non-financial assets’ filter.<br><br>The table shows OECD countries and selected economies, as well as the OECD total, OECD Europe, European Union and euro area. These can be selected using the ‘Reference area’ filter.<br><br> These indicators were presented in the previous dissemination system in the SNA_TABLE1 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le Produit Intérieur Brut (PIB) et ses composantes principales selon l'approche des dépenses. Les données sont présentées sous forme de taux de croissance (en pourcentage). Dans l'approche par les dépenses, les composantes du PIB sont : les dépenses de consommation finale des ménages et des institutions sans but lucratif au service des ménages (ISBLSM) plus les dépenses de consommation finale des administrations publiques plus la formation brute de capital fixe (ou investissement) plus le commerce net (exportations moins importations). <br><br> Lorsque vous utilisez les filtres, veuillez noter que le PIB est sélectionné par défaut dans le filtre « Transactions », mais vous pouvez sélectionner d'autres mesures à l'aide de ce filtre. Le secteur auquel se rapporte la transaction sélectionnée sera affiché dans le filtre « Secteur institutionnel », et d'autres options (le cas échéant) seront affichées sous le filtre « Instruments financiers et actifs non financiers ».<br><br>Le tableau montre les pays de l'OCDE et certaines économies, ainsi que le total de l'OCDE, l'OCDE Europe, l'Union européenne et la zone euro. Ceux-ci peuvent être sélectionnés à l'aide du filtre « Zone de référence ».<br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE1. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement). : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,PRICE_BASE,REF_YEAR_PRICE,CURRENCY,TRANSFORMATION,EXPENDITURE NOT_DISPLAYED TRANSACTION=B1GQ_POP,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,FREQ=A,LASTNPERIODS=10 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_HVPVOB,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_HCPC,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_VPVOB,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_CPC,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_GROWTH,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_GFCF_ASSET,DSD_NAMAIN10@DF_TABLE1_OUTPUT,DSD_NAMAIN10@DF_TABLE1_INCOME,DSD_NAMAIN10@DF_TABLE1_MULT_INDICES,DSD_NAMAIN10@DF_TABLE4,DSD_NAMAIN10@DF_TABLE3_POP_EMPNC/latest RELATED_DATA Annual GDP and consumption per capita, US $, current prices, current PPPs PIB et consommation, annuel, par tête, $ É-U, prix courants, PPA courantes This table shows Gross Domestic Product (GDP) per capita (or per person), household final consumption expenditure per capita and actual individual consumption per capita. Final consumption expenditure is the expenditure of resident households on consumption goods or services, while individual consumption is the sum of household consumption plus the individual (not collective) consumption of the non-profit institutions serving households (NPISH) and General Government sectors. The indicators are in current prices and are converted to US dollars using current Purchasing Power Parities (PPPs). <br><br> The table shows OECD countries and selected economies, as well as the OECD total, OECD Europe, European Union and euro area . These can be selected using the ‘Reference area’ filter. <br> These indicators were presented in the previous dissemination system in the SNA_TABLE1 dataset.<br>See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau montre le produit intérieur brut (PIB) par habitant (ou par personne), les dépenses de consommation finale des ménages par habitant et la consommation individuelle effective par habitant. Les dépenses de consommation finale sont les dépenses des ménages résidents en biens ou services de consommation, tandis que la consommation individuelle est la somme de la consommation des ménages plus la consommation individuelle (et non collective) des secteurs des institutions sans but lucratif au service des ménages (ISBLSM) et des administrations publiques. Les indicateurs sont exprimés en termes de volume et sont convertis en dollars américains en utilisant les parités de pouvoir d'achat (PPA) à prix courants. <br><br> Lors de l'utilisation des filtres, veuillez noter que le PIB est sélectionné par défaut dans le filtre « Transaction » mais vous pouvez sélectionner les mesures de consommation à l'aide du filtre « Transaction ». Le filtre « Secteur institutionnel » montre que le PIB et la consommation individuelle réelle se rapportent à l’économie totale, tandis que les dépenses de consommation finale des ménages concernent les ménages. <br><br> Le tableau présente les pays de l'OCDE et certaines économies, ainsi que le total de l'OCDE, les pays européens de l'OCDE, OECD Europe. Ceux-ci peuvent être sélectionnés à l’aide du filtre « Zone de référence ». <br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE1. <br> Voir le document "ANA Changes" (en anglais uniquement) pour plus d'informations sur les changements de méthodologie. : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,PRICE_BASE,REF_YEAR_PRICE,CURRENCY,TRANSFORMATION,EXPENDITURE NOT_DISPLAYED TRANSACTION=B1GQ_POP,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,FREQ=A,LASTNPERIODS=10 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_HVPVOB,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_HCPC,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_VPVOB,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_CPC,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_GROWTH,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_GFCF_ASSET,DSD_NAMAIN10@DF_TABLE1_OUTPUT,DSD_NAMAIN10@DF_TABLE1_INCOME,DSD_NAMAIN10@DF_TABLE1_MULT_INDICES,DSD_NAMAIN10@DF_TABLE4,DSD_NAMAIN10@DF_TABLE3_POP_EMPNC/latest RELATED_DATA Annual GDP and consumption per capita, US $, volume, constant PPPs, reference year 2020 PIB et consommation, annuel, par tête, $ É-U, prix constants, PPA constantes, année de référence 2020 This table shows Gross Domestic Product (GDP) per capita (or per person), household final consumption expenditure per capita and actual individual consumption per capita. Final consumption expenditure is the expenditure of resident households on consumption goods or services, while individual consumption is the sum of household consumption plus the individual (not collective) consumption of the non-profit institutions serving households (NPISH) and General Government sectors. The indicators are in volume terms and are converted to US dollars using constant Purchasing Power Parities (PPPs). <br><br> When using the filters, please note that GDP is selected by default in the ‘Transaction’ filter but you can select the consumption measures using the ‘Transaction’ filter. The ‘Institutional sector’ filter shows that GDP and actual individual consumption relate to the total economy, while household final consumption expenditure relates to households. <br><br> The table shows OECD countries and selected economies, as well as the OECD total, OECD Europe, European Union and euro area . These can be selected using the ‘Reference area’ filter. <br><br> These indicators were presented in the previous dissemination system in the SNA_TABLE1 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le produit intérieur brut (PIB) par habitant (ou par personne), les dépenses de consommation finale des ménages par habitant et la consommation individuelle effective par habitant. Les dépenses de consommation finale sont les dépenses des ménages résidents en biens ou services de consommation, tandis que la consommation individuelle est la somme de la consommation des ménages plus la consommation individuelle (et non collective) des institutions sans but lucratif au service des ménages (ISBLSM) et des secteurs des administrations publiques. Les indicateurs sont exprimés en termes de volume et sont convertis en dollars américains en utilisant des parités de pouvoir d'achat (PPA) à prix constants. <br><br>Lors de l'utilisation des filtres, veuillez noter que le PIB est sélectionné par défaut dans le filtre « Transaction » mais vous pouvez sélectionner les mesures de consommation à l'aide du filtre « Transaction ». Le filtre « Secteur institutionnel » montre que le PIB et la consommation individuelle effective se rapportent à l’économie totale, tandis que les dépenses de consommation finale des ménages concernent les ménages. <br><br> Le tableau présente les pays de l'OCDE et certaines économies, ainsi que le total de l'OCDE, les pays européens de l'OCDE, l'Union européenne et la zone euro. Ceux-ci peuvent être sélectionnés à l’aide du filtre « Zone de référence ». <br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE1. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION,EXPENDITURE NOT_DISPLAYED TRANSACTION=B1GQ,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,FREQ=A,LASTNPERIODS=10 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR(1.0).H HIER_CONTEXT V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_HVPVOB,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_HCPC,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_VPVOB,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_CPC,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_GROWTH,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_GFCF_ASSET,DSD_NAMAIN10@DF_TABLE1_OUTPUT,DSD_NAMAIN10@DF_TABLE1_INCOME,DSD_NAMAIN10@DF_TABLE1_MULT_INDICES,DSD_NAMAIN10@DF_TABLE4/latest RELATED_DATA Annual GDP and components - expenditure approach, US $, volume, constant PPPs, reference year 2020, millions PIB et consommation, annuel, $ É-U, prix constants, PPA constantes, année de référence 2020, millions This table shows Gross Domestic Product (GDP) and its components such as consumption expenditure, gross fixed capital formation (investment), changes in inventories, exports and imports of goods and services. The indicators are in volume terms and are converted to US dollars using constant Purchasing Power Parities (PPPs). <br><br> When using the filters, please note that GDP is selected by default in the ‘Transaction filter’, but you can select other measures using this filter. The sector to which the selected transaction relates will be shown in the ‘Institutional sector’ filter, and further options (if applicable) will be shown under the ‘Financial instruments and non-financial assets’ filter. <br><br> Please also note that final consumption expenditure is the expenditure of resident households on consumption goods or services, while individual consumption is the sum of household consumption plus the individual (not collective) consumption of the non-profit institutions serving households (NPISH) and General Government sectors. <br><br> These indicators were presented in the previous dissemination system in the SNA_TABLE1 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau montre le produit intérieur brut (PIB) et ses composantes telles que les dépenses de consommation, la formation brute de capital fixe (investissement), la variation des stocks, les exportations et importations de biens et services. Les indicateurs sont exprimés en termes de volume et sont convertis en dollars américains en utilisant des parités de pouvoir d'achat (PPA) à prix constants. <br><br> Lorsque vous utilisez les filtres, veuillez noter que le PIB est sélectionné par défaut dans le filtre « Transaction », mais vous pouvez sélectionner d'autres mesures en utilisant ce filtre. Le secteur auquel se rapporte la transaction sélectionnée sera affiché dans le filtre « Secteur institutionnel », et d'autres options (le cas échéant) seront affichées sous le filtre « Instruments financiers et actifs non financiers ». <br><br> Veuillez également noter que les dépenses de consommation finale sont les dépenses des ménages résidents en biens ou services de consommation, tandis que la consommation individuelle est la somme de la consommation des ménages plus la consommation individuelle (et non collective) des institutions à but non lucratif au service des ménages. (ISBLSM) et les secteurs des administrations publiques. <br><br> Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE1.<br> Voir le document "ANA Changes" (en anglais uniquement) pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez aussi la page Web des comptes nationaux de l'OCDE: <a href="https://www.oecd.org/fr/sdd/cn/">page Web des comptes nationaux</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,ACTIVITY,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,UNIT_MEASURE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,EXPENDITURE,TRANSFORMATION=N NOT_DISPLAYED PRICE_BASE=V,REF_AREA=AUS DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_A10_ANA(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_1_INC_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0001 SEARCH_WEIGHT V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE1_OUTPUT,DSD_NAMAIN10@DF_TABLE1_INCOME,DSD_NAMAIN10@DF_TABLE4,DSD_NAMAIN10@DF_TABLE2,DSD_NAMAIN10@DF_TABLE2_B6_VPVOP,DSD_NAMAIN10@DF_TABLE3_EMPDC,DSD_NAMAIN10@DF_TABLE6/latest RELATED_DATA Annual GDP and components - income approach PIB annuel et ses composantes selon l'approche par les revenus This table presents Gross Domestic Product (GDP) and its components according to the income approach. In the income approach, GDP is measured as the sum of compensation of employees (wages and salaries paid to employees and their employers’ social contributions), plus gross operating surplus (business profits) and gross mixed income (profits of the self-employed), plus taxes on production and imports less subsidies.<br><br> The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. Data is presented for each country in national currency as well as in euros for the European Union and the euro area. It is also presented converted to US dollars using exchange rates. <br><br>The table shows OECD countries and selected economies, as well as the OECD total, OECD Europe, European Union and euro area. <br><br> These indicators were presented in the previous dissemination system in the SNA_TABLE1 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le Produit Intérieur Brut (PIB) et ses composantes selon l'approche par le revenu. Dans l'approche par le revenu, le PIB est mesuré comme la somme de la rémunération des salariés (salaires et traitements versés aux salariés et cotisations sociales de leurs employeurs), plus l'excédent brut d'exploitation (bénéfices des entreprises) et le revenu mixte brut (bénéfices des indépendants), plus les taxes sur la production et les importations moins les subventions.<br><br> La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. Elles sont également présentées converties en dollars américains en utilisant les taux de change. <br><br>Le tableau présente les pays de l'OCDE et certaines économies, ainsi que le total de l'OCDE, l'OCDE Europe, l'Union européenne et la zone euro. <br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE1. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,EXPENDITURE,TRANSFORMATION=N NOT_DISPLAYED PRICE_BASE=V,REF_AREA=AUS DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_INCOME_COE/latest RELATED_DATA Annual compensation of employees by main industrial activity (A10) Rémunération annuelles des salariés par activité principales (A10) This table presents Gross Domestic Product (GDP) and its components according to the income approach. In the income approach, GDP is measured as the sum of compensation of employees (wages and salaries paid to employees and their employers’ social contributions), plus gross operating surplus (business profits) and gross mixed income (profits of the self-employed), plus taxes on production and imports less subsidies.<br><br> Data is presented for each country in national currency (levels) as well as in euros for the European Union and the euro area. It is also presented converted to US dollars using exchange rates. They are available for OECD countries and some other economies, as well as the zones OECD total, European Union (27 countries) and euro area (19 countries) <br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. <br> These indicators were presented in the previous dissemination system in the SNA_TABLE1 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les indicateurs présentés dans ce tableau correspondent à la rémunération annuelles des salariés ventilée par activités principales. Ils sont extraits extraits du PIB selon l'approche par les revenus et disponibles pour les pays de l'OCDE et certaines autres économies, ainsi que pour les zones OCDE total, l'union européenne (27 pays) et zone euro (19 pays).<br> Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE1.<br> Voir le document "ANA Changes" (en anglais uniquement) pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN PRICE_BASE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,EXPENDITURE NOT_DISPLAYED TRANSACTION=B1GQ_POP,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD,FREQ=A,LASTNPERIODS=10 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE1_MULT_INDICES,DSD_NAMAIN10@DF_TABLE4,DSD_NAMAIN10@DF_TABLE3_POP_EMPNC/latest RELATED_DATA Annual GDP and consumption per capita - multilateral indices PIB et consommation, annuel, par tête, indice multilatéral This table shows Gross Domestic Product (GDP) per capita (or per person), household final consumption expenditure per capita and actual individual consumption per capita. The current prices indicators are converted to US dollars using current Purchasing Power Parities (PPPs) while the volume indicators are converted using constant PPPs. The indicators present the evolution across time of the reference country relative to the OECD. <br><br>Final consumption expenditure is the expenditure of resident households on consumption goods or services, while individual consumption is the sum of household consumption plus the individual (not collective) consumption of the non-profit institutions serving households (NPISH) and General Government sectors. <br><br> When using the filters, please note that GDP is selected by default in the ‘Transaction’ filter but you can select the other two measures using the ‘Transaction’ filter. The ‘Institutional sector’ filter shows that GDP and actual individual consumption relate to the total economy, while household final consumption expenditure relates to households. <br><br>The table shows OECD countries and selected economies, as well as the OECD total, OECD Europe, European Union and euro area. These can be selected using the ‘Reference area’ filter.<br><br> These indicators were presented in the previous dissemination system in the SNA_TABLE1 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le produit intérieur brut (PIB) par habitant (ou par personne), les dépenses de consommation finale des ménages par habitant et la consommation individuelle effective par habitant. Les indicateurs de prix courants sont convertis en dollars américains en utilisant les parités de pouvoir d'achat (PPA) à prix courants, tandis que les indicateurs de volume sont convertis en utilisant des PPA à prix constants. Les indicateurs présentent l’évolution dans le temps du pays de référence par rapport à l’OCDE. <br><br> Les dépenses de consommation finale sont les dépenses des ménages résidents en biens ou services de consommation, tandis que la consommation individuelle est la somme de la consommation des ménages plus la consommation individuelle (et non collective) des institutions sans but lucratif au service des ménages (ISBLSM) et des secteurs des administrations publiques. <br><br> Lors de l'utilisation des filtres, veuillez noter que le PIB est sélectionné par défaut dans le filtre « Transaction » mais vous pouvez sélectionner les deux autres mesures à l'aide du filtre « Transaction ». Le filtre « Secteur institutionnel » montre que le PIB et la consommation individuelle effective se rapportent à l’économie totale, tandis que les dépenses de consommation finale des ménages concernent les ménages. <br><br>Le tableau présente les pays de l'OCDE et certaines économies, ainsi que le total de l'OCDE, l'OCDE Europe, l'Union européenne et la zone euro. Ceux-ci peuvent être sélectionnés à l'aide du filtre "Zone de référence".<br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE1. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a><br> Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,ACTIVITY,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,UNIT_MEASURE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,EXPENDITURE,TRANSFORMATION=N NOT_DISPLAYED PRICE_BASE=V,REF_AREA=AUS DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_A10_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0001 SEARCH_WEIGHT V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE1_OUTPUT,DSD_NAMAIN10@DF_TABLE1_INCOME,DSD_NAMAIN10@DF_TABLE4,DSD_NAMAIN10@DF_TABLE3_EMPDC,DSD_NAMAIN10@DF_TABLE6/latest RELATED_DATA Annual GDP and components - output approach PIB annuel et ses composantes selon l'approche par la production This table presents Gross Domestic Product (GDP) and its components according to the output approach. In the output approach, GDP is measured as the sum of gross value added (GVA) of all economic activities plus taxes less subsidies on products. This table includes breakdowns of GVA by type of economic activity according to Revision 4 of the International Standard Industrial Classification of All Economic Activities (ISIC).<br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. Data is presented for each country in national currency as well as in euros for the European Union and the euro area. Data is also presented converted to US dollars using exchange rates. It is also possible to select current prices, chain linked volumes etc using the ‘Price base’ filter (the default view is current prices).<br><br>The table shows OECD countries and selected economies, as well as the OECD total, OECD Europe, European Union and euro area. These can be selected using the ‘Reference area’ filter. <br><br> These indicators were presented in the previous dissemination system in the SNA_TABLE1 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le produit intérieur brut (PIB) et ses composantes selon l'approche par la production. Dans l’approche par la production, le PIB est mesuré comme la somme de la valeur ajoutée brute (VAB) de toutes les activités économiques plus les impôts moins les subventions sur les produits. Ce tableau comprend la ventilation de la VAB par type d'activité économique selon la révision 4 de la Classification internationale type, par industrie, de toutes les activités économiques (CITI).<br><br>La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. Les données sont également présentées converties en dollars américains en utilisant les taux de change. Il est également possible de sélectionner les prix courants, les volumes chaînés, etc. à l'aide du filtre « Type de prix » (la vue par défaut correspond aux prix courants).<br><br>Le tableau montre les pays de l'OCDE et les économies sélectionnées, ainsi que le total de l'OCDE, l'OCDE Europe, l'Union européenne et la zone euro. Ceux-ci peuvent être sélectionnés à l’aide du filtre « Zone de référence ». <br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE1. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N NOT_DISPLAYED PRICE_BASE=V,REF_AREA=AUS,UNIT_MEASURE=XDC DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_2_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_MULT_INDICES,DSD_NAMAIN10@DF_TABLE4,DSD_NAMAIN10@DF_TABLE2,DSD_NAMAIN10@DF_TABLE2_B6_VPVOP,DSD_NAMAIN10@DF_TABLE2_B9_CPC,DSD_NAMAIN10@DF_TABLE2_B5N_HVPVOB,DSD_NAMAIN10@DF_TABLE2_B5N_HCPC/latest RELATED_DATA Annual national disposable income, saving and net lending/net borrowing Revenu disponible annuel, épargne et capacité (ou) besoin de financement This table presents the different transactions and balances to get from Gross Domestic Product (GDP) to net lending/net borrowing. It includes national disposable income (gross and net), consumption of fixed capital and net saving.<br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. Data is presented for each country in national currency as well as in euros for the European Union and the euro area, but you can also ask for it to be presented in US dollars converted with Purchasing Power Parities (PPPs) and exchange rates using the ‘Unit of measure’ filter. It is also possible to select chain linked volume and previous year price measures using the ‘Price base’ filter (the default view is current prices ).<br><br> The indicators were presented in the previous dissemination system in the SNA_TABLE2 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau montre les différentes transactions et les différents soldes qui permettent de passer du PIB à la capacité ou besoin de financement. Il comprend le revenu national disponible (brut et net), la consommation de capital fixe et l'épargne nette. <br><br>La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro, mais vous pouvez également demander qu'elles soient présentées en dollars américains convertis en parités de pouvoir d'achat (PPA) et en taux de change en utilisant les options du filtre «Unité de mesure». Il est également possible de sélectionner des mesures de volume chaînées et la mesure de prix de l'année précédente à l'aide du filtre « Type de prix » (la vue par défaut retiend les prix courants).<br><br> Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE2. Voir le document "ANA Changes" (en anglais uniquement) pour des informations sur les changement de méthodologie: ANA Changes Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N NOT_DISPLAYED TRANSACTION=B5N,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,FREQ=A,LASTNPERIODS=10 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_MULT_INDICES,DSD_NAMAIN10@DF_TABLE4,DSD_NAMAIN10@DF_TABLE2,DSD_NAMAIN10@DF_TABLE2_B6_VPVOP,DSD_NAMAIN10@DF_TABLE2_B9_CPC,DSD_NAMAIN10@DF_TABLE2_B5N_HVPVOB,DSD_NAMAIN10@DF_TABLE2_B5N_HCPC,DSD_NAMAIN10@DF_TABLE3_POP_EMPNC/latest RELATED_DATA Annual net national income per capita, US $, current prices, current PPPs Revenu national net annuel par tête $ É-U, prix courants, PPA courantes, millions This table presents countries' annual Net National Income (NNI) per capita. The data is in current prices and is converted to US dollars using Purchasing Power Parities (PPPs). NNI is calculated by deducting the consumption of fixed capital (depreciation) from Gross National Income (GNI). GNI is calculated by adding to Gross Domestic Product (GDP) any flows to the domestic economy from other countries of compensation of employees (wages and salaries and employers’ social contributions), property income (e.g. interest and dividends) and taxes less subsidies on production; and by deducting from GDP the equivalent flows from the domestic economy to other countries.<br><br>The indicators were presented in the previous dissemination system in the SNA_TABLE2 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le revenu national net (RNN) annuel des pays par tête. Les données sont aux prix courants et sont converties en dollars américains en utilisant les parités de pouvoir d'achat (PPA). Le RNN est calculé en déduisant la consommation de capital fixe (amortissement) du revenu national brut (RNB). Le RNB est calculé en ajoutant au produit intérieur brut (PIB) tous les revenus nets reçus de l'étranger pour la rémunération des salariés (salaires et traitements et cotisations sociales des employeurs), des revenus de la propriété (par exemple intérêts et dividendes) et des impôts moins les subventions à la production; et en déduisant du PIB les flux équivalents de l'économie nationale vers d'autres pays.<br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE2. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N NOT_DISPLAYED TRANSACTION=B5N,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,FREQ=A,LASTNPERIODS=10 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_MULT_INDICES,DSD_NAMAIN10@DF_TABLE4,DSD_NAMAIN10@DF_TABLE2,DSD_NAMAIN10@DF_TABLE2_B6_VPVOP,DSD_NAMAIN10@DF_TABLE2_B9_CPC,DSD_NAMAIN10@DF_TABLE2_B5N_HVPVOB,DSD_NAMAIN10@DF_TABLE2_B5N_HCPC,DSD_NAMAIN10@DF_TABLE3_POP_EMPNC/latest RELATED_DATA Annual net national income per capita, US $, volume, constant PPPs, reference year 2020 Revenu national net annuel par tête, $ É-U, prix constants, PPA constantes, année de référence 2020 This table presents countries' annual Net National Income (NNI) per capita. The data is in US dollars converted using Purchasing Power Parities (PPPs) and in constant prices (chain linked volumes rebased to 2020). NNI is calculated by deducting the consumption of fixed capital (depreciation) from Gross National Income (GNI). GNI is calculated by adding to Gross Domestic Product (GDP) any flows to the domestic economy from other countries of compensation of employees (wages and salaries and employers’ social contributions), property income (e.g. interest and dividends) and taxes less subsidies on production; and by deducting from GDP the equivalent flows from the domestic economy to other countries.<br><br>The indicators were presented in the previous dissemination system in the SNA_TABLE2 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le revenu national net (RNN) annuel des pays par tête. Les données sont en dollars américains convertis en utilisant les parités de pouvoir d'achat (PPA) et en prix constants (volumes chaînés rebasés sur 2020). Le RNN est calculé en déduisant la consommation de capital fixe (amortissement) du revenu national brut (RNB). Le RNB est calculé en ajoutant au produit intérieur brut (PIB) tous les revenus nets reçus de l'étranger pour la rémunération des salariés (salaires et traitements et cotisations sociales des employeurs), des revenus de la propriété (par exemple intérêts et dividendes) et des impôts moins les subventions à la production. ; et en déduisant du PIB les flux équivalents de l'économie nationale vers d'autres pays.<br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE2. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N NOT_DISPLAYED TRANSACTION=B6N,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,FREQ=A,LASTNPERIODS=10 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_MULT_INDICES,DSD_NAMAIN10@DF_TABLE4,DSD_NAMAIN10@DF_TABLE2,DSD_NAMAIN10@DF_TABLE2_B6_VPVOP,DSD_NAMAIN10@DF_TABLE2_B9_CPC,DSD_NAMAIN10@DF_TABLE2_B5N_HVPVOB,DSD_NAMAIN10@DF_TABLE2_B5N_HCPC/latest RELATED_DATA Annual national disposable income, US $, volume, constant PPPs Revenu disponible annuel, $ É-U, volume, PPA constantes This table presents countries' annual national disposable income (net). Net disposable income is calculated by deducting the consumption of fixed capital (depreciation) from gross national disposal income. The data is in US dollars converted using Purchasing Power Parities (PPPs) and in constant prices (chain linked volumes rebased to 2020).<br><br> The indicators were presented in the previous dissemination system in the SNA_TABLE2 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le revenu national disponible annuel (net) des pays. Le revenu disponible net est calculé en déduisant la consommation de capital fixe (amortissement) du revenu national brut disponible. Les données sont en dollars américains convertis à l'aide des parités de pouvoir d'achat (PPA) et en prix constants (volumes chaînés rebasés sur 2020).<br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE2. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N NOT_DISPLAYED TRANSACTION=B9N,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,FREQ=A,LASTNPERIODS=10 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_MULT_INDICES,DSD_NAMAIN10@DF_TABLE4,DSD_NAMAIN10@DF_TABLE2,DSD_NAMAIN10@DF_TABLE2_B6_VPVOP,DSD_NAMAIN10@DF_TABLE2_B9_CPC,DSD_NAMAIN10@DF_TABLE2_B5N_HVPVOB,DSD_NAMAIN10@DF_TABLE2_B5N_HCPC/latest RELATED_DATA Annual national net lending/net borrowing, US $, current prices, current PPPs Capacité/besoin de financement annuel, $ É-U, prix courants, PPA courantes This table presents countries' annual national net lending or net borrowing. Net lending (positive sign) or net borrowing (negative sign) is the balancing item at the end of the capital account in the sequence of economic accounts, and also appears in the financial accounts. It represents the surplus resources that are available for borrowing, or the deficit, which means that borrowing is required. The data is in US dollars converted using Purchasing Power Parities (PPPs) and in current prices.<br><br>The indicators were presented in the previous dissemination system in the SNA_TABLE2 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente la capacité de financement ou l'emprunt net national annuel des pays. La capacité de financement (signe positif) ou le besoin de financement (signe négatif) est le solde en fin de compte de capital dans la séquence des comptes économiques et apparaît également dans les comptes financiers. Il représente les ressources excédentaires disponibles pour emprunter, ou le déficit, ce qui signifie qu'un emprunt est nécessaire. Les données sont en dollars américains convertis à l'aide des parités de pouvoir d'achat (PPA) et aux prix courants.<br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE2. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,CURRENCY,TRANSFORMATION=N,EXPENDITURE NOT_DISPLAYED REF_AREA=AUT,UNIT_MEASURE=PS DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_A10_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE3_EMPDC,DSD_NAMAIN10@DF_TABLE3_POP_EMPNC/latest RELATED_DATA Annual employment and population (for 'Developer API') Emploi annuel et population ('API pour développeur') This dataset provides the whole set of OECD annual employment and population data and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. <br><br> The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. <br><br> To get started check the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a> <br>.For any question <a href="https://www.oecd.org/contact/">contact us</a> Cet ensemble de données fournit la totalité des données d’emploi annuel et de population et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus.<br><br> L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche.<br><br> Veuillez consulter la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation API (en anglais seulement)</a> <br>. Pour toute question <a href=" https://www.oecd.org/contact/">contactez -nous</a> <br>. NonProductionDataflow true TRANSACTION,ACTIVITY,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,TRANSFORMATION=N NOT_DISPLAYED REF_AREA=AUT,UNIT_MEASURE=PS DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_A10_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE3_EMPDC,DSD_NAMAIN10@DF_TABLE3_POP_EMPNC,DSD_NAMAIN10@DF_TABLE7,DSD_NAMAIN10@DF_TABLE3,DSD_NAMAIN10@DF_TABLE3_EMP_SECTOR/latest RELATED_DATA Annual employment by economic activity, domestic concept Emploi annuel par activité économique principale, concept intérieur This table presents employment data by main economic activity based on Revision 4 of the International Standard Industrial Classification of All Economic Activities (ISIC), according to the domestic concept. The domestic concept is defined by the location of the producer unit: employees are residents and non-residents employed by resident producer units; and self-employed people are resident and non-resident self-employed people in resident producer units.<br><br> The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for persons, but users can select alternative views for jobs and hours using the ‘Unit of measure’ filter.<br><br>.These indicators were presented in the previous dissemination system in the SNA_TABLE3 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente les données sur l'emploi, par activité économique principale, basées sur la révision 4 de la Classification internationale type, par industrie, de toutes les activités économiques (CITI), selon le concept intérieur.<br><br> Le concept intérieur est défini par la localisation de l'unité productrice : les salariés sont des résidents et des non-résidents employés par des unités productrices résidentes ; et les travailleurs indépendants sont les travailleurs indépendants résidents et non-résidents dans les unités de production résidentes.<br><br> La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». La vue par défaut du tableau concerne les personnes, mais les utilisateurs peuvent sélectionner des vues alternatives pour les emplois et les heures à l'aide du filtre « Unité de mesure ».<br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE3. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW SECTOR LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,CURRENCY,TRANSFORMATION=N,EXPENDITURE NOT_DISPLAYED REF_AREA=AUS,UNIT_MEASURE=PS,SECTOR=S13,FREQ=A,LASTNPERIODS=10 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE3_EMPDC,DSD_NAMAIN10@DF_TABLE3_POP_EMPNC,DSD_NAMAIN10@DF_TABLE7,DSD_NAMAIN10@DF_TABLE3,DSD_NAMAIN10@DF_TABLE3_EMP_SECTOR/latest RELATED_DATA Annual employment by institutional sector, domestic concept Emploi annuel par secteur institutionel, concept intérieur This table presents employment by institutional sector: Non-financial Corporations, Financial corporations, General Government, Households and Non-profit institutions serving households (NPISHs). For countries where information is available, the table also shows employment data for public corporations. The default view of the table is for persons, but users can select alternative views for jobs and hours using the ‘Unit of measure’ filter.<br><br>Employment covers employees and self-employed people. This table shows total employment according to the domestic concept, which is defined by the location of the producer unit: employees are residents and non-residents employed by resident producer units; and self-employed people are resident and non-resident self-employed people in resident producer units. <br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE3 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente l'emploi par secteur institutionnel : sociétés non financières, sociétés financières, administrations publiques, ménages et institutions sans but lucratif au service des ménages (ISBLSM). Pour les pays pour lesquels des informations sont disponibles, le tableau présente également des données sur l'emploi pour les entreprises publiques".<br><br> La vue par défaut du tableau porte sur les personnes, mais les utilisateurs peuvent sélectionner d'autres vues pour les emplois et les heures, à l'aide du filtre "Unité de mesure".<br><br> L'emploi couvre les salariés et les travailleurs indépendants. Ce tableau présente l'emploi total selon le concept intérieur, qui est défini par la localisation de l'unité de production : les salariés sont les résidents et les non-résidents employés par les unités de production résidentes ; et les travailleurs indépendants sont les travailleurs indépendants résidents et non-résidents dans des unités de production résidentes. <br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE3. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSACTION,ACTIVITY LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N NOT_DISPLAYED TRANSACTION=POP,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,FREQ=A,LASTNPERIODS=10 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0001 SEARCH_WEIGHT V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE3_EMPDC,DSD_NAMAIN10@DF_TABLE3_POP_EMPNC,DSD_NAMAIN10@DF_TABLE7,DSD_NAMAIN10@DF_TABLE3/latest RELATED_DATA Annual population and employment, national concept Population annuelle et emploi selon le concept national This table presents population and employment data according to the national concept. The national concept is defined by the residence of the person: employees are residents employed by either resident or non-resident producer units; and the self-employed are resident self-employed people in either resident or non-resident producer units. Users should note that population data corresponds to mid-year estimates (or the average of the reference year). <br><br> These indicators were presented in the previous dissemination system in the SNA_TABLE3 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente les données sur la population et l'emploi selon le concept intérieur. Le concept intérieur est défini par la résidence de la personne: les salariés sont des résidents employés par des unités de production résidentes ou non résidentes ; et les travailleurs indépendants sont des travailleurs indépendants résidents travaillant dans des unités de production résidentes ou non résidentes. Veuillez notez que les données démographiques correspondent aux estimations de milieu d’année (ou à la moyenne de l’année de référence). <br><br> Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE3.<br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N,UNIT_MULT NOT_DISPLAYED TRANSACTION=PPP_B1GQ,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,FREQ=A,LASTNPERIODS=10 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0001 SEARCH_WEIGHT V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_HVPVOB,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_HCPC,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_VPVOB,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_CPC,DSD_NAMAIN10@DF_TABLE1_MULT_INDICES,DSD_NAMAIN10@DF_TABLE4,DSD_NAMAIN10@DF_TABLE2_B6_VPVOP,DSD_NAMAIN10@DF_TABLE2_B9_CPC,DSD_NAMAIN10@DF_TABLE2_B5N_HVPVOB,DSD_NAMAIN10@DF_TABLE2_B5N_HCPC/latest RELATED_DATA Annual Purchasing Power Parities and exchange rates Parités de pouvoir d'achat annuelles et taux de change This table shows annual Purchasing Power Parities (PPPs) for Gross Domestic Product (GDP), household final consumption expenditure and actual individual consumption. It also shows exchange rates (annual averages and end of period), sourced from the International Monetary Fund's database on International Financial Statistics.<br><br> Final consumption expenditure is the expenditure of resident households on consumption goods or services, while individual consumption is the sum of household consumption plus the individual (not collective) consumption of the non-profit institutions serving households (NPISH) and General Government sectors. These indicators were presented in the previous dissemination system in the SNA_TABLE4 dataset.<br> For further information on (PPPs) please check the following link: Purchasing Power Parities and more precisely FAQ 2: <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/06/purchasing-power-parities---frequently-asked-questions-faqs.html">Purchasing power parities</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente les parités de pouvoir d'achat (PPA) annuelles pour le produit intérieur brut (PIB), les dépenses de consommation finale des ménages et la consommation individuelle effective. Il fournit également les taux de change (moyennes annuelles et fin de période), provenant de la base de données du Fonds monétaire international sur les statistiques financières internationales.<br><br>Les dépenses de consommation finale représentent les dépenses des ménages résidents en biens ou services de consommation, tandis que la consommation individuelle se compose de la consommation des ménages plus la consommation individuelle (et non collective) des institutions sans but lucratif au service des ménages (ISBLSM) et des secteurs des administrations publiques.<br><br>Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE4.<br> Pour plus d’informations concernant les Parités de Pouvoir d'achat (PPA), merci de vous référer au lien suivant: Parités des pouvoirs d'achat et plus précisément à la FAQ 2 (uniquement disponible en anglais) <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/06/purchasing-power-parities---frequently-asked-questions-faqs.html">Purchasing power parities</a><br></a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Contact statistique OCDE: STAT.Contact@oecd.org NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N,UNIT_MULT NOT_DISPLAYED TRANSACTION=PPP_P31S14,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,FREQ=A,LASTNPERIODS=10 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE4_PPP_P31S14/latest RELATED_DATA Annual Purchasing Power Parities for households final consumption expenditure Parités de pouvoir d'achat annuelles pour les dépenses de consommation finale des ménages For further information on Purchasing Power Parities (PPPs) please check the following link: Purchasing Power Parities and more precisely FAQ 5: <a href="http://www.oecd.org/std/purchasingpowerparities-frequentlyaskedquestionsfaqs.htm">Purchasing power parities</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Pour plus d’informations concernant les Parités de Pouvoir d'achat (PPA), merci de vous référer au lien suivant: Parités des pouvoirs d'achat et plus précisément à la FAQ 5 (uniquement disponible en anglais) <a href="http://www.oecd.org/std/purchasingpowerparities-frequentlyaskedquestionsfaqs.htm">Purchasing power parities</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N,UNIT_MULT NOT_DISPLAYED TRANSACTION=PPP_P41,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,FREQ=A,LASTNPERIODS=10 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE4_PPP_P41/latest RELATED_DATA Annual Purchasing Power Parities for actual individual consumption Parités de pouvoir d'achat annuelles pour la consommation individuelle effective For further information on Purchasing Power Parities (PPPs) please check the following link: Purchasing Power Parities and more precisely FAQ 5: <a href="http://www.oecd.org/std/purchasingpowerparities-frequentlyaskedquestionsfaqs.htm">Purchasing power parities</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Pour plus d’informations concernant les Parités de Pouvoir d'achat (PPA), merci de vous référer au lien suivant: Parités des pouvoirs d'achat et plus précisément à la FAQ 5 (uniquement disponible en anglais) <a href="http://www.oecd.org/std/purchasingpowerparities-frequentlyaskedquestionsfaqs.htm">Purchasing power parities</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,EXPENDITURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N,SECTOR=S14,COUNTERPART_SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,PRICE_BASE=V,UNIT_MEASURE=XDC,SECTOR=S14 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_5_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE5_T117,DSD_NAMAIN10@DF_TABLE5_T501,DSD_NAMAIN10@DF_TABLE5_T502/latest RELATED_DATA Annual households final consumption expenditure (for 'Developer API') Dépenses annuelles de consommation finale des ménages ('API pour développeur') This dataset provides the whole set of OECD annual households final consumption expenditure data and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. <br><br> The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. <br><br> To get started check the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a> <br>.For any question <a href="https://www.oecd.org/contact/">contact us</a> Cet ensemble de données fournit la totalité des données de dépenses annuelles de consommation finale des ménages et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus.<br><br> L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche.<br><br> Veuillez consulter la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation API (en anglais seulement)</a> <br>. Pour toute question <a href=" https://www.oecd.org/contact/">contactez -nous</a> <br>. NonProductionDataflow true TRANSACTION,EXPENDITURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N,SECTOR=S14,COUNTERPART_SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,PRICE_BASE=V,UNIT_MEASURE=XDC,SECTOR=S14 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0001 SEARCH_WEIGHT V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE5A_T117,DSD_NAMAIN10@DF_TABLE5A_T501,DSD_NAMAIN10@DF_TABLE5A_T502/latest RELATED_DATA Annual household final consumption expenditure of durable goods and other goods and services (COICOP 2018) Dépenses annuelles de consommation finale des ménages pour les biens durables et autres biens et services (COICOP 2018) This table shows breakdowns of household final consumption expenditure on durable goods, semi-durable goods, non-durable goods, and services. Durable goods are defined as goods that can be used repeatedly or continuously over a period of considerably more than one year and have a substantially higher purchasers’ price than semi-durable goods and non-durable goods. Non-durable goods can only be used once or have a lifetime of considerably less than one year. Semi-durable goods differ from non-durable goods in that they can be used repeatedly or continuously over a period longer than a year and they differ from durable goods in that their expected lifetime of use, though longer than a year, is often significantly shorter and their purchasers’ price is substantially less.<br><br> Data is presented for each country in national currency as well as in euros for the European Union and the euro area. The information is presented in current prices, but users can select chain linked volumes and previous year prices using the ‘Price base’ filter.<br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE5 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente la répartition des dépenses de consommation finale des ménages en biens durables, biens semi-durables, biens non durables et services. Les biens durables sont définis comme des biens qui peuvent être utilisés de manière répétée ou continue sur une période bien supérieure à un an et dont le prix d’achat est nettement plus élevé que les biens semi-durables et les biens non durables. Les biens non durables ne peuvent être utilisés qu’une seule fois ou ont une durée de vie bien inférieure à un an. Les biens semi-durables diffèrent des biens non durables dans le sens où ils peuvent être utilisés de manière répétée ou continue sur une période supérieure à un an et ils diffèrent des biens durables dans le sens où leur durée de vie prévue, bien que supérieure à un an, est souvent nettement plus courte et leur prix d'achat est nettement inférieur. <br><br> Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. Les informations sont présentées en prix courants, mais les utilisateurs peuvent sélectionner les volumes chaînés et les prix de l'année précédente à l'aide du filtre « Type de prix ». <br ><br > Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE5. <br> Voir Modifications ANA pour plus d'informations sur les changements de méthodologie : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">Changements ANA< /a> <br> Explorez également la page Web des comptes nationaux de l'OCDE : <a href="https://www.oecd.org/sdd/na/">Page Web des comptes nationaux</a><br>Contact pour les statistiques de l'OCDE : <a href="mailto : STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,EXPENDITURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N,SECTOR=S14,COUNTERPART_SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,PRICE_BASE=V,UNIT_MEASURE=XDC,SECTOR=S14 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_5_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Annual household final consumption expenditure by purpose (COICOP 2018) (for 'Developer API') Dépenses annuelles de consommation finale des ménages (COICOP 2018) ('API pour développeur') This dataset provides the whole set of OECD annual households final consumption expenditure data (COICOP 2018) and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. <br><br> The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. <br><br> To get started check the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a> <br>.For any question <a href="https://www.oecd.org/contact/">contact us</a> Cet ensemble de données fournit la totalité des données de dépenses annuelles de consommation finale des ménages (COICOP 2018) et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus.<br><br> L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche.<br><br> Veuillez consulter la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation API (en anglais seulement)</a> <br>. Pour toute question <a href=" https://www.oecd.org/contact/">contactez -nous</a> <br>. NonProductionDataflow true TRANSACTION,EXPENDITURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N,SECTOR=S14,COUNTERPART_SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,PRICE_BASE=V,UNIT_MEASURE=XDC,SECTOR=S14 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0001 SEARCH_WEIGHT V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE5A_T117,DSD_NAMAIN10@DF_TABLE5A_T501,DSD_NAMAIN10@DF_TABLE5A_T502/latest RELATED_DATA Annual household final consumption expenditure by purpose (COICOP 2018) Dépenses annuelles de consommation finale des ménages (COICOP 2018) This table presents the final consumption expenditure of households broken down by the Classification of Individual Consumption According to Purpose (COICOP 2018). The totals are for all final consumption expenditure in the domestic economy, whether by residents or non-residents.<br><br>For countries for which data on Annual household final consumption expenditure by purpose are not yet available according to the COICOP 2018 classification, statistics can be found in this dataset:<a href="https://data-explorer.oecd.org/vis?fs%5b0%5d=Topic%2C1%7CEconomy%23ECO%23%7CNational%20accounts%23ECO_NAD%23&fs%5b1%5d=Topic%2C2%7CEconomy%23ECO%23%7CNational%20accounts%23ECO_NAD%23%7CGDP%20and%20non-financial%20accounts%23ECO_NAD_GNF%23&pg=0&fc=Topic&snb=88&df%5bds%5d=dsDisseminateFinalDMZ&df%5bid%5d=DSD_NAMAIN10%40DF_TABLE5_T501&df%5bag%5d=OECD.SDD.NAD&df%5bvs%5d=1.0&dq=A.AUT.S14......XDC.V..&lom=LASTNPERIODS&lo=5&to%5bTIME_PERIOD%5d=false">Annual household final consumption expenditure by purpose (COICOP)</a><br><br> The COICOP provides detailed breakdowns, so the presentation is on a country-by-country basis and users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. However, it is also possible to select a small number of expenditure categories in the ‘Expenditure’ filter to compare results for several countries.<br><br> Data is presented for each country in national currency as well as in euros for the European Union and the euro area. The information is presented in current prices, but users can select chain linked volumes and previous year prices using the ‘Price base’ filter. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente les dépenses de consommation finale des ménages ventilées selon la Classification des fonctions de consommation des ménages (COICOP 2018). Les totaux concernent toutes les dépenses de consommation finale dans l’économie nationale, qu’elles soient effectuées par des résidents ou des non-résidents. <br><br> La COICOP fournit des ventilations détaillées, la présentation se fait donc pays par pays et il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». Cependant, il est également possible de sélectionner un petit nombre de catégories de dépenses dans le filtre « Dépenses » pour comparer les résultats de plusieurs pays. <br><br>Pour les pays pour lesquels les données sur les dépenses annuelles de consommation finale des ménages ne sont pas encore disponibles selon la classification COICOP 2018, les statistiques peuvent être trouvées dans l'ensemble de données: <a href="https://data-explorer.oecd.org/vis?pg=0&snb=88&df%5bds%5d=dsDisseminateFinalDMZ&df%5bid%5d=DSD_NAMAIN10%40DF_TABLE5_T501&df%5bag%5d=OECD.SDD.NAD&df%5bvs%5d=1.0&dq=A.AUT.S14......XDC.V..&lom=LASTNPERIODS&lo=5&to%5bTIME_PERIOD%5d=false&ly%5bcl%5d=TIME_PERIOD&ly%5brw%5d=COMBINED_UNIT_MEASURE%2CEXPENDITURE&lc=fr">Dépenses annuelles de consommation finale des ménages (COICOP)</a><br><br> Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. Les informations sont présentées en prix courants, mais les utilisateurs peuvent sélectionner les volumes chaînés et les prix de l'année précédente à l'aide du filtre « Type de prix ». <br> <br> <br> Voir Modifications ANA pour plus d'informations sur les changements de méthodologie : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">Changements ANA< /a> <br> Explorez également la page Web des comptes nationaux de l'OCDE : <a href="https://www.oecd.org/sdd/na/">Page Web des comptes nationaux</a><br>Contact pour les statistiques de l'OCDE : <a href="mailto : STAT.Contact@oecd.org">STAT.Contact@oecd.org</a NonProductionDataflow true TRANSACTION,EXPENDITURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N,SECTOR=S14,COUNTERPART_SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,PRICE_BASE=V,UNIT_MEASURE=XDC,SECTOR=S14 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0001 SEARCH_WEIGHT V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE5A_T117,DSD_NAMAIN10@DF_TABLE5A_T501,DSD_NAMAIN10@DF_TABLE5A_T502/latest RELATED_DATA Annual household final consumption expenditure on the territory and abroad (COICOP 2018) Dépenses annuelles de consommation finale des ménages sur le territoire et à l'étranger (COICOP 2018) This table presents the final consumption expenditure of households broken down by where it takes place. It looks at residents’ purchases abroad and non-residents’ purchases in the domestic economy; and it presents totals for all consumption by the country’s residents (whether at home or abroad) and all consumption at home, whether by residents or non-residents.<br><br> Data is presented for each country in national currency as well as in euros for the European Union and the euro area. The information is presented in current prices, but users can select chain linked volumes and previous year prices using the ‘Price base’ filter. <br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE5 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente les dépenses de consommation finale des ménages ventilées selon le lieu où elles sont réalisées. Il examine les achats des résidents à l’étranger et les achats des non-résidents dans l’économie nationale ; et il fournit les totaux de toute la consommation des résidents du pays (que ce soit dans le pays ou à l’étranger) et de toute la consommation intérieure, qu’elle soit des résidents ou des non-résidents. <br><br> Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. Les informations sont présentées en prix courants, mais les utilisateurs peuvent sélectionner les volumes chaînés et les prix de l'année précédente à l'aide du filtre « Type de prix ». <br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE5 <br> Voir Modifications ANA pour plus d'informations sur les changements de méthodologie : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">Changements ANA< /a> <br> Explorez également la page Web des comptes nationaux de l'OCDE : <a href="https://www.oecd.org/sdd/na/">Page Web des comptes nationaux</a><br>Contact pour les statistiques de l'OCDE : <a href="mailto : STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,EXPENDITURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N,SECTOR=S14,COUNTERPART_SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,PRICE_BASE=V,UNIT_MEASURE=XDC,SECTOR=S14 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0001 SEARCH_WEIGHT V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE5_T117,DSD_NAMAIN10@DF_TABLE5_T501,DSD_NAMAIN10@DF_TABLE5_T502/latest RELATED_DATA Annual household final consumption expenditure of durable goods and other goods and services Dépenses annuelles de consommation finale des ménages pour les biens durables et autres biens et services This table shows breakdowns of household final consumption expenditure on durable goods, semi-durable goods, non-durable goods, and services. Durable goods are defined as goods that can be used repeatedly or continuously over a period of considerably more than one year and have a substantially higher purchasers’ price than semi-durable goods and non-durable goods. Non-durable goods can only be used once or have a lifetime of considerably less than one year. Semi-durable goods differ from non-durable goods in that they can be used repeatedly or continuously over a period longer than a year and they differ from durable goods in that their expected lifetime of use, though longer than a year, is often significantly shorter and their purchasers’ price is substantially less.<br><br>For countries for which data on Annual household final consumption expenditure are already available according to the COICOP 2018 classification, statistics can be found in dataset: <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_NAMAIN10%40DF_TABLE5A_T117&df[ag]=OECD.SDD.NAD&df[vs]=2.0">Annual household final consumption expenditure of durable goods and other goods and services (COICOP 2018)</a><br><br> Data is presented for each country in national currency as well as in euros for the European Union and the euro area. The information is presented in current prices, but users can select chain linked volumes and previous year prices using the ‘Price base’ filter.<br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE5 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente la répartition des dépenses de consommation finale des ménages en biens durables, biens semi-durables, biens non durables et services. Les biens durables sont définis comme des biens qui peuvent être utilisés de manière répétée ou continue sur une période bien supérieure à un an et dont le prix d’achat est nettement plus élevé que les biens semi-durables et les biens non durables. Les biens non durables ne peuvent être utilisés qu’une seule fois ou ont une durée de vie bien inférieure à un an. Les biens semi-durables diffèrent des biens non durables dans le sens où ils peuvent être utilisés de manière répétée ou continue sur une période supérieure à un an et ils diffèrent des biens durables dans le sens où leur durée de vie prévue, bien que supérieure à un an, est souvent nettement plus courte et leur prix d'achat est nettement inférieur. <br><br>Pour les pays pour lesquels des données sur les dépenses annuelles de consommation finale des ménages sont déjà disponibles selon la classification COICOP 2018, les statistiques peuvent être trouvées dans l'ensemble de données: <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_NAMAIN10%40DF_TABLE5A_T117&df[ag]=OECD.SDD.NAD&df[vs]=2.0&dq=A..S14......XDC.V..&lom=LASTNPERIODS&lo=5&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=COMBINED_UNIT_MEASURE%2CREF_AREA%2CTRANSACTION&lc=fr&pg=0">Dépenses annuelles de consommation finale des ménages de biens durables et autres biens et services (COICOP 2018)</a><br><br> Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. Les informations sont présentées en prix courants, mais les utilisateurs peuvent sélectionner les volumes chaînés et les prix de l'année précédente à l'aide du filtre « Type de prix ». <br ><br > Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE5. <br> Voir Modifications ANA pour plus d'informations sur les changements de méthodologie : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">Changements ANA< /a> <br> Explorez également la page Web des comptes nationaux de l'OCDE : <a href="https://www.oecd.org/sdd/na/">Page Web des comptes nationaux</a><br>Contact pour les statistiques de l'OCDE : <a href="mailto : STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,EXPENDITURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N,SECTOR=S14,COUNTERPART_SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,PRICE_BASE=V,UNIT_MEASURE=XDC,SECTOR=S14 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0001 SEARCH_WEIGHT V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE5_T117,DSD_NAMAIN10@DF_TABLE5_T501,DSD_NAMAIN10@DF_TABLE5_T502/latest RELATED_DATA Annual household final consumption expenditure by purpose (COICOP) Dépenses annuelles de consommation finale des ménages (COICOP) This table presents the final consumption expenditure of households broken down by the Classification of Individual Consumption According to Purpose (COICOP). The totals are for all final consumption expenditure in the domestic economy, whether by residents or non-residents.<br><br>For countries for which data on Annual household final consumption expenditure by purpose are already available according to the COICOP 2018 classification, statistics can be found in dataset: <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_NAMAIN10%40DF_TABLE5A_T501&df[ag]=OECD.SDD.NAD&df[vs]=2.0">Annual household final consumption expenditure by purpose (COICOP 2018)</a><br><br> The COICOP provides detailed breakdowns, so the presentation is on a country-by-country basis and users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. However, it is also possible to select a small number of expenditure categories in the ‘Expenditure’ filter to compare results for several countries.<br><br> Data is presented for each country in national currency as well as in euros for the European Union and the euro area. The information is presented in current prices, but users can select chain linked volumes and previous year prices using the ‘Price base’ filter. <br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE5 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente les dépenses de consommation finale des ménages ventilées selon la Classification des fonctions de consommation des ménages (COICOP). Les totaux concernent toutes les dépenses de consommation finale dans l’économie nationale, qu’elles soient effectuées par des résidents ou des non-résidents. <br><br>Pour les pays pour lesquels des données sur les dépenses annuelles de consommation finale des ménages sont déjà disponibles selon la classification COICOP 2018, les statistiques peuvent être trouvées dans l'ensemble de données: <a href="https://data-explorer.oecd.org/vis?lc=fr&pg=0&snb=16&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_NAMAIN10%40DF_TABLE5A_T502&df[ag]=OECD.SDD.NAD&df[vs]=2.0&dq=A..S14......XDC.V..&lom=LASTNPERIODS&lo=5&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rs]=REF_AREA&ly[rw]=TRANSACTION%2CCOMBINED_UNIT_MEASURE">Dépenses annuelles de consommation finale des ménages (COICOP 2018)</a><br><br> La COICOP fournit des ventilations détaillées, la présentation se fait donc pays par pays et il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». Cependant, il est également possible de sélectionner un petit nombre de catégories de dépenses dans le filtre « Dépenses » pour comparer les résultats de plusieurs pays. <br><br> Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. Les informations sont présentées en prix courants, mais les utilisateurs peuvent sélectionner les volumes chaînés et les prix de l'année précédente à l'aide du filtre « Type de prix ». <br> <br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE5. <br> Voir Modifications ANA pour plus d'informations sur les changements de méthodologie : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">Changements ANA< /a> <br> Explorez également la page Web des comptes nationaux de l'OCDE : <a href="https://www.oecd.org/sdd/na/">Page Web des comptes nationaux</a><br>Contact pour les statistiques de l'OCDE : <a href="mailto : STAT.Contact@oecd.org">STAT.Contact@oecd.org</a NonProductionDataflow true TRANSACTION,EXPENDITURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,TRANSFORMATION=N,SECTOR=S14,COUNTERPART_SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,PRICE_BASE=V,UNIT_MEASURE=XDC,SECTOR=S14 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0001 SEARCH_WEIGHT V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC10@DF_TABLE12,DSD_NASEC10@DF_TABLE10,DSD_NASEC10@DF_TABLE11,DSD_NASEC10@DF_TABLE12_EXP,DSD_NASEC10@DF_TABLE12_REV,DSD_NASEC10@DF_TABLE12_BAL,DSD_NASEC10@DF_TABLE14_EXP,DSD_NASEC10@DF_TABLE14_REV/latest RELATED_DATA Annual household final consumption expenditure on the territory and abroad Dépenses annuelles de consommation finale des ménages sur le territoire et à l'étranger This table presents the final consumption expenditure of households broken down by where it takes place. It looks at residents’ purchases abroad and non-residents’ purchases in the domestic economy; and it presents totals for all consumption by the country’s residents (whether at home or abroad) and all consumption at home, whether by residents or non-residents.<br><br>For countries for which data on Annual household final consumption expenditure are already available according to the COICOP 2018 classification, statistics can be found in dataset: <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_NAMAIN10%40DF_TABLE5_T502&df[ag]=OECD.SDD.NAD&df[vs]=1.0">Annual household final consumption expenditure on the territory and abroad (COICOP 2018)</a><br><br> Data is presented for each country in national currency as well as in euros for the European Union and the euro area. The information is presented in current prices, but users can select chain linked volumes and previous year prices using the ‘Price base’ filter. <br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE5 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente les dépenses de consommation finale des ménages ventilées selon le lieu où elles sont réalisées. Il examine les achats des résidents à l’étranger et les achats des non-résidents dans l’économie nationale ; et il fournit les totaux de toute la consommation des résidents du pays (que ce soit dans le pays ou à l’étranger) et de toute la consommation intérieure, qu’elle soit des résidents ou des non-résidents. <br><br>Pour les pays pour lesquels des données sur les dépenses annuelles de consommation finale des ménages sont déjà disponibles selon la classification COICOP 2018, les statistiques peuvent être trouvées dans l'ensemble de données: <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_NAMAIN10%40DF_TABLE5_T502&df[ag]=OECD.SDD.NAD&df[vs]=1.0">Dépenses annuelles de consommation finale des ménages sur le territoire et à l'étranger (COICOP 2018)</a><br><br> Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. Les informations sont présentées en prix courants, mais les utilisateurs peuvent sélectionner les volumes chaînés et les prix de l'année précédente à l'aide du filtre « Type de prix ». <br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE5 <br> Voir Modifications ANA pour plus d'informations sur les changements de méthodologie : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">Changements ANA< /a> <br> Explorez également la page Web des comptes nationaux de l'OCDE : <a href="https://www.oecd.org/sdd/na/">Page Web des comptes nationaux</a><br>Contact pour les statistiques de l'OCDE : <a href="mailto : STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,ACTIVITY,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,TRANSFORMATION=N,TRANSACTION=B1GQ NOT_DISPLAYED PRICE_BASE=V,REF_AREA=AUS,TRANSACTION=B1G DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_OUTPUT,DSD_NAMAIN10@DF_TABLE3_EMPDC,DSD_NAMAIN10@DF_TABLE6,DSD_NAMAIN10@DF_TABLE7,DSD_NAMAIN10@DF_TABLE8,DSD_NAMAIN10@DF_TABLE9A/latest RELATED_DATA Annual value added and its components by economic activity Valeur ajoutée annuelle et ses composantes par activité économique This table presents gross value added by economic activity based on detailed breakdowns of Revision 4 of the International Standard Industrial Classification of All Economic Activities (ISIC). The table also presents detailed ISIC data for output, intermediate consumption and consumption of fixed capital (depreciation), as well as for components of gross value added (GVA) such as wages and salaries and net operating surplus (business profits) and mixed income (profits of the self-employed). These can be selected using the ‘Transaction filter’.<br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. Data is presented for each country in national currency as well as in euros for the European Union and the euro area. Data is presented in current prices (default view), but for some items it is possible to select chain linked volume and other price measures using the ‘Price base’ filter.<br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE6A dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente la valeur ajoutée brute par activité économique sur la base des ventilations détaillées de la révision 4 de la Classification internationale type, par industrie, de toutes les activités économiques (CITI). <br><br> Le tableau présente également des données détaillées de la CITI pour la production, la consommation intermédiaire et la consommation de capital fixe (dépréciation), ainsi que pour les composantes de la valeur ajoutée brute (VAB) telles que les salaires et traitements, l'excédent net d'exploitation (bénéfices des entreprises) et le revenu mixte ( bénéfices des travailleurs indépendants). Ceux-ci peuvent être sélectionnés à l'aide du filtre «Transaction».<br><br> La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. Les données sont présentées en prix courants (vue par défaut), mais pour certains articles, il est possible de sélectionner le volume chaîné et d'autres mesures de prix à l'aide du filtre « Type de prix ».<br><br> Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE6A. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,ACTIVITY,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,CURRENCY,TRANSFORMATION=N,EXPENDITURE NOT_DISPLAYED REF_AREA=AUT,TRANSACTION=EMP,UNIT_MEASURE=PS DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE3_EMPDC,DSD_NAMAIN10@DF_TABLE6,DSD_NAMAIN10@DF_TABLE7,DSD_NAMAIN10@DF_TABLE3/latest RELATED_DATA Annual employment by detailed economic activity, domestic concept Emploi annuel par activité économique détaillée, concept intérieur This table presents employment data by economic activity based on detailed breakdowns of Revision 4 of the International Standard Industrial Classification of All Economic Activities (ISIC), according to the domestic concept. The domestic concept is defined by the location of the producer unit: employees are residents and non-residents employed by resident producer units; and self-employed people are resident and non-resident self-employed people in resident producer units. <br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for persons, but users can select alternative views for jobs and hours using the ‘Unit of measure’ filter.<br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE7A dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente les données sur l'emploi par activité économique sur la base des ventilations détaillées de la révision 4 de la Classification internationale type, par industrie, de toutes les activités économiques (CITI), selon le concept intérieur. Le concept intérieur est défini par la localisation de l'unité de productrion : les salariés sont des résidents et des non-résidents employés par des unités de productrion résidentes ; et les travailleurs indépendants sont les travailleurs indépendants résidents et non-résidents dans des unités de production résidentes. <br><br>La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». La vue par défaut du tableau concerne les personnes, mais les utilisateurs peuvent sélectionner des vues alternatives pour les emplois et les heures à l'aide du filtre « Unité de mesure ». <br><br> Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE7A. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,INSTR_ASSET,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,TRANSFORMATION=N,TRANSACTION=B1GQ+P5 NOT_DISPLAYED PRICE_BASE=V,REF_AREA=AUS,TRANSACTION=P51G,INSTR_ASSET=N11G DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_ANA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_8_ANA(1.0).H HIER_CONTEXT COMBINED_TRANSACTION:TRANSACTION,INSTR_ASSET,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_GFCF_ASSET,DSD_NAMAIN10@DF_TABLE8,DSD_NAMAIN10@DF_TABLE9A,DSD_NASEC10@DF_TABLE9B,DSD_NASEC10@DF_TABLE14_GFCF/latest RELATED_DATA Annual capital formation by economic activity Formation de capital annuelle par activité économique This table presents gross capital formation, gross fixed capital formation (GFCF, or investment), changes in inventories and acquisition less disposals of valuables broken down by detailed industries based on detailed breakdowns of Revision 4 of the International Standard Industrial Classification of All Economic Activities (ISIC). GFCF is also available broken down by type of non-financial asset, which can be selected using the ‘Financial instruments and non-financial assets’ filter.<br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. Data is presented for each country in national currency as well as in euros for the European Union and the euro area. Data is presented in current prices (default view), but it is also possible to select chain linked volume and other price measures using the ‘Price base’ filter.<br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE8A dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente la formation brute de capital, la formation brute de capital fixe (FBCF ou investissement), les variations des stocks et les acquisitions moins les cessions d'objets de valeur, ventilées par industries, détaillées sur la base des ventilations détaillées de la révision 4 de la Classification internationale type, par industrie, de toutes les activités économiques ( CITI).<br><br> La FBCF est également disponible ventilée par type d'actifs non financiers, sélectionnables à l'aide du filtre « Instruments financiers et actifs non financiers ».<br><br> La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. Les données sont présentées aux prix courants (vue par défaut), mais il est également possible de sélectionner des volumes chaînés et d'autres mesures de prix à l'aide du filtre « Type de prix ».<br><br> Ces indicateurs étaient présentés dans le système de diffusion précédent dans le Ensemble de données SNA_TABLE8A. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true ACTIVITY,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,TRANSFORMATION=N NOT_DISPLAYED PRICE_BASE=V,REF_AREA=AUT,INSTR_ASSET=N11G,UNIT_MEASURE=XDC DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_ANA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_9A_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE1_EXPENDITURE,DSD_NAMAIN10@DF_TABLE1_EXPENDITURE_GFCF_ASSET,DSD_NAMAIN10@DF_TABLE8,DSD_NAMAIN10@DF_TABLE9A,DSD_NASEC10@DF_TABLE9B,DSD_NASEC10@DF_TABLE14_GFCF/latest RELATED_DATA Annual fixed assets by economic activity and by asset Actifs fixes annuels par activité économique et par type d'actifs This table presents fixed assets (such as dwellings and other buildings, machinery and equipment, computer software and databases) by detailed breakdowns of Revision 4 of the International Standard Industrial Classification of All Economic Activities (ISIC). Assets are shown on both gross and net bases, the net value of an asset is calculated as its gross value decreased by the value of consumption of fixed capital (depreciation). <br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. Data is presented for each country in national currency as well as in euros for the European Union and the euro area. Results are in current prices, but it is also possible to select chain linked volume and previous year price measures using the ‘Price base’ filter.<br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE9A dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente les immobilisations (telles que les logements et autres bâtiments, les machines et équipements, les logiciels informatiques et les bases de données) selon les ventilations détaillées de la révision 4 de la Classification internationale type, par industrie, de toutes les activités économiques (CITI). <br><br>Les actifs sont présentés en valeurs brutes et nettes. La valeur nette d'un actif est calculée comme sa valeur brute diminuée de la valeur de la consommation de capital fixe (amortissement).<br><br> La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. Les résultats sont en prix courants, mais il est également possible de sélectionner des mesures de volume chaînées et de prix de l'année précédente à l'aide du filtre « Type de prix ».<br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE9A. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true Annual final consumption expenditure of households International Transfer NonProductionDataflow true Annual value added and its components by activity International Transfer NonProductionDataflow true Annual labour input by activity International Transfer NonProductionDataflow true Annual capital formation by activity International Transfer NonProductionDataflow true Annual fixed assets by activity and by asset International Transfer NonProductionDataflow true TRANSACTION,SECTOR,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,ADJUSTMENT,UNIT_MEASURE,PRICE_BASE,TRANSFORMATION LAYOUT_ROW_SECTION TRANSFORMATION=N,ACTIVITY=(_T+_Z),EXPENDITURE=(_T+_Z),COUNTERPART_SECTOR,OBS_STATUS=A,CONF_STATUS=F,ADJUSTMENT=N NOT_DISPLAYED FREQ=Q,REF_AREA=AUT,LASTNPERIODS=5,INSTR_ASSET=_Z,TABLE_IDENTIFIER=T0102 DEFAULT COMBINED_TRANSACTION:TRANSACTION,SECTOR;COMBINED_UNIT_MEASURE:REF_YEAR_PRICE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.SDD.NAD:HCL_SECTOR_QNA(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA Quarterly National Accounts (for 'Developer API') Comptes nationaux trimestriels ('API pour développeur') This dataset provides the whole set of OECD Quarterly National Accounts data and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. <br><br>The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. <br><br>To get started check the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a>. For any question <a href="https://www.oecd.org/contact/">contact us</a><br><br>The mapping table between old OECD.Stat and new OECD Data Explorer codes is available <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f3645d15-8af4-4bf3-a6ef-35047d983f64">here</a>. <br><br>These indicators were presented in the previous dissemination system in the QNA dataset. <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Cet ensemble de données fournit la totalité des données des comptes nationaux trimestriels de l'OCDE et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus. <br><br>L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche. <br><br>Veuillez consulter la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation API (en anglais seulement)</a>. Pour toute question <a href="https://www.oecd.org/fr/contact/">contactez-nous</a>.<br><br>Le tableau de correspondance entre les anciens codes de OECD.Stat et les nouveaux codes de OECD Data Explorer est disponible <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f3645d15-8af4-4bf3-a6ef-35047d983f64">ici</a>. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,ACTIVITY,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,ADJUSTMENT LAYOUT_ROW_SECTION TRANSFORMATION=N,EXPENDITURE=(_T+_Z),INSTR_ASSET,COUNTERPART_SECTOR,SECTOR=S1,OBS_STATUS=A,CONF_STATUS=F,UNIT_MEASURE,ADJUSTMENT=N,TABLE_IDENTIFIER NOT_DISPLAYED FREQ=Q,REF_AREA=AUT,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_QNA(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_COE_QNA(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT Quarterly compensation of employees by economic activity Rémunération trimestrielle des salariés par activité économique This table presents compensation of employees by main economic activity following the high-level categories in the International Standard Industrial Classification of All Economic Activities (ISIC), Revision 4. The components of compensation of employees, wages and salaries and employers’ social contributions, are also broken down by main economic activity. Data is presented for each country in national currency as well as in euros for the European Union and the euro area. <br><br>In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. <br><br>These indicators were presented in the previous dissemination system in the QNA dataset. <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente la rémunération des salariés par activité économique principale selon les catégories de haut niveau de la Classification internationale type par industrie de toutes les branches d'activité économique (CITI), révision 4. Les composantes de la rémunération des salariés, à savoir les salaires et traitements et les cotisations sociales à la charge des employeurs, sont également ventilées par activité économique principale. <br><br>Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "zone de référence'. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,ACTIVITY,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,ADJUSTMENT,UNIT_MEASURE LAYOUT_ROW_SECTION TRANSFORMATION=N,EXPENDITURE=(_T+_Z),INSTR_ASSET,SECTOR=S1,COUNTERPART_SECTOR,OBS_STATUS=A,CONF_STATUS=F,ADJUSTMENT=N,TABLE_IDENTIFIER NOT_DISPLAYED FREQ=Q,REF_AREA=AUT,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE,ADJUSTMENT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.SDD.NAD:HCL_SECTOR_QNA(1.0).H,ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_QNA(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT Quarterly employment by economic activity, domestic concept Emploi trimestriel par activité économique, concept intérieur This table presents total employment and its components (employees and the self-employed) by main economic activity based on the International Standard Industrial Classification of All Economic Activities (ISIC), Revision 4. Data is presented according to the domestic concept, which is defined by the location of the producer unit: employment refers to residents and non-residents who are employed (or self-employed) in resident producer units. Data is available in persons and hours worked. <br><br>In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. <br><br>These indicators were presented in the previous dissemination system in the QNA dataset. <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente l'emploi total et ses composantes (salariés et travailleurs indépendants) par activité économique principale selon la Classification internationale type, par industrie, de toutes les branches d'activité économique (CITI), révision 4. Les données sont présentées selon le concept intérieur, qui est défini par la localisation de l'unité productrice : l'emploi se réfère aux résidents et aux non-résidents qui sont employés (ou sont travailleurs indépendants) dans des unités productrices résidentes. Les données sont disponibles en personnes et en heures travaillées. <br><br>Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "zone de référence'. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,SECTOR,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,ADJUSTMENT,PRICE_BASE LAYOUT_ROW_SECTION TRANSFORMATION=N,EXPENDITURE=_Z,INSTR_ASSET,COUNTERPART_SECTOR,OBS_STATUS=A,CONF_STATUS=F,UNIT_MEASURE,ADJUSTMENT=N,ACTIVITY=_Z,TABLE_IDENTIFIER NOT_DISPLAYED FREQ=Q,REF_AREA=AUT,LASTNPERIODS=5 DEFAULT COMBINED_TRANSACTION:TRANSACTION,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE,REF_YEAR_PRICE,CURRENCY COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.SDD.NAD:HCL_SECTOR_QNA(1.0).H,ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_QNA(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT Quarterly GDP and components - output approach PIB trimestriel et composantes - approche de la production This table presents Gross Domestic Product (GDP) and its components according to the output approach. In the output approach, GDP is measured as the sum of gross value added (GVA) of all economic activities plus taxes less subsidies on products. This table includes breakdowns of GVA by type of economic activity according to Revision 4 of the International Standard Industrial Classification of All Economic Activities (ISIC). <br><br>Data is presented for each country in national currency as well as in euros for the European Union and the euro area. The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. <br><br>These indicators were presented in the previous dissemination system in the QNA dataset. <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le produit intérieur brut (PIB) et ses composantes selon l'approche par la production. Dans l'approche par la production, le PIB est mesuré comme la somme de la valeur ajoutée brute (VAB) de toutes les activités économiques plus les impôts moins les subventions sur les produits. Ce tableau comprend des ventilations de la VAB par type d'activité économique selon la révision 4 de la Classification internationale type, par industrie, de toutes les branches d'activité économique (CITI). <br><br><b>Les données actuellement affichées sur le Data Explorer de l'OCDE sont uniquement destinées à des fins de test, car elles ne reflètent pas encore les dernières mises à jour. Pour obtenir les données les plus récentes, veuillez consulter les <a href="https://stats.oecd.org/Index.aspx?DataSetCode=QNA">Statistiques de l'OCDE</a>.</b> <br><br>Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "zone de référence'. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSACTION,SECTOR,PRICE_BASE LAYOUT_ROW_SECTION TRANSFORMATION=N,ACTIVITY=(_T+_Z),EXPENDITURE=(_T+_Z),INSTR_ASSET,COUNTERPART_SECTOR,OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT,CURRENCY,TABLE_IDENTIFIER NOT_DISPLAYED FREQ=Q,LASTNPERIODS=5 DEFAULT COMBINED_TRANSACTION:TRANSACTION,SECTOR;COMBINED_UNIT_MEASURE:TRANSFORMATION,ADJUSTMENT,UNIT_MEASURE,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.SDD.NAD:HCL_SECTOR_QNA(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT Quarterly GDP per capita PIB trimestriel par tête This table presents Gross Domestic Product (GDP) per capita (or per person) according to the expenditure approach. Data is presented in US dollars. In the expenditure approach, GDP is made up of final consumption expenditure of households and non-profit institutions serving households plus final consumption expenditure of General Government plus gross fixed capital formation (or investment) plus net trade (exports minus imports). <br><br>The table shows OECD countries and some other economies, as well as the OECD total, G20, G7, OECD Europe, United States - Mexico - Canada Agreement (USMCA), European Union and euro area. <br><br>These indicators were presented in the previous dissemination system in the QNA dataset. <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le Produit Intérieur Brut (PIB) par tête (ou par personne) selon l'approche par les dépenses. Les données sont présentées en dollars des Etats-Unis. Dans l'approche par les dépenses, les composantes du PIB sont : les dépenses de consommation finale des ménages et des institutions sans but lucratif au service des ménages (ISBLSM) plus les dépenses de consommation finale des administrations publiques plus la formation brute de capital fixe (ou investissement) plus le commerce net (exportations moins importations). <br><br>En utilisant les filtres, veuillez noter que les dépenses de consommation finale sont montrées séparément pour les secteurs des ménages/NPISH et des administrations publiques, et non pour l'économie totale. Les autres composantes du PIB sont montrées pour l'économie totale, et non pour les secteurs détaillés. <br>Les données sont présentées pour les pays de l'OCDE individuellement, ainsi que pour les zones OCDE total, G20, G7, OCDE Europe, Accord Canada–États-Unis–Mexique (ACEUM), Union européenne et zone euro. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,SECTOR LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION ACTIVITY=(_T+_Z),EXPENDITURE=(_T+_Z),INSTR_ASSET,COUNTERPART_SECTOR,OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT,SECTOR=S1,TABLE_IDENTIFIER NOT_DISPLAYED FREQ=Q,LASTNPERIODS=5 DEFAULT COMBINED_TRANSACTION:TRANSACTION,SECTOR;COMBINED_UNIT_MEASURE:TRANSFORMATION,UNIT_MEASURE,ADJUSTMENT COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.SDD.NAD:HCL_SECTOR_QNA(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_EXP_CONTR1_QNA(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT Quarterly GDP and components - expenditure approach, real growth rates and contributions to real growth PIB trimestriel et composantes - approche des dépenses, taux de croissance réelle et contributions à la croissance réelle This table presents growth rates for Gross Domestic Product (GDP) and its main components according to the expenditure approach, as well as the contribution to GDP growth of each of the components (in percentage points). In the expenditure approach, the components of GDP are: final consumption expenditure of households and non-profit institutions serving households (NPISH) plus final consumption expenditure of General Government plus gross fixed capital formation (or investment) plus net trade (exports minus imports). <br><br>When using the filters, please note that final consumption expenditure is shown separately for the Households/NPISH and General Government sectors, not for the whole economy. All other components of GDP are shown for the whole economy, not for the sector breakdowns.<br><br>The growth rates for GDP and its main components shown in this table are the same as those shown in Quarterly real GDP growth - OECD countries, but here the contributions of the components to real GDP growth are also shown for the G7 countries and the OECD total.<br><br>These indicators were presented in the previous dissemination system in the QNA dataset. <br><br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le Produit Intérieur Brut (PIB) et ses composantes principales selon l'approche par les dépenses, ainsi que les contributions de chaque composante du PIB à la croissance du PIB (en points de pourcentage). Dans l'approche par les dépenses, les composantes du PIB sont : les dépenses de consommation finale des ménages et des institutions sans but lucratif au service des ménages (ISBLSM) plus les dépenses de consommation finale des administrations publiques plus la formation brute de capital fixe (ou investissement) plus le commerce net (exportations moins importations). <br><br>En utilisant les filtres, veuillez noter que les dépenses de consommation finale sont montrées séparément pour les secteurs des ménages/NPISH et des administrations publiques, et non pour l'économie totale. Les autres composantes du PIB sont montrées pour l'économie totale, et non pour les secteurs détaillés. <br><br>Les taux de croissance du PIB et de ses composantes montrés dans ce tableau sont les mêmes que ceux montrés dans le tableau de la croissance trimestrielle réelle du PIB pour les pays de l'OCDE, mais ici les contributions des composantes sont montrées pour les pays du G7 et l'OCDE total seulement. <br>Les données sont présentées pour les pays du G20 individuellement, ainsi que pour les zones OCDE total, G20, G7, OCDE Europe, Accord Canada–États-Unis–Mexique (ACEUM), Union européenne et zone euro. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,ADJUSTMENT,PRICE_BASE LAYOUT_ROW_SECTION TRANSFORMATION=N,ACTIVITY=(_T+_Z),EXPENDITURE=(_T+_Z),INSTR_ASSET,COUNTERPART_SECTOR,OBS_STATUS=A,CONF_STATUS=F,UNIT_MEASURE,ADJUSTMENT=N,SECTOR=(S1+S1M),TABLE_IDENTIFIER NOT_DISPLAYED FREQ=Q,REF_AREA=AUT,LASTNPERIODS=5,SECTOR=S14 DEFAULT COMBINED_UNIT_MEASURE:REF_YEAR_PRICE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.SDD.NAD:HCL_SECTOR_QNA(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_EXP_DUR_QNA(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT Quarterly household final consumption expenditure of durable goods and other goods and services Dépenses trimestrielles de consommation finale des ménages pour les biens durables et autres biens et services This table includes breakdowns of household final consumption expenditure on durable goods, semi-durable goods, non-durable goods, and services. Durable goods are defined as goods that can be used repeatedly or continuously over a period of considerably more than one year and have a substantially higher purchasers’ price than semi-durable goods and non-durable goods. Non-durable goods can only be used once or have a lifetime of considerably less than one year. Semi-durable goods differ from non-durable goods in that they can be used repeatedly or continuously over a period longer than a year and they differ from durable goods in that their expected lifetime of use, though longer than a year, is often significantly shorter and their purchasers’ price is substantially less. <br><br>Data is presented for each country in national currency as well as in euros for the European Union and the euro area. The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. <br><br>These indicators were presented in the previous dissemination system in the QNA dataset. <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau comprend des ventilations des dépenses de consommation finale des ménages pour les biens durables, les biens semi-durables, les biens non durables et les services. Les biens durables sont définis comme des biens qui peuvent être utilisés de manière répétée ou continue sur une période considérablement supérieure à un an et dont le prix d'achat est sensiblement plus élevé que celui des biens semi-durables et des biens non durables. Les biens non durables ne peuvent être utilisés qu'une seule fois ou ont une durée de vie nettement inférieure à un an. Les biens semi-durables diffèrent des biens non durables en ce qu'ils peuvent être utilisés de manière répétée ou continue sur une période supérieure à un an et ils diffèrent des biens durables en ce que leur durée d'utilisation prévue, bien que supérieure à un an, est souvent nettement plus courte et que leur prix d'achat est nettement inférieur. <br><br>Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "zone de référence'. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,SECTOR,INSTR_ASSET,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,ADJUSTMENT,PRICE_BASE LAYOUT_ROW_SECTION TRANSFORMATION=N,ACTIVITY=(_T+_Z),EXPENDITURE=(_T+_Z),COUNTERPART_SECTOR,SECTOR=S1,OBS_STATUS=A,CONF_STATUS=F,UNIT_MEASURE,ADJUSTMENT=N,TABLE_IDENTIFIER NOT_DISPLAYED FREQ=Q,REF_AREA=AUT,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE,REF_YEAR_PRICE,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.SDD.NAD:HCL_SECTOR_QNA(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_GFCF_QNA(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT Quarterly GFCF by asset FBCF trimestrielle par actif This table presents Gross Fixed Capital Formation (GFCF, or investment) by asset. The asset breakdown covers items such as buildings, machinery and equipment, cultivated biological resources and intellectual property products. Data is presented for each country in national currency as well as in euros for the European Union and the euro area. <br><br>In this table, the presentation of GFCF and its breakdown is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. <br><br>These indicators were presented in the previous dissemination system in the QNA dataset. <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a><br> Ce tableau présente la formation brute de capital fixe (FBCF, ou investissement) par actif. La ventilation des actifs couvre des éléments tels que les bâtiments, les machines et équipements, les ressources biologiques cultivées et les produits de la propriété intellectuelle. Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. <br><br>Dans ce tableau, la présentation de la FBCF et sa ventilation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "zone de référence'. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,SECTOR LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,ADJUSTMENT,PRICE_BASE LAYOUT_ROW_SECTION TRANSFORMATION=N,ACTIVITY=(_T+_Z),EXPENDITURE=(_T+_Z),INSTR_ASSET,COUNTERPART_SECTOR,OBS_STATUS=A,CONF_STATUS=F,UNIT_MEASURE,ADJUSTMENT=N,TABLE_IDENTIFIER NOT_DISPLAYED FREQ=Q,REF_AREA=USA,LASTNPERIODS=5 DEFAULT COMBINED_TRANSACTION:TRANSACTION,SECTOR;COMBINED_UNIT_MEASURE:REF_YEAR_PRICE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.SDD.NAD:HCL_SECTOR_GFCF_SECTOR_QNA(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_GFCF_QNA(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT Quarterly GFCF by institutional sector FBCF trimestrielle par secteur institutionnel This table presents Gross Fixed Capital Formation (GFCF, or investment) by institutional sector. The institutional sector breakdown is for general government, which is made up of central, local and state (regional) government and social security; and sectors other than general government, which is made up of all other sectors of the economy. Data is presented for each country in national currency. <br><br>In this table, the presentation of GFCF and its breakdown is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. <br><br>These indicators were presented in the previous dissemination system in the QNA dataset. <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente la Formation Brute de Capital Fixe (FBCF, ou investissement) ventilée par secteur institutionnel. La ventilation par secteur institutionnel présente les administrations publiques, qui couvrent les administrations centrales, locales et d'États fédérés (régions) et la sécurité sociale; et les secteurs autres que les administrations publiques, c-à-d tous les autres secteurs de l'économie. <br><br>Dans ce tableau la présentation de la FBCF et de sa décomposition se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "zone de référence'. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSACTION,SECTOR,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION TRANSFORMATION=N,ACTIVITY=(_T+_Z),EXPENDITURE=(_T+_Z),INSTR_ASSET,COUNTERPART_SECTOR,OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT,UNIT_MEASURE,TABLE_IDENTIFIER NOT_DISPLAYED FREQ=Q,LASTNPERIODS=5,REF_AREA=ARG+AUS+BRA+CAN+CHN+FRA+DEU+IND+IDN+ITA+JPN+KOR+MEX+RUS+SAU+ZAF+TUR+GBR+USA+OECD+G20+G7+USMCA+OECDE+EA20+EU27_2020 DEFAULT COMBINED_TRANSACTION:TRANSACTION,SECTOR;COMBINED_UNIT_MEASURE:TRANSFORMATION,CURRENCY,PRICE_BASE,REF_YEAR_PRICE,ADJUSTMENT COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.SDD.NAD:HCL_SECTOR_QNA(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_EXP_QNA(1.0).H,.H HIER_CONTEXT REF_AREA:OECD.SDD.NAD:HCL_AREA_G20(1.0).H_EN REF_AREA:OECD.SDD.NAD:HCL_AREA_G20(1.0).H_FR 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT Quarterly real GDP growth - G20 countries Croissance trimestrielle réelle du PIB - pays du G20 This table presents Gross Domestic Product (GDP) and its main components according to the expenditure approach. Data is presented as growth rates. In the expenditure approach, the components of GDP are: final consumption expenditure of households and non-profit institutions serving households (NPISH) plus final consumption expenditure of General Government plus gross fixed capital formation (or investment) plus net trade (exports minus imports). <br><br>When using the filters, please note that final consumption expenditure is shown separately for the Households/NPISH and General Government sectors, not for the whole economy. All other components of GDP are shown for the whole economy, not for the sector breakdowns.<br>The data is presented for G20 countries individually, as well as the OECD total, G20, G7, OECD Europe, United States - Mexico - Canada Agreement (USMCA), European Union and euro area.<br><br>These indicators were presented in the previous dissemination system in the QNA dataset. <br><br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le Produit Intérieur Brut (PIB) et ses composantes principales selon l'approche par les dépenses. Les données sont présentées sous forme de taux de croissance. Dans l'approche par les dépenses, les composantes du PIB sont : les dépenses de consommation finale des ménages et des institutions sans but lucratif au service des ménages (ISBLSM) plus les dépenses de consommation finale des administrations publiques plus la formation brute de capital fixe (ou investissement) plus le commerce net (exportations moins importations). <br><br>En utilisant les filtres, veuillez noter que les dépenses de consommation finale sont montrées séparément pour les secteurs des ménages/NPISH et des administrations publiques, et non pour l'économie totale. Les autres composantes du PIB sont montrées pour l'économie totale, et non pour les secteurs détaillés. <br>Les données sont présentées pour les pays du G20 individuellement, ainsi que pour les zones OCDE total, G20, G7, OCDE Europe, Accord Canada–États-Unis–Mexique (ACEUM), Union européenne et zone euro. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSACTION,SECTOR,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION TRANSFORMATION=N,ACTIVITY=(_T+_Z),EXPENDITURE=(_T+_Z),INSTR_ASSET,COUNTERPART_SECTOR,OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT,UNIT_MEASURE,TABLE_IDENTIFIER NOT_DISPLAYED FREQ=Q,LASTNPERIODS=5,REF_AREA=AUS+AUT+BEL+CAN+CHE+CHL+COL+CRI+CZE+DEU+DNK+ESP+FIN+EST+FRA+GBR+GRC+HUN+ISL+LTU+IRL+ISR+ITA+JPN+KOR+LUX+LVA+MEX+NLD+NOR+NZL+POL+PRT+SVK+SVN+SWE+TUR+USA+OECD+G20+G7+USMCA+OECDE+EA20+EU27_2020 DEFAULT COMBINED_TRANSACTION:TRANSACTION,SECTOR;COMBINED_UNIT_MEASURE:TRANSFORMATION,CURRENCY,PRICE_BASE,REF_YEAR_PRICE,ADJUSTMENT COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.SDD.NAD:HCL_SECTOR_QNA(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_EXP_QNA(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT Quarterly real GDP growth - OECD countries Croissance trimestrielle réelle du PIB - pays de l'OCDE This table presents Gross Domestic Product (GDP) and its main components according to the expenditure approach. Data is presented as growth rates. In the expenditure approach, the components of GDP are: final consumption expenditure of households and non-profit institutions serving households (NPISH) plus final consumption expenditure of General Government plus gross fixed capital formation (or investment) plus net trade (exports minus imports). <br><br>When using the filters, please note that final consumption expenditure is shown separately for the Households/NPISH and General Government sectors, not for the whole economy. All other components of GDP are shown for the whole economy, not for the sector breakdowns.<br><br>The data is presented for OECD countries individually, as well as the OECD total, G20, G7, OECD Europe, United States - Mexico - Canada Agreement (USMCA), European Union and euro area. <br><br>These indicators were presented in the previous dissemination system in the QNA dataset. <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le Produit Intérieur Brut (PIB) et ses composantes principales selon l'approche par les dépenses. Les données sont présentées sous forme de taux de croissance. Dans l'approche par les dépenses, les composantes du PIB sont : les dépenses de consommation finale des ménages et des instituions sans but lucratif au service des ménages (ISBLSM) plus les dépenses de consommation finale des administrations publiques plus la formation brute de capital fixe (ou investissement) plus le commerce net (exportations moins importations). <br><br>En utilisant les filtres, veuillez noter que les dépenses de consommation finale sont montrées séparément pour les secteurs des ménages/NPISH et des administrations publiques, et non pour l'économie totale. Les autres composantes du PIB sont montrées pour l'économie totale, et non pour les secteurs détaillés. <br>Les données sont présentées pour les pays de l'OCDE individuellement, ainsi que pour les zones OCDE total, G20, G7, OCDE Europe, Accord Canada–États-Unis–Mexique (ACEUM), Union européenne et zone euro. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN PRICE_BASE,COMBINED_TRANSACTION LAYOUT_ROW_SECTION TRANSFORMATION=N,ACTIVITY=(_T+_Z),EXPENDITURE=(_T+_Z),INSTR_ASSET,COUNTERPART_SECTOR,OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT,CURRENCY=_Z,TABLE_IDENTIFIER NOT_DISPLAYED FREQ=Q,LASTNPERIODS=5 DEFAULT COMBINED_TRANSACTION:TRANSACTION,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,ADJUSTMENT COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.SDD.NAD:HCL_SECTOR_QNA(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_EXP_QNA(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT Quarterly GDP and components - expenditure approach - volume and price indices PIB trimestriel et composantes - approche par les dépenses, indices de volume et de prix This table presents volume indices and the price indices (or deflators) for Gross Domestic Product (GDP) and its main components according to the expenditure approach. In the expenditure approach, the components of GDP are: final consumption expenditure of households and non-profit institutions serving households (NPISH) plus final consumption expenditure of General Government plus gross fixed capital formation (or investment) plus net trade (exports minus imports). <br><br>When using the filters, please note that final consumption expenditure is shown separately for the Households/NPISH and General Government sectors, not for the whole economy. All other components of GDP are shown for the whole economy, not for the sector breakdowns. The data is presented for OECD countries and some other economies, as well as the OECD total, G20, G7, OECD Europe, United States - Mexico - Canada Agreement (USMCA), European Union and euro area. <br><br>These indicators were presented in the previous dissemination system in the QNA dataset. <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente les indices de volume et les indices de prix (ou déflateurs) du Produit Intérieur Brut (PIB) et de ses composantes selon l'approche par les dépenses. Dans l'approche par les dépenses, les composantes du PIB sont : les dépenses de consommation finale des ménages et des institutions sans but lucratif au service des ménages (ISBLSM) plus les dépenses de consommation finale des administrations publiques plus la formation brute de capital fixe (ou investissement) plus le commerce net (exportations moins importations). <br><br>En utilisant les filtres, veuillez noter que les dépenses de consommation finale sont montrées séparément pour les secteurs des ménages/NPISH et des administrations publiques, et non pour l'économie totale. Les autres composantes du PIB sont montrées pour l'économie totale, et non pour les secteurs détaillés. <br>Les données sont présentées pour les pays de l'OCDE et quelques autres économies, ainsi que pour les zones OCDE total, G20, G7, OCDE Europe, Accord Canada–États-Unis–Mexique (ACEUM), Union européenne et zone euro. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,SECTOR LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,ADJUSTMENT,UNIT_MEASURE,PRICE_BASE LAYOUT_ROW_SECTION TRANSFORMATION=N,ACTIVITY=(_T+_Z),EXPENDITURE=(_T+_Z),INSTR_ASSET,COUNTERPART_SECTOR,OBS_STATUS=A,CONF_STATUS=F,UNIT_MEASURE,ADJUSTMENT=N,TABLE_IDENTIFIER NOT_DISPLAYED FREQ=Q,REF_AREA=AUT,LASTNPERIODS=5 DEFAULT COMBINED_TRANSACTION:TRANSACTION,SECTOR;COMBINED_UNIT_MEASURE:REF_YEAR_PRICE,TRANSFORMATION,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.SDD.NAD:HCL_SECTOR_QNA(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT Quarterly GDP and components - expenditure approach, national currency PIB trimestriel et composantes - approche des dépenses, monnaie nationale This table presents Gross Domestic Product (GDP) and its components according to the expenditure approach. Data is presented for each country in national currency as well as in euros for the European Union and the euro area. <br><br>The table also shows Purchasing Power Parities for GDP.<br><br>In the expenditure approach, the main components of GDP are: final consumption expenditure of households and non-profit institutions serving households (NPISH) plus final consumption expenditure of General Government plus gross fixed capital formation (or investment) plus net trade (exports minus imports).<br><br>In this table, the presentation of GDP and its components is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. In some cases, further breakdowns of the components of GDP by sub-components are also presented. <br><br>We are working on an issue with rows that appear empty but are in fact not applicable. <br><br>These indicators were presented in the previous dissemination system in the QNA dataset. <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le Produit Intérieur Brut (PIB) par tête (ou par personne) selon l'approche par les dépenses. Les données sont présentées en monnaie nationale. Dans l'approche par les dépenses, les composantes du PIB sont : les dépenses de consommation finale des ménages et des institutions sans but lucratif au service des ménages (ISBLSM) plus les dépenses de consommation finale des administrations publiques plus la formation brute de capital fixe (ou investissement) plus le commerce net (exportations moins importations). <br><br>Dans ce tableau, la présentation du PIB et de ses composantes se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "zone de référence'. Dans certaines cas une ventilation des composantes du PIB est également disponible. <br><br>Nous travaillons sur un problème concernant les lignes qui apparaissent vides mais qui ne sont en fait pas applicables. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN PRICE_BASE,COMBINED_TRANSACTION LAYOUT_ROW_SECTION TRANSFORMATION=N,ACTIVITY=(_T+_Z),EXPENDITURE=(_T+_Z),INSTR_ASSET,COUNTERPART_SECTOR,OBS_STATUS=A,CONF_STATUS=F,UNIT_MEASURE,TABLE_IDENTIFIER NOT_DISPLAYED FREQ=Q,LASTNPERIODS=5 DEFAULT COMBINED_TRANSACTION:TRANSACTION,SECTOR;COMBINED_UNIT_MEASURE:REF_YEAR_PRICE,ADJUSTMENT,TRANSFORMATION,UNIT_MULT,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.SDD.NAD:HCL_SECTOR_QNA(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_EXP_QNA(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT Quarterly GDP and components - expenditure approach, US Dollars PIB trimestriel - approche des dépenses, en dollars des Etats-Unis This table presents Gross Domestic Product (GDP) and its main components according to the expenditure approach. Data is presented in US dollars. In the expenditure approach, the components of GDP are: final consumption expenditure of households and non-profit institutions serving households (NPISH) plus final consumption expenditure of General Government plus gross fixed capital formation (or investment) plus net trade (exports minus imports). <br><br>When using the filters, please note that final consumption expenditure is shown separately for the Households/NPISH and General Government sectors, not for the whole economy. All other components of GDP are shown for the whole economy, not for the sector breakdowns.<br><br>The table shows OECD countries and some other economies, as well as the OECD total, G20, G7, OECD Europe, United States - Mexico - Canada Agreement (USMCA), European Union and euro area. <br><br>These indicators were presented in the previous dissemination system in the QNA dataset. <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le Produit Intérieur Brut (PIB) et ses composantes selon l'approche par les dépenses. Les données sont présentées en dollars des Etats-Unis. Dans l'approche par les dépenses, les composantes du PIB sont : les dépenses de consommation finale des ménages et des institutions sans but lucratif au service des ménages (ISBLSM) plus les dépenses de consommation finale des administrations publiques plus la formation brute de capital fixe (ou investissement) plus le commerce net (exportations moins importations). <br><br>En utilisant les filtres, veuillez noter que les dépenses de consommation finale sont montrées séparément pour les secteurs des ménages/NPISH et des administrations publiques, et non pour l'économie totale. Les autres composantes du PIB sont montrées pour l'économie totale, et non pour les secteurs détaillés. <br>Les données sont présentées pour les pays de l'OCDE et quelques autres économies, ainsi que pour les zones OCDE total, G20, G7, OCDE Europe, Accord Canada–États-Unis–Mexique (ACEUM), Union européenne et zone euro. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,ADJUSTMENT LAYOUT_ROW_SECTION TRANSFORMATION=N,ACTIVITY=(_T+_Z),EXPENDITURE=(_T+_Z),INSTR_ASSET,COUNTERPART_SECTOR,SECTOR=S1,OBS_STATUS=A,CONF_STATUS=F,UNIT_MEASURE,ADJUSTMENT=N,TABLE_IDENTIFIER NOT_DISPLAYED FREQ=Q,REF_AREA=AUT,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.SDD.NAD:HCL_SECTOR_QNA(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_INC_QNA(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT Quarterly GDP and components - income approach PIB trimestriel et composantes - approche des revenus This table presents Gross Domestic Product (GDP) and its components according to the income approach. In the income approach, GDP is measured as the sum of compensation of employees (wages and salaries paid to employees and their employers’ social contributions), plus gross operating surplus (business profits) and gross mixed income (profits of the self-employed), plus taxes on production and imports less subsidies.<br><br>Data is presented for each country in national currency as well as in euros for the European Union and the euro area. The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. <br><br>These indicators were presented in the previous dissemination system in the QNA dataset. <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente le produit intérieur brut (PIB) et ses composantes selon l'approche par les revenus. Dans l'approche par les revenus, le PIB est mesuré comme la somme de la rémunération des salariés (salaires versés aux salariés et cotisations sociales des employeurs), plus l'excédent brut d'exploitation (bénéfices des entreprises) et le revenu mixte brut (bénéfices des travailleurs indépendants), plus les impôts sur la production et les importations moins les subventions. <br><br>Les données sont présentées pour chaque pays en monnaie nationale et en euros pour l'Union européenne et la zone euro. La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "zone de référence'. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,SECTOR,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,PRICE_BASE LAYOUT_ROW_SECTION TRANSFORMATION=N,ACTIVITY=(_T+_Z),EXPENDITURE=(_T+_Z),INSTR_ASSET,COUNTERPART_SECTOR,SECTOR=S1,OBS_STATUS=A,CONF_STATUS=F,UNIT_MEASURE,ADJUSTMENT=N,TABLE_IDENTIFIER NOT_DISPLAYED FREQ=Q,REF_AREA=AUT,ADJUSTMENT=N,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE,REF_YEAR_PRICE,ADJUSTMENT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.SDD.NAD:HCL_SECTOR_QNA(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_INC_SAV_QNA(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT Quarterly disposable income, saving and net lending/net borrowing Revenu trimestriel disponible, épargne et capacité/besoin de financement This table presents the different transactions and balances to get from Gross Domestic Product (GDP) to net lending/net borrowing. It includes national disposable income (gross and net) and saving. Data is presented for each country in national currency as well as in euros for the European Union and the euro area. The default view is current prices but it is also possible to select chain linked volumes using the ‘Price base’ filter. <br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter.<br><br> These indicators were presented in the previous dissemination system in the QNA dataset. <br><br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente les différentes transactions et soldes permettant de passer du produit intérieur brut (PIB) à la capacité/besoin de financement. Il inclut le revenu national disponible (brut et net) et l'épargne. Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. L'affichage par défaut est celui des prix courants, mais il est également possible de sélectionner des volumes chaînés à l'aide du filtre 'Base de prix'. <br><br>La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "zone de référence'. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,ADJUSTMENT LAYOUT_ROW_SECTION TRANSFORMATION=N,ACTIVITY=(_T+_Z),EXPENDITURE=(_T+_Z),INSTR_ASSET,COUNTERPART_SECTOR=S1,SECTOR=S1,OBS_STATUS=A,CONF_STATUS=F,CURRENCY=_Z,ADJUSTMENT=N,TABLE_IDENTIFIER NOT_DISPLAYED FREQ=Q,REF_AREA=AUT,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.SDD.NAD:HCL_SECTOR_QNA(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT Quarterly population and employment, national concept Population et emploi trimestriels, concept national This table presents population data and data for total employment and its two components: employees and self-employed people. The presentation is according to the national concept, which is defined by the residence of the person. Employment refers to residents who are employed (or self-employed) in resident and non-resident producer units. <br><br>These indicators were presented in the previous dissemination system in the QNA dataset. <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>See QNA Calendar for information on advance release dates: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br>See QNA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=479ecd3c-28ec-4b04-bf6b-a6903ce31c55">QNA Changes</a> <br>See QNA TIPS for a better use of QNA data: <a href="https://www.oecd.org/sdd/na/tipsforabetteruseoftheoecdquarterlynationalaccountsstatistics.htm">QNA TIPS</a> <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a><br> Ce tableau présente les données de population et les données d'emploi total et de ses deux composantes : les salariés et les indépendants. La présentation se fait selon le concept national, qui est défini par la résidence de la personne. L'emploi se réfère aux résidents qui sont employés (ou sont travailleurs indépendants) dans des unités de production résidentes et non-résidentes. <br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QNA. <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> <br>Voir le calendrier "QNA Calendar" pour des informations sur les prochaines dates de publication (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=de5f2c7a-3fb0-4521-803a-d78030331e32">QNA Calendar</a> <br> Voir le document "QNA Changes" pour des informations sur les changement de méthodologie: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">QNA Changes</a> <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,INSTR_ASSET LAYOUT_ROW TIME_PERIOD,PENSION_FUNDTYPE LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,ACTIVITY,PRICE_BASE,REF_YEAR_PRICE,TRANSFORMATION=N,COUNTERPART_SECTOR=S1+S1M NOT_DISPLAYED REF_AREA=NLD,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,COUNTERPART_SECTOR=S14 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_29_ANA(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_29_ANA(1.0).H,PENSION_FUNDTYPE:OECD.SDD.NAD:HCL_PENSION_TYPE_29_ANA(1.0).H HIER_CONTEXT COMBINED_TRANSACTION:TRANSACTION,INSTR_ASSET;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAPENS@DF_TABLE29/latest RELATED_DATA Social insurance pensions Regimes de pension d'assurance sociale This table provides a full picture of the liabilities of social insurance pension schemes in a country, covering all social insurance pensions whether they are included in the core national accounts or not. It also shows the flows that take place each year, such as contributions received by pension schemes and benefits paid to retirees. It is a supplementary national accounts table based on Table 17.10 of the 2008 System of National Accounts and Table 17.15 of the European System of Accounts 2010. <br><br>The definition of social insurance pensions is social security or employment-related pensions that provide beneficiaries with an entitlement to income in retirement resulting from contributions made during their working lives. To quality as a social insurance pension scheme, participation in the scheme must be mandatory and/or the scheme must be collective and/or an employer must make a contribution.<br><br>Liabilities of social insurance pension schemes are calculated in the national accounts on an accrued-to-date basis, which takes into account benefits due based on contributions made to date. The results are not suitable for fiscal sustainability analysis because they do not take into account future accruals of entitlements.<br><br>The presentation of this table is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. It is also possible to select a single ‘Transaction’ such as closing balance (of liabilities) for comparisons between countries.<br><br> Further information can be obtained from the <a href="https://www.oecd.org/content/dam/oecd/en/data/methods/OECD-Social-Insurance-Pension-Schemes-Guidance-2023.pdf">Guidelines for the OECD Table on social insurance pension schemes</a>.<br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE29 dataset.<br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau propose une vue complète des engagements des régimes de pension d'assurance sociale dans un pays. Il couvre toutes les pensions d'assurance sociale, qu'elles soient incluses ou non dans les comptes nationaux de base. Il montre également les flux qui ont lieu chaque année, tels que les cotisations reçues par les régimes de retraite et les prestations versées aux retraités. Il s'agit d'un tableau de comptes nationaux supplémentaire basé sur le tableau 17.10 du Système de comptabilité nationale 2008 et le tableau 17.15 du Système européen de comptes 2010.<br><br> La définition des pensions d'assurance sociale caractérise les pensions de sécurité sociale ou les pensions liées à l'emploi qui donnent aux bénéficiaires un droit à un revenu à la retraite résultant des cotisations versées au cours de leur vie active. <br> Pour être considéré comme un régime de retraite d'assurance sociale, la participation au régime doit être obligatoire et/ou le régime doit être collectif et/ou un employeur doit verser une contribution.<br><br> Les passifs des régimes de retraite d'assurance sociale dans les comptes nationaux concernent les droits à pension acquis, qui prennent en compte les prestations dues sur la base des cotisations versées à ce jour. Les résultats ne conviennent pas à l'analyse de la viabilité budgétaire car ils ne prennent pas en compte les futures accumulations de droits.<br><br> La présentation de ce tableau se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». Il est également possible,pour les comparaisons entre les pays, de sélectionner une seule « Transaction » telle que le solde de clôture (du passif) .<br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE29. <br> De plus amples informations peuvent être obtenues du documents <a href="https://www.oecd.org/content/dam/oecd/en/data/methods/OECD-Social-Insurance-Pension-Schemes-Guidance-2023.pdf">Lignes directrices pour le tableau de l'OCDE sur les régimes de pension d'assurance sociale</a>.<br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact pour les statistiques de l'OCDE : <a href="mailto : STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true Social insurance pensions International Transfer NonProductionDataflow true TRANSACTION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,TRANSFORMATION=N,EXPENDITURE,CONSOLIDATION=N NOT_DISPLAYED PRICE_BASE=V,REF_AREA=AUT,FREQ=A,LASTNPERIODS=10,SECTOR=S13 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_10_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC10@DF_TABLE10,DSD_NASEC10@DF_TABLE11,DSD_NASEC10@DF_TABLE12_EXP,DSD_NASEC10@DF_TABLE12_REV,DSD_NASEC10@DF_TABLE12_BAL/latest RELATED_DATA Annual government taxes and social contributions receipts Impôts et cotisations sociales annuels This table presents taxes and social contribution receipts for General Government and its sub-sectors: central, local and state (regional) government and social security, as well as for institutions of the European Union. Total tax receipts comprise taxes on production and imports, current taxes on income wealth etc. and capital taxes. Social contribution receipts comprise actual and imputed social contributions. <br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. Data is presented for each country in national currency as well as in euros for the European Union and the euro area.<br><br> These indicators were presented in the previous dissemination system in the SNA_TABLE10 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the Government Finances and Public Sector Debt webpage: <a href= "https://www.oecd.org/en/data/datasets/government-finances-and-public-sector-debt.html"> Government Finances and Public Sector Debt webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente les recettes des impôts et des cotisations sociales pour l'administration publique et ses sous-secteurs : l’administration centrale, les administrations locales, les administrations d’Etats fédérés et les administrations de sécurité sociale, ainsi que pour les institutions de l'Union européenne. Le total des impôts comprend les impôts sur la production et les importations, les impôts courants sur le revenu,le patrimoine, etc., ainsi que les impôts sur le capital. Les recettes des cotisations sociales comprennent les cotisations sociales effectives et imputées.<br><br> La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro.<br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE10. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web des finances publiques et dette du secteur public: <a href="https://www.oecd.org/fr/donnees/datasets/government-finances-and-public-sector-debt.html">Page Web des finances publiques et dette du secteur public</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true EXPENDITURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,TRANSACTION,SECTOR LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,TRANSFORMATION=N,CONSOLIDATION=N NOT_DISPLAYED PRICE_BASE=V,REF_AREA=ITA,TRANSACTION=OTE,SECTOR=S13 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_11_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC10@DF_TABLE10,DSD_NASEC10@DF_TABLE11,DSD_NASEC10@DF_TABLE12_EXP,DSD_NASEC10@DF_TABLE12_REV,DSD_NASEC10@DF_TABLE12_BAL/latest RELATED_DATA Annual government expenditure by function (COFOG) Dépenses annuelles des administrations publiques par fonction (COFOG) This table provides a breakdown of government expenditure according to the Classification of the Functions of Government (COFOG), which shows how much governments spend in areas such as health, education, environmental protection, defence and servicing public debt. <br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. Data is presented for each country in national currency as well as in euros for the European Union and the euro area. Data are also available, for most countries, for the sub-sectors of general government.<br><br>Specific categories of expenditure (such as health and education) can be selected using the ‘Expenditure’ filter, while details of the type of expenditure such as compensation of employees (payment of wages and salaries and employers’ social contributions) can be selected using the ‘Transaction’ filter. For government final consumption expenditure a breakdown is also provided, in the ‘Transaction’ filter, between individual and collective consumption expenditure.<br><br>Data is for General Government. For most countries, results are also available for the General Government sub-sectors: central, local and state (regional) government and social security. <br><br>These sub-sectors can be selected using the ‘Institutional sector’ filter. These indicators were presented in the previous dissemination system in the SNA_TABLE11 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the Government Finances and Public Sector Debt webpage: <a href="https://www.oecd.org/en/data/datasets/government-finances-and-public-sector-debt.html"> Government Finances and Public Sector Debt webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente une répartition des dépenses publiques selon la Classification des fonctions du gouvernement (COFOG). Il fait apparaître combien les gouvernements dépensent dans des domaines tels que la santé, l'éducation, la protection de l'environnement, la défense et le service de la dette publique. <br><br> La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». Les données sont présentées pour chaque pays en monnaie nationale ainsi qu'en euros pour l'Union européenne et la zone euro. Des données sont également disponibles, pour la plupart des pays, pour les sous-secteurs des administrations publiques.<br><br> Des catégories spécifiques de dépenses (telles que la santé et l'éducation) peuvent être sélectionnées à l'aide du filtre « Dépenses », tandis que les détails sur le type de dépense telle que la rémunération des salariés (paiement des salaires et cotisations sociales des employeurs) peuvent être sélectionnées à l'aide du filtre « Transaction ». Pour les dépenses de consommation finale des administrations publiques, une ventilation est également fournie, dans le filtre « Transactions », entre dépenses de consommation individuelles et collectives.<br><br> Les données concernent les administrations publiques. Pour la plupart des pays, les résultats sont également disponibles pour les sous-secteurs des administrations publiques : l’administration central, les administrations locales, les administrations d’Etats fédérés et les administrations de sécurité sociale. Ces sous-secteurs peuvent être sélectionnés à l'aide du filtre « Secteur institutionnel ». <br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE11. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web des finances publiques et dette du secteur public: <a href="https://www.oecd.org/fr/donnees/datasets/government-finances-and-public-sector-debt.html">Page Web des finances publiques et dette du secteur public</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION,COUNTERPART_SECTOR LAYOUT_ROW TIME_PERIOD,ACCOUNTING_ENTRY LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION CONSOLIDATION,COUNTERPART_AREA LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,TRANSFORMATION=N,EXPENDITURE,CONSOLIDATION=N,TRANSACTION=B1GQ+D21X31+D2X3,COUNTERPART_SECTOR=_Z NOT_DISPLAYED PRICE_BASE=V,REF_AREA=ITA DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_12_ANA(1.0).H HIER_CONTEXT COMBINED_TRANSACTION:TRANSACTION,COUNTERPART_SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC10@DF_TABLE12_EXP,DSD_NASEC10@DF_TABLE12_REV,DSD_NASEC10@DF_TABLE12_BAL/latest RELATED_DATA Annual government non-financial accounts and key indicators (for 'Developer API') Comptes annuels non financiers des administrations publiques et indicateurs principaux ('API pour développeur') This dataset provides the whole set of OECD Annual government non-financial accounts and key indicators data and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. <br><br> The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. <br><br> To get started check the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a> <br>.For any question <a href="https://www.oecd.org/contact/">contact us</a> Cet ensemble de données fournit la totalité des données des comptes annuels non financiers des administrations publiques et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus.<br><br> L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche.<br><br> Veuillez consulter la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation API (en anglais seulement)</a> <br>. Pour toute question <a href=" https://www.oecd.org/contact/">contactez -nous</a> <br>. NonProductionDataflow true COMBINED_TRANSACTION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,TRANSFORMATION=N,EXPENDITURE,CONSOLIDATION=N,TRANSACTION=B1GQ+D21X31+D2X3,COUNTERPART_SECTOR=_Z NOT_DISPLAYED PRICE_BASE=V,REF_AREA=ITA,SECTOR=S13 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_12_BAL_ANA(1.0).H HIER_CONTEXT COMBINED_TRANSACTION:TRANSACTION,COUNTERPART_SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC10@DF_TABLE12,DSD_NASEC10@DF_TABLE10,DSD_NASEC10@DF_TABLE11,DSD_NASEC10@DF_TABLE12_EXP,DSD_NASEC10@DF_TABLE12_REV,DSD_NASEC10@DF_TABLE12_BAL,DSD_NASEC10@DF_TABLE14_EXP,DSD_NASEC10@DF_TABLE14_REV/latest RELATED_DATA Annual government non-financial accounts and key indicators (Balancing items) Comptes annuels non financiers des administrations publiques et indicateurs principaux (soldes comptables) This table presents the full sequence of non-financial accounts for the General Government sector and its sub-sectors from the production account to the capital account. It shows the balancing items and is designed to be used in conjunction with the tables entitled ‘Annual government non-financial accounts and key indicators (Revenue)’ and ‘Annual government non-financial accounts and key indicators (Expenditure)’. <br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter in order to view the full sequence of non-financial accounts. Alternatively, specific lines within the sequence can be selected using the ‘Transaction’ filter to compare this item for combinations of sectors, countries and time periods. It is also possible to select the government sub-sectors – central, local and state (regional) government and social security funds – using the ‘Institutional sector’ filter.These indicators were presented in the previous dissemination system in the SNA_TABLE12 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the Government Finances and Public Sector Debt webpage: <a href= "https://www.oecd.org/en/data/datasets/government-finances-and-public-sector-debt.html"> Government Finances and Public Sector Debt webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente la séquence complète des revenus des comptes non financiers pour le secteur des administrations publiques et ses sous-secteurs, du compte de production au compte de capital. Il montre les soldes comptables et est conçu pour être utilisé conjointement avec le tableau intitulé ‘Comptes annuels non financiers des administrations publiques et indicateurs principaux (Revenus)’, et le tableau intitulé ‘Comptes annuels non financiers des administrations publiques et indicateurs principaux (Dépenses)’.<br><br> La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence » afin de visualiser la séquence complète des comptes non financiers. Alternativement, des lignes spécifiques dans la séquence peuvent être sélectionnées à l’aide du filtre « Transaction » pour comparer cet élément pour des combinaisons de secteurs, de pays et de périodes. Il est également possible à l’aide du filtre « Secteur institutionnel » de sélectionner les sous-secteurs des administrations publiques : l’administration centrale, les administrations d’Etats fédérés, les administrations locales, et les administrations de sécurité sociale .<br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE12. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br>Explorez également la page Web des finances publiques et dette du secteur public: <a href="https://www.oecd.org/fr/donnees/datasets/government-finances-and-public-sector-debt.html">Page Web des finances publiques et dette du secteur public</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SECTOR LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,CURRENCY,TRANSFORMATION=N,EXPENDITURE NOT_DISPLAYED UNIT_MEASURE=PS,SECTOR=S13,FREQ=A,LASTNPERIODS=10 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0001 SEARCH_WEIGHT V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE3_EMPDC,DSD_NAMAIN10@DF_TABLE3_POP_EMPNC,DSD_NAMAIN10@DF_TABLE7,DSD_NAMAIN10@DF_TABLE3,DSD_NAMAIN10@DF_TABLE3_EMP_SECTOR/latest RELATED_DATA Annual employment by subsector of general government, domestic concept Emploi annuel par sous-secteur de l'administration publique, concept intérieur. This table presents employment by subsector of General Government: Central Government, State Government, Local Government, Social Security funds. The unit used is persons. Employment per person counts each agent as a unit, whether working full-time or part-time. The table shows total employment according to the domestic concept. The domestic concept refers to the measurement of economic activities based on a geographical approach rather than a nationality-based approach. Employees are residents and non-residents employed by the General Government. <br><br> <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the Government Finances and Public Sector Debt webpage: <a href= "https://www.oecd.org/en/data/datasets/government-finances-and-public-sector-debt.html"> Government Finances and Public Sector Debt webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente l'emploi par sous-secteur des administrations publiques : Administrations centrales, Administrations d'États fédérés, Administrations locales, Administrations de sécurité sociale. L'unité utilisée est la personne. L'emploi par personne compte chaque agent comme une unité, qu'il travaille à temps plein ou à temps partiel. Le tableau montre l'emploi total selon le concept intérieur. Le concept intérieur se réfère à la mesure des activités économiques basée sur une approche géographique plutôt que sur une approche basée sur la nationalité. Les employés sont les résidents et les non-résidents employés par les administrations publiques.<br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web des finances publiques et dette du secteur public: <a href="https://www.oecd.org/fr/donnees/datasets/government-finances-and-public-sector-debt.html">Page Web des finances publiques et dette du secteur public</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true COMBINED_TRANSACTION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,TRANSFORMATION=N,EXPENDITURE,CONSOLIDATION=N,TRANSACTION=B1GQ+D21X31+D2X3,COUNTERPART_SECTOR=_Z NOT_DISPLAYED PRICE_BASE=V,REF_AREA=ITA,SECTOR=S13 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_12_EXP_ANA(1.0).H HIER_CONTEXT COMBINED_TRANSACTION:TRANSACTION,COUNTERPART_SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC10@DF_TABLE12,DSD_NASEC10@DF_TABLE10,DSD_NASEC10@DF_TABLE11,DSD_NASEC10@DF_TABLE12_EXP,DSD_NASEC10@DF_TABLE12_REV,DSD_NASEC10@DF_TABLE12_BAL,DSD_NASEC10@DF_TABLE14_EXP,DSD_NASEC10@DF_TABLE14_REV/latest RELATED_DATA Annual government non-financial accounts and key indicators (Expenditure) Comptes annuels non financiers des administrations publiques et indicateurs principaux (dépenses) This table presents the full sequence of non-financial accounts for the General Government sector and its sub-sectors from the production account to the capital account. It shows the Expenditure (or Uses) side of the accounts, not including the balancing items, and is designed to be used in conjunction with the tables entitled ‘Annual government non-financial accounts and key indicators (Revenues)’ and ‘Annual government non-financial accounts and key indicators (Balancing items)’. <br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter in order to view the full sequence of non-financial accounts. Alternatively, specific lines within the sequence can be selected using the ‘Transaction’ filter to compare this item for combinations of sectors, countries and time periods. It is also possible to select the government sub-sectors – central, local and state (regional) government and social security funds – using the ‘Institutional sector’ filter.These indicators were presented in the previous dissemination system in the SNA_TABLE12 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the Government Finances and Public Sector Debt webpage: <a href= "https://www.oecd.org/en/data/datasets/government-finances-and-public-sector-debt.html"> Government Finances and Public Sector Debt webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente la séquence complète des dépenses des comptes non financiers pour le secteur des administrations publiques et ses sous-secteurs, du compte de production au compte de capital. Il présente le côté des dépenses (ou emplois) des comptes, à l'exclusion des soldes, et est conçu pour être utilisé conjointement avec le tableau intitulé ‘Comptes annuels non financiers des administrations publiques et indicateurs principaux (Revenus)’ et le tableau intitulé ‘Comptes annuels non financiers des administrations publiques et indicateurs principaux (Soldes comptables)’.<br><br> La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre ‘Zone de référence’ afin de visualiser la séquence complète des comptes non financiers. Alternativement, des lignes spécifiques dans la séquence peuvent être sélectionnées à l’aide du filtre 'Transaction' pour comparer cet élément pour des combinaisons de secteurs, de pays et de périodes. Il est également possible à l’aide du filtre ‘Secteur institutionnel’ de sélectionner les sous-secteurs des administrations publiques : l’administration centrale, les administrations d’Etats fédérés, les administrations locales, et les administrations de sécurité sociale .<br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE12. <br> <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web des finances publiques et dette du secteur public: <a href="https://www.oecd.org/fr/donnees/datasets/government-finances-and-public-sector-debt.html">Page Web des finances publiques et dette du secteur public</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true COMBINED_TRANSACTION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,TRANSFORMATION=N,EXPENDITURE,CONSOLIDATION=N,TRANSACTION=B1GQ+D21X31+D2X3,COUNTERPART_SECTOR=_Z NOT_DISPLAYED PRICE_BASE=V,REF_AREA=ITA,SECTOR=S13 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_12_REV_ANA(1.0).H HIER_CONTEXT COMBINED_TRANSACTION:TRANSACTION,COUNTERPART_SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC10@DF_TABLE12,DSD_NASEC10@DF_TABLE10,DSD_NASEC10@DF_TABLE11,DSD_NASEC10@DF_TABLE12_EXP,DSD_NASEC10@DF_TABLE12_REV,DSD_NASEC10@DF_TABLE12_BAL,DSD_NASEC10@DF_TABLE14_EXP,DSD_NASEC10@DF_TABLE14_REV/latest RELATED_DATA Annual government non-financial accounts and key indicators (Revenue) Comptes annuels non financiers des administrations publiques et indicateurs principaux (recettes) This table presents the full sequence of non-financial accounts for the General Government sector and its sub-sectors from the production account to the capital account. It shows the Revenue (or Resources) side of the accounts, not including the balancing items, and is designed to be used in conjunction with the tables entitled ‘Annual government non-financial accounts and key indicators (Expenditures)’ and ‘Annual government non-financial accounts and key indicators (Balancing items)’. <br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter in order to view the full sequence of non-financial accounts. Alternatively, specific lines within the sequence can be selected using the ‘Transaction’ filter to compare this item for combinations of sectors, countries and time periods. It is also possible to select the government sub-sectors – central, local and state (regional) government and social security funds – using the ‘Institutional sector’ filter.These indicators were presented in the previous dissemination system in the SNA_TABLE12 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the Government Finances and Public Sector Debt webpage: <a href= "https://www.oecd.org/en/data/datasets/government-finances-and-public-sector-debt.html"> Government Finances and Public Sector Debt webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente la séquence complète des comptes non financiers du secteur des administrations publiques et de ses sous-secteurs, du compte de production au compte de capital. Il montre le côté des revenus (ou Ressources) des comptes, à l'exclusion des soldes comptables, et est conçu pour être utilisé conjointement avec les tableaux intitulés ‘Comptes annuels non financiers des administrations publiques et indicateurs principaux (dépenses)’ et ‘Comptes annuels non financiers des administrations publiques et indicateurs principaux (Soldes comptables)’.<br><br> La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre ‘Zone de référence’ afin de visualiser la séquence complète des comptes non financiers. Alternativement, des lignes spécifiques dans la séquence peuvent être sélectionnées à l’aide du filtre ‘Transaction’ pour comparer cet élément pour des combinaisons de secteurs, de pays et de périodes. Il est également possible à l’aide du filtre ‘Secteur institutionnel’ de sélectionner les sous-secteurs des administrations publiques : l’administration centrale, les administrations d’Etats fédérés, les administrations locales, et les administrations de sécurité sociale .<br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE12. <br> <br> <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web des finances publiques et dette du secteur public: <a href="https://www.oecd.org/fr/donnees/datasets/government-finances-and-public-sector-debt.html">Page Web des finances publiques et dette du secteur public</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION LAYOUT_ROW TIME_PERIOD,ACCOUNTING_ENTRY LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION CONSOLIDATION,COUNTERPART_AREA LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,TRANSFORMATION=N,EXPENDITURE,CONSOLIDATION=N,COUNTERPART_AREA=W,UNIT_MEASURE NOT_DISPLAYED PRICE_BASE=V,REF_AREA=FRA DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_13_ANA(1.0).H,SECTOR:OECD.SDD.NAD:HCL_SECTOR_13_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC10@DF_TABLE13_EXP,DSD_NASEC10@DF_TABLE13_REV,DSD_NASEC10@DF_TABLE13_BAL/latest RELATED_DATA Annual simplified non-financial accounts by institutional sector (for 'Developer API') Comptes annuels non financiers simplifiés par secteur institutionnel ('API pour développeur') This dataset provides the whole set of OECD annual simplified non-financial accounts by institutional sector data and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. <br><br> The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. <br><br> To get started check the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a> <br>.For any question <a href="https://www.oecd.org/contact/">contact us</a> Cet ensemble de données fournit la totalité des données de comptes annuels non financiers simplifiés par secteur institutionnel et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus.<br><br> L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche.<br><br> Veuillez consulter la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation API (en anglais seulement)</a> <br>. Pour toute question <a href=" https://www.oecd.org/contact/">contactez -nous</a> <br>. NonProductionDataflow true TRANSACTION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,TRANSFORMATION=N,EXPENDITURE,CONSOLIDATION=N,COUNTERPART_AREA=W NOT_DISPLAYED PRICE_BASE=V,REF_AREA=FRA,SECTOR=S1 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_13_ANA(1.0).H,SECTOR:OECD.SDD.NAD:HCL_SECTOR_13_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC10@DF_TABLE13,DSD_NASEC10@DF_TABLE14_EXP,DSD_NASEC10@DF_TABLE14_REV,DSD_NASEC10@DF_TABLE13_EXP,DSD_NASEC10@DF_TABLE13_REV,DSD_NASEC10@DF_TABLE13_BAL/latest RELATED_DATA Annual simplified non-financial accounts by institutional sector (Balancing items) Comptes annuels non financiers simplifiés par secteur institutionnel (soldes comptables) This table presents the balancing items for a simplified sequence of non-financial accounts from the generation of income account to the capital account. This table is designed to be used in conjunction with the tables entitled ‘Annual simplified non-financial accounts by institutional sector (Expenditure)’ and ‘Annual simplified non-financial accounts by institutional sector (Revenue)’. <br><br>The data is presented for the economy of each country (or area) as a whole and also for Corporations (both non-financial and financial), General Government, and Households and non-profit institutions serving households (NPISHs). <br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. Alternatively, specific lines within the sequence can be selected using the ‘Transaction’ filter to compare an item for combinations of sectors, countries and time periods.<br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE13 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente les soldes comptables pour une séquence simplifiée de comptes non financiers, du compte d'exploitation au compte de capital. Ce tableau est conçu pour être utilisé conjointement avec les tableaux intitulés ‘Comptes annuels non financiers simplifiés par secteur institutionnel (Dépenses)’ et ‘Comptes annuels non financiers simplifiés par secteur institutionnel (Revenus)’.<br><br> Les données sont présentées pour l'économie de chaque pays (ou zone) dans son ensemble ainsi que pour les sociétés (à la fois non financières et financières), les administrations publiques et les ménages et institutions sans but lucratif au service des ménages (ISBLSM). La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». Alternativement, des lignes spécifiques dans la séquence peuvent être sélectionnées à l’aide du filtre « Transaction » pour comparer un élément pour des combinaisons de secteurs, de pays et de périodes. <br ><br > Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE13. <br> <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,TRANSFORMATION=N,EXPENDITURE,CONSOLIDATION=N,COUNTERPART_AREA=W NOT_DISPLAYED PRICE_BASE=V,REF_AREA=FRA,SECTOR=S1 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_13_ANA_EXP(1.0).H,SECTOR:OECD.SDD.NAD:HCL_SECTOR_13_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC10@DF_TABLE13,DSD_NASEC10@DF_TABLE14_EXP,DSD_NASEC10@DF_TABLE14_REV,DSD_NASEC10@DF_TABLE13_EXP,DSD_NASEC10@DF_TABLE13_REV,DSD_NASEC10@DF_TABLE13_BAL/latest RELATED_DATA Annual simplified non-financial accounts by institutional sector (Expenditure) Comptes annuels non financiers simplifiés par secteur institutionnel (dépenses) This table presents the Expenditure (or Uses) lines, not including the balancing items, for a simplified sequence of non-financial accounts from the generation of income account to the capital account. This table is designed to be used in conjunction with the tables entitled ‘Annual simplified non-financial accounts by institutional sector (Revenue)’ and ‘Annual simplified non-financial accounts by institutional sector (Balancing items)’. <br><br>The data is presented for the economy of each country (or area) as a whole and also for Corporations (both non-financial and financial), General Government, and Households and non-profit institutions serving households (NPISHs).<br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. Alternatively, specific lines within the sequence can be selected using the ‘Transaction’ filter to compare an item for combinations of sectors, countries and time periods. <br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE13 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a>. <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente les lignes de dépenses (ou emplois), hors soldes, pour une séquence simplifiée des comptes non financiers depuis le compte d'exploitation jusqu'au compte de capital. Ce tableau est conçu pour être utilisé conjointement avec le tableau intitulé ‘Comptes annuels non financiers simplifiés par secteur institutionnel (Revenus)’ et le tableau intitulé ‘Comptes annuels non financiers simplifiés par secteur institutionnel (Soldes comptables)’.<br><br> Les données sont présentées pour l'économie de chaque pays (ou zone) dans son ensemble ainsi que pour les sociétés (à la fois non financières et financières), les administrations publiques et les ménages et institutions sans but lucratif au service des ménages (ISBLSM). <br><br> La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». Alternativement, des lignes spécifiques dans la séquence peuvent être sélectionnées à l’aide du filtre « Transaction » pour comparer un élément pour des combinaisons de secteurs, de pays et de périodes. <br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE13. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,TRANSFORMATION=N,EXPENDITURE,CONSOLIDATION=N,COUNTERPART_AREA=W NOT_DISPLAYED PRICE_BASE=V,REF_AREA=FRA,SECTOR=S1 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_13_ANA_REV(1.0).H,SECTOR:OECD.SDD.NAD:HCL_SECTOR_13_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC10@DF_TABLE13,DSD_NASEC10@DF_TABLE14_EXP,DSD_NASEC10@DF_TABLE14_REV,DSD_NASEC10@DF_TABLE13_EXP,DSD_NASEC10@DF_TABLE13_REV,DSD_NASEC10@DF_TABLE13_BAL/latest RELATED_DATA Annual simplified non-financial accounts by institutional sector (Revenue) Comptes annuels non financiers simplifiés par secteur institutionnel (recettes) This table presents the Revenue (or Resources) lines, not including the balancing items, for a simplified sequence of non-financial accounts from the generation of income account to the capital account. This table is designed to be used in conjunction with the tables entitled ‘Annual simplified non-financial accounts by institutional sector (Expenditure) and ‘Annual simplified non-financial accounts by institutional sector (Balancing items)’.<br><br>The data is presented for the economy of each country (or area) as a whole and also for Corporations (both non-financial and financial), General Government, and Households and non-profit institutions serving households (NPISHs).<br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. Alternatively, specific lines within the sequence can be selected using the ‘Transaction’ filter to compare an item for combinations of sectors, countries and time periods. <br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE13 dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente les lignes de revenus (ou ressources), hors soldes comptables, pour une séquence simplifiée des comptes non financiers depuis le compte d'exploitation jusqu'au compte de capital. Ce tableau est conçu pour être utilisé conjointement avec le tableau intitulé ‘Comptes annuels non financiers simplifiés par secteur institutionnel (Dépenses)’ et le tableau intitulé ‘Comptes annuels non financiers simplifiés par secteur institutionnel (Soldes comptables)’.<br><br> Les données sont présentées pour l'économie de chaque pays (ou zone) dans son ensemble ainsi que pour les sociétés (à la fois non financières et financières), les administrations publiques et les ménages et institutions sans but lucratif au service des ménages (ISBLSM). <br ><br > La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre « Zone de référence ». Alternativement, des lignes spécifiques dans la séquence peuvent être sélectionnées à l’aide du filtre « Transaction » pour comparer un élément pour des combinaisons de secteurs, de pays et de périodes. <br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE13. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true TRANSACTION LAYOUT_ROW TIME_PERIOD,ACCOUNTING_ENTRY LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION CONSOLIDATION,COUNTERPART_AREA LAYOUT_NOTE FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,TRANSFORMATION=N,EXPENDITURE,CONSOLIDATION=N,COUNTERPART_AREA=W,UNIT_MEASURE NOT_DISPLAYED PRICE_BASE=V,REF_AREA=NLD,INSTR_ASSET=_Z,SECTOR=S1 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_14_ANA(1.0).H HIER_CONTEXT COMBINED_TRANSACTION:TRANSACTION,ACCOUNTING_ENTRY;COMBINED_UNIT_MEASURE:PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE3_EMP_SECTOR,DSD_NASEC10@DF_TABLE14_GFCF,DSD_NASEC10@DF_TABLE14_EXP,DSD_NASEC10@DF_TABLE14_REV/latest RELATED_DATA Annual non-financial accounts by institutional sector (for 'Developer API') Comptes annuels non financiers par secteur institutionnel ('API pour développeur') This dataset provides the whole set of OECD annual non-financial accounts by institutional sector data and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. <br><br> The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. <br><br> To get started check the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a> <br>.For any question <a href="https://www.oecd.org/contact/">contact us</a> Cet ensemble de données fournit la totalité des données de comptes annuels non financiers par secteur institutionnel et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus.<br><br> L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche.<br><br> Veuillez consulter la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation API (en anglais seulement)</a> <br>. Pour toute question <a href=" https://www.oecd.org/contact/">contactez -nous</a> <br>. NonProductionDataflow true COMBINED_TRANSACTION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,TRANSFORMATION=N,EXPENDITURE,CONSOLIDATION=N,COUNTERPART_AREA=W,UNIT_MEASURE NOT_DISPLAYED PRICE_BASE=V,REF_AREA=NLD,INSTR_ASSET=_Z,SECTOR=S1 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_14_EXP_ANA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_14_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC10@DF_TABLE13,DSD_NASEC10@DF_TABLE14_EXP,DSD_NASEC10@DF_TABLE14_REV,DSD_NASEC10@DF_TABLE13_EXP,DSD_NASEC10@DF_TABLE13_REV,DSD_NASEC10@DF_TABLE13_BAL/latest RELATED_DATA Annual non-financial accounts by institutional sector (Expenditure) Comptes annuels non financiers par secteur institutionnel (dépenses) This table presents the full sequence of non-financial accounts in the national accounts from the production account to the capital account. <br><br> The sequence of non-financial accounts is presented for the economy of each country (or area) as a whole and also for its sectors: Non-financial Corporations, Financial Corporations, General Government, Households and Non-profit institutions serving households (NPISHs) and for the Rest of the world account. For the General Government sector property income, other current transfers and capital transfers are consolidated.<br><br>This table presents the Expenditure (or Uses) side of the accounts, including the balancing items. It is designed to be used in conjunction with the table entitled ‘Annual non-financial accounts by institutional sector (Revenue)’.<br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter in order to view the full sequence of non-financial accounts. Alternatively, specific lines within the sequence can be selected using the ‘Transaction’ filter to compare this item for combinations of sectors, countries and time periods.<br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE14a dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente la séquence complète des comptes non financiers, dans les comptes nationaux, du compte de production au compte de capital.<br><br>La séquence des comptes non financiers est présentée pour l'économie de chaque pays (ou zone) dans son ensemble ainsi que pour ses secteurs : sociétés non financières, sociétés financières, administrations publiques, ménages et organisations à but non lucratif. institutions au service des ménages (ISBLSM) et pour le compte du Reste du monde. Les revenus de la propriété du secteur des administrations publiques, les autres transferts courants et les transferts en capital sont consolidés.<br><br> Ce tableau présente le côté des dépenses (ou emplois) des comptes, y compris les soldes. Il est conçu pour être utilisé conjointement avec le tableau intitulé ‘Comptes annuels non financiers par secteur institutionnel (Revenu)‘. <br><br> La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre ‘Zone de référence’ afin de visualiser la séquence complète des comptes non financiers. Alternativement, des lignes spécifiques dans la séquence peuvent être sélectionnées à l'aide du filtre « Transaction » pour comparer cet élément pour des combinaisons de secteurs, de pays et de périodes.<br><br Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE14a. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,CURRENCY,TRANSFORMATION=N,EXPENDITURE,TRANSACTION=B1GQ+P5 NOT_DISPLAYED PRICE_BASE=V,REF_AREA=MEX,TRANSACTION=P51G DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_14_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC10@DF_TABLE14_GFCF,DSD_NASEC10@DF_TABLE14_EXP,DSD_NASEC10@DF_TABLE14_REV,DSD_NASEC10@DF_TABLE13_EXP,DSD_NASEC10@DF_TABLE13_REV,DSD_NASEC10@DF_TABLE13_BAL/latest RELATED_DATA Annual investment by asset and institutional sector Investissement annuel par type d'actif et par secteur This table shows annual investment (Gross Fixed Capital Formation or GFCF) in dwellings, other buildings and other structures. The investment in these fixed assets is presented for each institutional sector: Non-financial Corporations, Financial corporations, General Government, Households and Non-profit institutions serving households (NPISHs). <br><br>The default presentation is on a country-by-country basis. Users can change the country selected using the ‘Reference area’ filter; or compare a fixed asset (using the ‘Financial instruments and non-financial assets’ filter) for combinations of sectors, countries and time periods.<br><br> These indicators were presented in the previous dissemination system in the SNA_TABLE14a dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau montre l'investissement annuel (Formation Brute de Capital Fixe ou FBCF) dans les logements, autres bâtiments et autres structures. L'investissement dans ces immobilisations est présenté pour chaque secteur institutionnel : Sociétés non financières, Sociétés financières, Administrations publiques, Ménages et Institutions sans but lucratif au service des ménages (ISBLSM). <br><br> La présentation par défaut est pays par pays. Les utilisateurs peuvent modifier le pays sélectionné à l’aide du filtre « Zone de référence » ; ou comparer une immobilisation (à l'aide du filtre « Instruments financiers et actifs non financiers ») pour des combinaisons de secteurs, de pays et de périodes.<br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE14a. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true COMBINED_TRANSACTION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,TRANSFORMATION=N,EXPENDITURE,CONSOLIDATION=N,COUNTERPART_AREA=W,UNIT_MEASURE NOT_DISPLAYED PRICE_BASE=V,REF_AREA=NLD,INSTR_ASSET=_Z,SECTOR=S1 DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_14_REV_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC10@DF_TABLE13,DSD_NASEC10@DF_TABLE14_EXP,DSD_NASEC10@DF_TABLE14_REV,DSD_NASEC10@DF_TABLE13_EXP,DSD_NASEC10@DF_TABLE13_REV,DSD_NASEC10@DF_TABLE13_BAL/latest RELATED_DATA Annual non-financial accounts by institutional sector (Revenue) Comptes annuels non financiers par secteur institutionnel (recettes) This table presents the full sequence of non-financial accounts in the national accounts from the production account to the capital account. <br><br> The sequence of non-financial accounts is presented for the economy of each country (or area) as a whole and also for its sectors: Non-financial Corporations, Financial Corporations, General Government, Households and Non-profit institutions serving households (NPISHs) and for the Rest of the world account. For the General Government sector property income, other current transfers and capital transfers are consolidated.<br><br>This table presents the Revenue (or Resources) side of the accounts, including the balancing items. It is designed to be used in conjunction with the table entitled 'Annual non-financial accounts by institutional sector (Expenditure)’.<br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter in order to view the full sequence of non-financial accounts. Alternatively, specific lines within the sequence can be selected using the ‘Transaction’ filter to compare this item for combinations of sectors, countries and time periods.<br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE14a dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente la séquence complète des comptes non financiers, dans les comptes nationaux, du compte de production au compte de capital.<br><br> La séquence des comptes non financiers est présentée pour l'économie de chaque pays (ou zone) dans son ensemble ainsi que pour ses secteurs : sociétés non financières, sociétés financières, administrations publiques, ménages et organisations à but non lucratif. institutions au service des ménages (ISBLSM) et pour le compte du Reste du monde. Les revenus de la propriété du secteur des administrations publiques, les autres transferts courants et les transferts en capital sont consolidés.<br><br> Ce tableau présente le côté des revenus (ou Ressources) des comptes, y compris les soldes. Il est conçu pour être utilisé conjointement avec le tableau intitulé ‘Comptes annuels non financiers par secteur institutionnel (Dépenses)’. <br><br> La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre ‘Zone de référence’ afin de visualiser la séquence complète des comptes non financiers. Alternativement, des lignes spécifiques dans la séquence peuvent être sélectionnées à l'aide du filtre « Transaction » pour comparer cet élément pour des combinaisons de secteurs, de pays et de périodes.<br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE14a. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,PRICE_BASE,REF_YEAR_PRICE,TRANSFORMATION=N,EXPENDITURE NOT_DISPLAYED PRICE_BASE=V,REF_AREA=AUS DEFAULT PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION UNIT_MEASURE_CONCEPTS INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_9B_ANA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE,UNIT_MULT,CURRENCY,TRANSFORMATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée V2/structure/dataflow/OECD.SDD.NAD/DSD_NAMAIN10@DF_TABLE9A/latest RELATED_DATA Annual balance sheets for non-financial assets Comptes de patrimoine des actifs non financiers This table presents the balance sheets for non-financial assets for both produced assets (fixed assets such as dwellings as well as inventories and valuables) and non-produced assets (tangibles such as mineral and energy reserves and intangibles). Assets are shown on a net basis, the net value of an asset is calculated as its gross value decreased by the value of consumption of fixed capital (depreciation). <br><br> These are presented for the whole economy and by institutional sector: Non-financial Corporations, Financial Corporations, General Government, Households and Non-profit institutions serving households (NPISH).<br><br>These indicators were presented in the previous dissemination system in the SNA_TABLE9B dataset. <br> See ANA Changes for information on changes in methodology: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact:<a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente les bilans des actifs non financiers pour les actifs produits (les immobilisations telles que les logements ainsi que les stocks et les objets de valeur) et les actifs non produits (les actifs corporels tels que les réserves minérales et énergétiques et les actifs incorporels).<br><br> Les actifs sont présentés en valeur nette, la valeur nette d'un actif est sa valeur brute diminuée de la valeur de la consommation de capital fixe (amortissement). <br><br> Les actifs sont présentés pour l'ensemble de l'économie et par secteur institutionnel : sociétés non financières, sociétés financières, administrations publiques, ménages et institutions sans but lucratif au service des ménages (ISBLSM).<br><br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l’ensemble de données SNA_TABLE9B. <br> Pour plus d'informations sur les changements de méthodologie, consultez le document "ANA Changes" (en anglais uniquement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e81c82e7-ad8b-4ab9-8b4c-8c3e1e104c9b">ANA Changes</a> <br> Explorez également la page Web du PIB et comptes non financiers: <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">Page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true Quarterly Public Sector Debt, consolidated, nominal value IDC NonProductionDataflow true Annual taxes and social contributions receipts IDC NonProductionDataflow true Annual government expenditure by function (COFOG) IDC NonProductionDataflow true Annual government deficit/surplus, revenue, expenditure and main aggregates IDC NonProductionDataflow true Annual non-financial accounts by institutional sectors IDC NonProductionDataflow true Annual Financial Accounts (flows), consolidated (Table T0610) IDC NonProductionDataflow true Quarterly Financial Accounts (flows), consolidated (Table T0610) IDC NonProductionDataflow true Annual Financial Accounts (flows), non-consolidated (Table T0620) IDC NonProductionDataflow true Quarterly Financial Accounts (flows), non-consolidated (Table T0620) IDC NonProductionDataflow true Annual Financial Balance Sheets (stocks), consolidated (Table T0710) IDC NonProductionDataflow true Quarterly Financial Balance Sheets (stocks), consolidated (Table T0710) IDC NonProductionDataflow true Annual Financial Balance Sheets (stocks), non-consolidated (Table T0720) IDC NonProductionDataflow true Quarterly Financial Balance Sheets (stocks), non-consolidated (Table T0720) IDC NonProductionDataflow true Annual balance sheets for non-financial assets IDC NonProductionDataflow true FREQ=Q DEFAULT 14000 MAX_TABLE_DATA V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC1@DF_QSA_EMPLOYMENT,DSD_NASEC1@DF_QSA_TRANSACTIONS_C,DSD_NASEC1@DF_QSA_TRANSACTIONS_D,DSD_HHDASH@DF_HHDASH_CTRY,DSD_HHDASH@DF_HHDASH_INDIC/latest RELATED_DATA Quarterly Sector Accounts (for 'Developer API') Comptes trimestriels par secteur ('API pour développeur') This dataset provides the whole set of OECD Quarterly Sector Accounts data and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. <br><br>The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. <br><br>To get started check the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a>. For any question <a href="https://www.oecd.org/contact/">contact us</a><br><br> <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> Cet ensemble de données fournit la totalité des données des comptes nationaux trimestriels de l'OCDE et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus. <br><br>L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche. <br><br>Veuillez consulter la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation API (en anglais seulement)</a>. Pour toute question <a href="https://www.oecd.org/fr/contact/">contactez-nous</a>.<br><br> <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> NonProductionDataflow true SECTOR,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,UNIT_MEASURE LAYOUT_ROW_SECTION CONSOLIDATION,COUNTERPART_AREA LAYOUT_NOTE TABLE_IDENTIFIER,CURRENCY,ACCOUNTING_ENTRY=_Z,PRICE_BASE=_Z,TRANSFORMATION=N,EXPENDITURE=_Z,INSTR_ASSET=_Z,COUNTERPART_SECTOR=S1,VALUATION=S,CONSOLIDATION=(_Z+N),COUNTERPART_AREA=W,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED FREQ=Q,REF_AREA=HRV,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE,ADJUSTMENT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC1@DF_QSA_TRANSACTIONS_C,DSD_NASEC1@DF_QSA_TRANSACTIONS_D,DSD_NASEC1@DF_QSA,DSD_HHDASH@DF_HHDASH_CTRY,DSD_HHDASH@DF_HHDASH_INDIC/latest RELATED_DATA Quarterly employment by institutional sector, domestic concept Emploi trimestriel par secteur institutionnel, concept intérieur This table presents employment by institutional sector: Non-financial Corporations, Financial corporations, General Government, Households and Non-profit institutions serving households (NPISHs). This table shows total employment according to the domestic concept, which is defined by the location of the producer unit: employment refers to residents and non-residents who are employed (or self-employed) in resident producer units. Data is presented in persons and in hours worked. <br><br>These indicators were presented in the previous dissemination system in the QASA_TABLE801 dataset. <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a><br> <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> Ce tableau présente l'emploi par secteur institutionnel : Sociétés non financières, Sociétés financières, Administrations publiques et Ménages et Institutions sans but lucratif au service des ménages (ISBLSM). Ce tableau présente l'emploi total selon le concept intérieur, qui est défini par la localisation de l'unité productrice : l'emploi fait référence aux résidents et aux non-résidents qui sont employés (ou travailleurs indépendants) dans des unités productrices résidentes. Les données sont présentées en personnes et en heures travaillées. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QASA_TABLE801. <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> NonProductionDataflow true TRANSACTION,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY LAYOUT_ROW_SECTION CONSOLIDATION,COUNTERPART_AREA LAYOUT_NOTE TABLE_IDENTIFIER,TRANSFORMATION=N,EXPENDITURE=_Z,INSTR_ASSET=_Z,COUNTERPART_SECTOR=S1,COUNTERPART_AREA=W,CONSOLIDATION=(_Z+N),VALUATION=S,OBS_STATUS=A,CONF_STATUS=F,UNIT_MEASURE NOT_DISPLAYED FREQ=Q,REF_AREA=FRA,ADJUSTMENT=N,LASTNPERIODS=5,SECTOR=S1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE,REF_YEAR_PRICE,ADJUSTMENT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_QASA_C(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC1@DF_QSA_EMPLOYMENT,DSD_NASEC1@DF_QSA_TRANSACTIONS_D,DSD_NASEC1@DF_QSA,DSD_HHDASH@DF_HHDASH_CTRY,DSD_HHDASH@DF_HHDASH_INDIC/latest RELATED_DATA Quarterly non-financial accounts by institutional sector (Revenue) Comptes trimestriels non financiers par secteur institutionnel (Recettes) This table presents the full sequence of non-financial accounts in the national accounts from the production account to the capital account. The sequence of non-financial accounts is presented for the economy of each country (or area) as a whole and also for its sectors: Non-financial Corporations, Financial Corporations, General Government, Households and Non-profit institutions serving households (NPISHs) and for the Rest of the world account. <br><br>This table presents the Revenue (or Resources) side of the accounts, including the balancing items. It is designed to be used in conjunction with the table entitled 'Quarterly non-financial accounts by institutional sector (Expenditure)'. <br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter in order to view the full sequence of non-financial accounts. Alternatively, specific lines within the sequence can be selected using the ‘Transaction’ filter to compare this item for combinations of sectors, countries and time periods. <br><br>These indicators were presented in the previous dissemination system in the QASA_TABLE801 dataset. <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> Ce tableau présente la séquence complète des comptes non financiers dans les comptes nationaux, du compte de production au compte de capital. La séquence des comptes non financiers est présentée pour l'économie de chaque pays (ou zone) dans son ensemble ainsi que pour ses secteurs : Sociétés non financières, Sociétés financières, Administrations publiques, Ménages et Institutions sans but lucratif au service des ménages (ISBLSM) et pour le Reste du monde. <br><br>Ce tableau présente la partie des comptes relative aux recettes (ou ressources), y compris les soldes. Il est conçu pour être utilisé en conjonction avec le tableau intitulé 'Comptes trimestriels non financiers par secteur institutionnel (Dépenses)'. <br><br>La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre 'Zone de référence' afin de visualiser la séquence complète des comptes non financiers. Alternativement, des lignes spécifiques dans la séquence peuvent être sélectionnées à l’aide du filtre 'Transaction' pour comparer cet élément pour des combinaisons de secteurs, de pays et de périodes. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QASA_TABLE801. <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> NonProductionDataflow true TRANSACTION,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY LAYOUT_ROW_SECTION CONSOLIDATION,COUNTERPART_AREA LAYOUT_NOTE TABLE_IDENTIFIER,TRANSFORMATION=N,EXPENDITURE=_Z,INSTR_ASSET=_Z,COUNTERPART_SECTOR=S1,COUNTERPART_AREA=W,CONSOLIDATION=(_Z+N),VALUATION=S,OBS_STATUS=A,CONF_STATUS=F,UNIT_MEASURE NOT_DISPLAYED FREQ=Q,REF_AREA=FRA,ADJUSTMENT=N,LASTNPERIODS=5,SECTOR=S1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE,REF_YEAR_PRICE,ADJUSTMENT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_QASA_D(1.0).H HIER_CONTEXT 14000 MAX_TABLE_DATA 1.0001 SEARCH_WEIGHT V2/structure/dataflow/OECD.SDD.NAD/DSD_NASEC1@DF_QSA_EMPLOYMENT,DSD_NASEC1@DF_QSA_TRANSACTIONS_C,DSD_NASEC1@DF_QSA,DSD_HHDASH@DF_HHDASH_CTRY,DSD_HHDASH@DF_HHDASH_INDIC/latest RELATED_DATA Quarterly non-financial accounts by institutional sector (Expenditure) Comptes trimestriels non financiers par secteur institutionnel (Dépenses) This table presents the full sequence of non-financial accounts in the national accounts from the production account to the capital account. The sequence of non-financial accounts is presented for the economy of each country (or area) as a whole and also for its sectors: Non-financial Corporations, Financial Corporations, General Government, Households and Non-profit institutions serving households (NPISHs) and for the Rest of the world account. <br><br>This table presents the Expenditure (or Uses) side of the accounts, including the balancing items. It is designed to be used in conjunction with the table entitled 'Quarterly non-financial accounts by institutional sector (Revenue)'. <br><br>The presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter in order to view the full sequence of non-financial accounts. Alternatively, specific lines within the sequence can be selected using the ‘Transaction’ filter to compare this item for combinations of sectors, countries and time periods. <br><br>These indicators were presented in the previous dissemination system in the QASA_TABLE801 dataset. <br>Explore also the GDP and non-financial accounts webpage: <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">GDP and non-financial accounts webpage</a><br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a><br> <br>See User Guide on Quarterly National Accounts (QNA) in OECD Data Explorer: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> Ce tableau présente la séquence complète des comptes non financiers dans les comptes nationaux, du compte de production au compte de capital. La séquence des comptes non financiers est présentée pour l'économie de chaque pays (ou zone) dans son ensemble ainsi que pour ses secteurs : Sociétés non financières, Sociétés financières, Administrations publiques, Ménages et Institutions sans but lucratif au service des ménages (ISBLSM) et pour le Reste du monde. <br><br>Ce tableau présente la partie des comptes relative aux dépenses (ou emplois), y compris les soldes. Il est est conçu pour être utilisé en conjonction avec le tableau intitulé 'Comptes trimestriels non financiers par secteur institutionnel (Recettes)'. <br><br>La présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre 'Zone de référence' afin de visualiser la séquence complète des comptes non financiers. Alternativement, des lignes spécifiques dans la séquence peuvent être sélectionnées à l’aide du filtre 'Transaction' pour comparer cet élément pour des combinaisons de secteurs, de pays et de périodes. <br><br>Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QASA_TABLE801. <br>Explorez aussi la page Web du PIB et comptes non financiers : <a href="https://www.oecd.org/fr/donnees/datasets/gdp-and-non-financial-accounts.html">page Web du PIB et comptes non financiers</a><br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> <br>Voir le guide utilisateur des Comptes Nationaux Trimestriels (QNA) dans l'explorateur des données de l'OCDE (en anglais seulement): <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=431d3be5-b42d-4c6c-ade1-49d65a926f72">QNA User guide</a> NonProductionDataflow true Quarterly non-financial accounts by institutional sectors IDC NonProductionDataflow true INSTR_ASSET,MATURITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,COUNTERPART_SECTOR,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S13,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUT,SECTOR=S13,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_GOV_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_A_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_GFD.ECO_NAD_GFD_GFA?references=dataflow RELATED_DATA Government Annual Financial Accounts (flows), consolidated Comptes financiers annuels du gouvernement (flux), consolidés The Government Financial Accounts show net acquisition of financial assets (or changes in assets) during the period, net incurrence of financial liabilities (or changes in liabilities) during the period, and net financial transactions (or changes in the net position: financial assets minus financial liabilities) during the period for the general government (S13) and its subsectors. This table shows the Financial Accounts on a consolidated basis, which means that flows between units within the same sector or subsector have been removed, so that the accounts only reflect flows vis-à-vis other (sub)sectors. <br> <br>In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the general government (S13), but you can use the ‘Institutional sector’ filter to select the related subsectors such as Central government, State government, Local government or Social security funds. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. <br> <br>Users should note that some countries do not produce consolidated accounts for all sectors. <br> <br> Explore also the OECD Government Finances and Public Sector Debt webpage: <a href="https://www.oecd.org/en/data/datasets/government-finances-and-public-sector-debt.html">Government Finances and Public Sector Debt webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les comptes financiers des administrations publiques présentent l'acquisition nette d'actifs financiers (ou les variations d'actifs) au cours de la période, l'engagement net de passifs financiers (ou les variations de passifs) au cours de la période et les opérations financières nettes (ou les variations de la position nette : actifs financiers moins passifs financiers) au cours de la période pour les administrations publiques (S13) et leurs sous-secteurs. Ce tableau présente les comptes financiers sur une base consolidée, ce qui signifie que les flux entre unités d'un même secteur ou sous-secteur ont été supprimés, de sorte que les comptes ne reflètent que les flux vis-à-vis d'autres (sous-)secteurs. <br> <br> Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "Zone de référence". La vue par défaut du tableau est celle des administrations publiques (S13), mais vous pouvez utiliser le filtre "Secteur institutionnel" pour sélectionner les sous-secteurs connexes tels que l'administration centrale, les administrations d'États fédérés, les administrations locales ou les administrations de sécurité sociale. Pour chaque secteur, le tableau présente des ventilations par instrument financier, par exemple monnaie et dépôts, titres de créance, prêts, actions et parts de fonds d'investissement, assurances et pensions. Les utilisateurs peuvent également choisir de comparer un seul instrument financier, tel que les actions cotées en bourse, pour plusieurs pays. <br> <br> Les utilisateurs doivent noter que certains pays ne produisent pas de comptes consolidés pour tous les secteurs. <br> Explorez la page Web des finances publiques et de la dette du secteur public de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/government-finances-and-public-sector-debt.html">page Web des finances publiques et de la dette du secteur public</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,MATURITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,COUNTERPART_SECTOR,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S13,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUS,SECTOR=S13,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_GOV_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_Q_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_GFD.ECO_NAD_GFD_GFA?references=dataflow RELATED_DATA Government Quarterly Financial Accounts (flows), consolidated Comptes financiers trimestriels du gouvernement (flux), consolidés The Government Financial Accounts show net acquisition of financial assets (or changes in assets) during the period, net incurrence of financial liabilities (or changes in liabilities) during the period, and net financial transactions (or changes in the net position: financial assets minus financial liabilities) during the period for the general government (S13) and its subsectors. This table shows the Financial Accounts on a consolidated basis, which means that flows between units within the same sector or subsector have been removed, so that the accounts only reflect flows vis-à-vis other (sub)sectors. <br> <br>In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the general government (S13), but you can use the ‘Institutional sector’ filter to select the related subsectors such as Central government, State government, Local government or Social security funds. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. <br> <br>Users should note that some countries do not produce consolidated accounts for all sectors. <br> <br> Explore also the OECD Government Finances and Public Sector Debt webpage: <a href="https://www.oecd.org/en/data/datasets/government-finances-and-public-sector-debt.html">Government Finances and Public Sector Debt webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les comptes financiers des administrations publiques présentent l'acquisition nette d'actifs financiers (ou les variations d'actifs) au cours de la période, l'engagement net de passifs financiers (ou les variations de passifs) au cours de la période et les opérations financières nettes (ou les variations de la position nette : actifs financiers moins passifs financiers) au cours de la période pour les administrations publiques (S13) et leurs sous-secteurs. Ce tableau présente les comptes financiers sur une base consolidée, ce qui signifie que les flux entre unités d'un même secteur ou sous-secteur ont été supprimés, de sorte que les comptes ne reflètent que les flux vis-à-vis d'autres (sous-)secteurs. <br> <br> Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "Zone de référence". La vue par défaut du tableau est celle des administrations publiques (S13), mais vous pouvez utiliser le filtre "Secteur institutionnel" pour sélectionner les sous-secteurs connexes tels que l'administration centrale, les administrations d'États fédérés, les administrations locales ou les administrations de sécurité sociale. Pour chaque secteur, le tableau présente des ventilations par instrument financier, par exemple monnaie et dépôts, titres de créance, prêts, actions et parts de fonds d'investissement, assurances et pensions. Les utilisateurs peuvent également choisir de comparer un seul instrument financier, tel que les actions cotées en bourse, pour plusieurs pays. <br> <br> Les utilisateurs doivent noter que certains pays ne produisent pas de comptes consolidés pour tous les secteurs. <br> Explorez la page Web des finances publiques et de la dette du secteur public de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/government-finances-and-public-sector-debt.html">page Web des finances publiques et de la dette du secteur public</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,MATURITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,COUNTERPART_SECTOR,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S1,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUT,SECTOR=S1,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_A_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FAC?references=dataflow RELATED_DATA Annual Financial Accounts (flows), consolidated Comptes financiers annuels (flux), consolidés The Financial Accounts show net acquisition of financial assets (or changes in assets) during the period, net incurrence of financial liabilities (or changes in liabilities) during the period, and net financial transactions (or changes in the net position: financial assets minus financial liabilities) during the period. This table shows the Financial Accounts on a consolidated basis, which means that flows between units within the same sector or subsector (or the economy as a whole) have been removed, so that the accounts only reflect flows vis-à-vis other (sub)sectors or between the economy and the rest of the world. <br> <br>In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the economy as a whole, but you can use the ‘Institutional sector’ filter to select specific sectors such as Non-financial Corporations, Financial Corporations, General Government and Households, as well as the Rest of the world account. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. <br> <br>Users should note that some countries do not produce consolidated accounts for all sectors. <br> <br>These indicators were presented in the previous dissemination system in the SNA_TABLE610R dataset. <br> Explore also the OECD Financial Accounts and Balance Sheets webpage: <a href="https://www.oecd.org/en/data/datasets/financial-accounts-and-balance-sheets.html">Financial Accounts and Balance Sheets webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les comptes financiers indiquent l'acquisition nette d'actifs financiers (ou les variations d'actifs) au cours de la période, l'engagement net de passifs financiers (ou les variations de passifs) au cours de la période et les transactions financières nettes (ou les variations de la position nette : actifs financiers moins passifs financiers) au cours de la période. Ce tableau présente les comptes financiers sur une base consolidée, ce qui signifie que les flux entre unités d'un même secteur ou sous-secteur (ou de l'économie dans son ensemble) ont été supprimés, de sorte que les comptes ne reflètent que les flux vis-à-vis d'autres (sous-)secteurs ou entre l'économie et le reste du monde. <br> <br> Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "Zone de référence". La vue par défaut du tableau est celle de l'économie dans son ensemble, mais vous pouvez utiliser le filtre "Secteur institutionnel" pour sélectionner des secteurs spécifiques tels que les sociétés non financières, les sociétés financières, les administrations publiques et les ménages, ainsi que le compte du reste du monde. Pour chaque secteur, le tableau présente des ventilations par instrument financier, par exemple monnaie et dépôts, titres de créance, prêts, actions et parts de fonds d'investissement, assurances et pensions. Les utilisateurs peuvent également choisir de comparer un seul instrument financier, tel que les actions cotées, pour plusieurs pays. <br> <br> Les utilisateurs doivent noter que certains pays ne produisent pas de comptes consolidés pour tous les secteurs. <br> <br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE610R. <br> Explorez la page Web des comptes financiers et comptes de patrimoine financier de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/financial-accounts-and-balance-sheets.html">page Web des comptes financiers et comptes de patrimoine financier</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,MATURITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,COUNTERPART_SECTOR,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S1,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUS,SECTOR=S1,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_Q_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FAC?references=dataflow RELATED_DATA Quarterly Financial Accounts (flows), consolidated Comptes financiers trimestriels (flux), consolidés The Financial Accounts show net acquisition of financial assets (or changes in assets) during the period, net incurrence of financial liabilities (or changes in liabilities) during the period, and net financial transactions (or changes in the net position: financial assets minus financial liabilities) during the period. This table shows the Financial Accounts on a consolidated basis, which means that flows between units within the same sector or subsector (or the economy as a whole) have been removed, so that the accounts only reflect flows vis-à-vis other (sub)sectors or between the economy and the rest of the world. <br> <br> In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the economy as a whole, but you can use the ‘Institutional sector’ filter to select specific sectors such as Non-financial Corporations, Financial Corporations, General Government and Households, as well as the Rest of the world account. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. <br> <br> Users should note that some countries do not produce consolidated accounts for all sectors. <br> <br> These indicators were presented in the previous dissemination system in the QASA_TABLE610R dataset. <br> Explore also the OECD Financial Accounts and Balance Sheets webpage: <a href="https://www.oecd.org/en/data/datasets/financial-accounts-and-balance-sheets.html">Financial Accounts and Balance Sheets webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les comptes financiers indiquent l'acquisition nette d'actifs financiers (ou les variations d'actifs) au cours de la période, l'engagement net de passifs financiers (ou les variations de passifs) au cours de la période et les transactions financières nettes (ou les variations de la position nette : actifs financiers moins passifs financiers) au cours de la période. Ce tableau présente les comptes financiers sur une base consolidée, ce qui signifie que les flux entre unités d'un même secteur ou sous-secteur (ou de l'économie dans son ensemble) ont été supprimés, de sorte que les comptes ne reflètent que les flux vis-à-vis d'autres (sous-)secteurs ou entre l'économie et le reste du monde. <br> <br> Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "Zone de référence". La vue par défaut du tableau est celle de l'économie dans son ensemble, mais vous pouvez utiliser le filtre "Secteur institutionnel" pour sélectionner des secteurs spécifiques tels que les sociétés non financières, les sociétés financières, les administrations publiques et les ménages, ainsi que le compte du reste du monde. Pour chaque secteur, le tableau présente des ventilations par instrument financier, par exemple monnaie et dépôts, titres de créance, prêts, actions et parts de fonds d'investissement, assurances et pensions. Les utilisateurs peuvent également choisir de comparer un seul instrument financier, tel que les actions cotées, pour plusieurs pays. <br> <br> Les utilisateurs doivent noter que certains pays ne produisent pas de comptes consolidés pour tous les secteurs. <br> <br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données QASA_TABLE610R. <br> Explorez la page Web des comptes financiers et comptes de patrimoine financier de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/financial-accounts-and-balance-sheets.html">page Web des comptes financiers et comptes de patrimoine financier</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,MATURITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,COUNTERPART_SECTOR,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S13,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUT,SECTOR=S13,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_GOV_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_A_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_GFD.ECO_NAD_GFD_GFA?references=dataflow RELATED_DATA Government Annual Financial Accounts (flows), non-consolidated Comptes financiers annuels du gouvernement (flux), non consolidés The Government Financial Accounts show net acquisition of financial assets (or changes in assets) during the period, net incurrence of financial liabilities (or changes in liabilities) during the period, and net financial transactions (or changes in the net position: financial assets minus financial liabilities) during the period for the general government (S13) and its subsectors. This table shows the Financial Accounts on a non-consolidated basis, meaning that it shows all flows, both between units belonging to different (sub)sectors and between units belonging to the same (sub)sector, in contrast with consolidated accounts in which flows between units within the same (sub)sector would be removed. <br> <br> In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the general government (S13), but you can use the ‘Institutional sector’ filter to select the related subsectors such as Central government, State government, Local government or Social security funds. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. <br> <br> Users should note that Australia does not produce non-consolidated accounts. <br> <br> Explore also the OECD Government Finances and Public Sector Debt webpage: <a href="https://www.oecd.org/en/data/datasets/government-finances-and-public-sector-debt.html">Government Finances and Public Sector Debt webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les comptes financiers des administrations publiques présentent l'acquisition nette d'actifs financiers (ou la variation des actifs) au cours de la période, l'engagement net de passifs financiers (ou la variation des passifs) au cours de la période et les opérations financières nettes (ou la variation de la position nette : actifs financiers moins passifs financiers) au cours de la période pour les administrations publiques (S13) et leurs sous-secteurs. Ce tableau présente les comptes financiers sur une base non consolidée, c'est-à-dire qu'il montre tous les flux, à la fois entre des unités appartenant à des (sous-)secteurs différents et entre des unités appartenant au même (sous-)secteur, contrairement aux comptes consolidés dans lesquels les flux entre les unités d'un même (sous-)secteur seraient supprimés. <br> <br> Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "Zone de référence". La vue par défaut du tableau est celle des administrations publiques (S13), mais vous pouvez utiliser le filtre "Secteur institutionnel" pour sélectionner les sous-secteurs connexes tels que l'administration centrale, les administrations d'États fédérés, les administrations locales ou les administrations de sécurité sociale. Pour chaque secteur, le tableau présente des ventilations par instrument financier, par exemple monnaie et dépôts, titres de créance, prêts, actions et parts de fonds d'investissement, assurances et pensions. Les utilisateurs peuvent également choisir de comparer un seul instrument financier, tel que les actions cotées en bourse, pour plusieurs pays. <br> <br> Les utilisateurs doivent noter que l'Australie ne produit pas de comptes non consolidés. <br> Explorez la page Web des finances publiques et de la dette du secteur public de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/government-finances-and-public-sector-debt.html">page Web des finances publiques et de la dette du secteur public</a> <br> Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,MATURITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,COUNTERPART_SECTOR,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S13,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUT,SECTOR=S13,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_GOV_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_Q_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_GFD.ECO_NAD_GFD_GFA?references=dataflow RELATED_DATA Government Quarterly Financial Accounts (flows), non-consolidated Comptes financiers trimestriels du gouvernement (flux), non consolidés The Government Financial Accounts show net acquisition of financial assets (or changes in assets) during the period, net incurrence of financial liabilities (or changes in liabilities) during the period, and net financial transactions (or changes in the net position: financial assets minus financial liabilities) during the period for the general government (S13) and its subsectors. This table shows the Financial Accounts on a non-consolidated basis, meaning that it shows all flows, both between units belonging to different (sub)sectors and between units belonging to the same (sub)sector, in contrast with consolidated accounts in which flows between units within the same (sub)sector would be removed. <br> <br> In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the general government (S13), but you can use the ‘Institutional sector’ filter to select the related subsectors such as Central government, State government, Local government or Social security funds. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. <br> <br> Users should note that Australia does not produce non-consolidated accounts. <br> <br> Explore also the OECD Government Finances and Public Sector Debt webpage: <a href="https://www.oecd.org/en/data/datasets/government-finances-and-public-sector-debt.html">Government Finances and Public Sector Debt webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les comptes financiers des administrations publiques présentent l'acquisition nette d'actifs financiers (ou la variation des actifs) au cours de la période, l'engagement net de passifs financiers (ou la variation des passifs) au cours de la période et les opérations financières nettes (ou la variation de la position nette : actifs financiers moins passifs financiers) au cours de la période pour les administrations publiques (S13) et leurs sous-secteurs. Ce tableau présente les comptes financiers sur une base non consolidée, c'est-à-dire qu'il montre tous les flux, à la fois entre des unités appartenant à des (sous-)secteurs différents et entre des unités appartenant au même (sous-)secteur, contrairement aux comptes consolidés dans lesquels les flux entre les unités d'un même (sous-)secteur seraient supprimés. <br> <br> Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "Zone de référence". La vue par défaut du tableau est celle des administrations publiques (S13), mais vous pouvez utiliser le filtre "Secteur institutionnel" pour sélectionner les sous-secteurs connexes tels que l'administration centrale, les administrations d'États fédérés, les administrations locales ou les administrations de sécurité sociale. Pour chaque secteur, le tableau présente des ventilations par instrument financier, par exemple monnaie et dépôts, titres de créance, prêts, actions et parts de fonds d'investissement, assurances et pensions. Les utilisateurs peuvent également choisir de comparer un seul instrument financier, tel que les actions cotées en bourse, pour plusieurs pays. <br> <br> Les utilisateurs doivent noter que l'Australie ne produit pas de comptes non consolidés. <br> Explorez la page Webdes finances publiques et de la dette du secteur public de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/government-finances-and-public-sector-debt.html">page Web des finances publiques et de la dette du secteur public</a> <br> Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,MATURITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,COUNTERPART_SECTOR,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S1,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUT,SECTOR=S1,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_A_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FAC?references=dataflow RELATED_DATA Annual Financial Accounts (flows), non-consolidated Comptes financiers annuels (flux), non consolidés The Financial Accounts show net acquisition of financial assets (or changes in assets) during the period, net incurrence of financial liabilities (or changes in liabilities) during the period, and net financial transactions (or changes in the net position: financial assets minus financial liabilities) during the period. This table shows the Financial Accounts on a non-consolidated basis, meaning that is shows all flows in the economy, both between units belonging to different (sub)sectors and between units belonging to the same (sub)sector, in contrast with consolidated accounts in which flows between units within the same (sub)sector would be removed. <br> <br> In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the economy as a whole, but you can use the ‘Institutional sector’ filter to select specific sectors such as Non-financial Corporations, Financial Corporations, General Government and Households, as well as the Rest of the world account. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. <br> <br> Users should note that Australia does not produce non-consolidated accounts. <br> <br> These indicators were presented in the previous dissemination system in the SNA_TABLE620R dataset. <br> Explore also the OECD Financial Accounts and Balance Sheets webpage: <a href="https://www.oecd.org/en/data/datasets/financial-accounts-and-balance-sheets.html">Financial Accounts and Balance Sheets webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les comptes financiers indiquent l'acquisition nette d'actifs financiers (ou les variations d'actifs) au cours de la période, l'engagement net de passifs financiers (ou les variations de passifs) au cours de la période et les transactions financières nettes (ou les variations de la position nette : actifs financiers moins passifs financiers) au cours de la période. Ce tableau présente les comptes financiers sur une base non consolidée, c'est-à-dire qu'il montre tous les flux dans l'économie, à la fois entre des unités appartenant à des (sous-)secteurs différents et entre des unités appartenant au même (sous-)secteur, contrairement aux comptes consolidés dans lesquels les flux entre les unités au sein du même (sous-)secteur seraient supprimés. <br> <br> Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "Zone de référence". La vue par défaut du tableau est celle de l'économie dans son ensemble, mais vous pouvez utiliser le filtre "Secteur institutionnel" pour sélectionner des secteurs spécifiques tels que les sociétés non financières, les sociétés financières, les administrations publiques et les ménages, ainsi que le compte du reste du monde. Pour chaque secteur, le tableau présente des ventilations par instrument financier, par exemple monnaie et dépôts, titres de créance, prêts, actions et parts de fonds d'investissement, assurances et pensions. Les utilisateurs peuvent également choisir de comparer un seul instrument financier, tel que les actions cotées, pour plusieurs pays. <br> <br> Les utilisateurs doivent noter que l'Australie ne produit pas de comptes non consolidés. <br> <br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE620R. <br> Explorez la page Web des comptes financiers et comptes de patrimoine financier de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/financial-accounts-and-balance-sheets.html">page Web des comptes financiers et comptes de patrimoine financier</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,MATURITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,COUNTERPART_SECTOR,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S1,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUT,SECTOR=S1,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_Q_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FAC?references=dataflow RELATED_DATA Quarterly Financial Accounts (flows), non-consolidated Comptes financiers trimestriels (flux), non consolidés The Financial Accounts show net acquisition of financial assets (or changes in assets) during the period, net incurrence of financial liabilities (or changes in liabilities) during the period, and net financial transactions (or changes in the net position: financial assets minus financial liabilities) during the period. This table shows the Financial Accounts on a non-consolidated basis, meaning that it shows all flows in the economy, both between units belonging to different (sub)sectors and between units belonging to the same (sub)sector, in contrast with consolidated accounts in which flows between units within the same (sub)sector would be removed. <br> <br> In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the economy as a whole, but you can use the ‘Institutional sector’ filter to select specific sectors such as Non-financial Corporations, Financial Corporations, General Government and Households, as well as the Rest of the world account. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. <br> <br> Users should note that Australia does not produce non-consolidated accounts. <br> <br> These indicators were presented in the previous dissemination system in the QASA_TABLE620R dataset. <br> Explore also the OECD Financial Accounts and Balance Sheets webpage: <a href="https://www.oecd.org/en/data/datasets/financial-accounts-and-balance-sheets.html">Financial Accounts and Balance Sheets webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les comptes financiers indiquent l'acquisition nette d'actifs financiers (ou les variations d'actifs) au cours de la période, l'engagement net de passifs financiers (ou les variations de passifs) au cours de la période et les transactions financières nettes (ou les variations de la position nette : actifs financiers moins passifs financiers) au cours de la période. Ce tableau présente les comptes financiers sur une base non consolidée, ce qui signifie qu'il montre tous les flux dans l'économie, à la fois entre des unités appartenant à des (sous-)secteurs différents et entre des unités appartenant au même (sous-)secteur, contrairement aux comptes consolidés dans lesquels les flux entre les unités au sein du même (sous-)secteur seraient supprimés. <br> <br> Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "Zone de référence". La vue par défaut du tableau est celle de l'économie dans son ensemble, mais vous pouvez utiliser le filtre "Secteur institutionnel" pour sélectionner des secteurs spécifiques tels que les sociétés non financières, les sociétés financières, les administrations publiques et les ménages, ainsi que le compte du reste du monde. Pour chaque secteur, le tableau présente des ventilations par instrument financier, par exemple monnaie et dépôts, titres de créance, prêts, actions et parts de fonds d'investissement, assurances et pensions. Les utilisateurs peuvent également choisir de comparer un seul instrument financier, tel que les actions cotées, pour plusieurs pays. <br> <br> Les utilisateurs doivent noter que l'Australie ne produit pas de comptes non consolidés. <br> <br> Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QASA_TABLE620R. <br> Explorez la page Web des comptes financiers et comptes de patrimoine financier de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/financial-accounts-and-balance-sheets.html">page Web des comptes financiers et comptes de patrimoine financier</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true SECTOR,INSTR_ASSET,MATURITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,COUNTERPART_SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=D,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S1,COUNTERPART_SECTOR=S1,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUT,SECTOR=S1,COUNTERPART_SECTOR=S2,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_W_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FWM?references=dataflow RELATED_DATA Annual Financial Accounts (flows) - counterpart information Comptes financiers annuels par contrepartie (flux), non consolidés The Financial Accounts show net acquisition of financial assets, net incurrence of financial liabilities and net financial transactions during the period. The breakdown of these transactions by counterpart sector enriches this information by providing insight into the relationships between institutional sectors within an economy as well as between the domestic economy and the rest of the world. <br> <br> This default view of this table shows the relationship between the total economy and the rest of the world for one country (or area) at a time, for those countries for which data is available. You can use the ‘Institutional sector’ and ‘Counterpart institutional sector’ filters to show relationships between specific sectors such as Non-financial Corporations, Financial Corporations, General Government and Households and non-profit institutions service households (NPISH). For each relationship, the table presents breakdowns by financial instrument. By selecting a specific financial instrument, it is possible to see flows between the economy and the rest of the world and between different institutional sectors (e.g. for loans, flows between creditors and debtors). <br> <br> These indicators were presented in the previous dissemination system in the SNA_TABLE625R dataset. <br> Explore also the OECD Financial Accounts and Balance Sheets webpage: <a href="https://www.oecd.org/en/data/datasets/financial-accounts-and-balance-sheets.html">Financial Accounts and Balance Sheets webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les comptes financiers indiquent l'acquisition nette d'actifs financiers, l'engagement net de passifs financiers et les transactions financières nettes au cours de la période. La ventilation de ces opérations par secteur de contrepartie enrichit ces informations en donnant un aperçu des relations entre les secteurs institutionnels au sein d'une économie ainsi qu'entre l'économie nationale et le reste du monde. <br> <br> La vue par défaut de ce tableau montre la relation entre l'économie totale et le reste du monde pour un pays (ou une zone) à la fois, pour les pays pour lesquels les données sont disponibles. Vous pouvez utiliser les filtres "Secteur institutionnel" et "Secteur institutionnel de contrepartie" pour afficher les relations entre des secteurs spécifiques tels que les sociétés non financières, les sociétés financières, les administrations publiques et les ménages et institutions sans but lucratif au service des ménages (ISBLSM). Pour chaque relation, le tableau présente des ventilations par instrument financier. En sélectionnant un instrument financier spécifique, il est possible de voir les flux entre l'économie et le reste du monde et entre différents secteurs institutionnels (par exemple, pour les prêts, les flux entre créanciers et débiteurs). <br> <br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE625R. <br> Explorez la page Web des comptes financiers et comptes de patrimoine financier de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/financial-accounts-and-balance-sheets.html">page Web des comptes financiers et comptes de patrimoine financier</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true SECTOR,INSTR_ASSET,MATURITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,COUNTERPART_SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=D,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S1,COUNTERPART_SECTOR=S1,INSTR_ASSET=F,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUT,SECTOR=S1,COUNTERPART_SECTOR=S2,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_W_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FWM?references=dataflow RELATED_DATA Quarterly Financial Accounts (flows) - counterpart information Comptes financiers trimestriels par contrepartie (flux), non consolidés The Financial Accounts show net acquisition of financial assets, net incurrence of financial liabilities and net financial transactions during the period. The breakdown of these transactions by counterpart sector enriches this information by providing insight into the relationships between institutional sectors within an economy as well as between the domestic economy and the rest of the world. <br> <br> This default view of this table shows the relationship between the total economy and the rest of the world for one country (or area) at a time, for those countries for which data is available. You can use the ‘Institutional sector’ and ‘Counterpart institutional sector’ filters to show relationships between specific sectors such as Non-financial Corporations, Financial Corporations, General Government and Households and non-profit institutions service households (NPISH). For each relationship, the table presents breakdowns by financial instrument. By selecting a specific financial instrument, it is possible to see flows between the economy and the rest of the world and between different institutional sectors (e.g. for loans, flows between creditors and debtors). <br> <br> These indicators were presented in the previous dissemination system in the QASA_TABLE625R dataset. <br> Explore also the OECD Financial Accounts and Balance Sheets webpage: <a href="https://www.oecd.org/en/data/datasets/financial-accounts-and-balance-sheets.html">Financial Accounts and Balance Sheets webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les comptes financiers présentent l'acquisition nette d'actifs financiers, l'augmentation nette de passifs financiers et les transactions financières nettes au cours de la période. La ventilation de ces opérations par secteur de contrepartie enrichit ces informations en donnant un aperçu des relations entre les secteurs institutionnels au sein d'une économie ainsi qu'entre l'économie nationale et le reste du monde. <br> <br> La vue par défaut de ce tableau montre la relation entre l'économie totale et le reste du monde pour un pays (ou une zone) à la fois, pour les pays pour lesquels les données sont disponibles. Vous pouvez utiliser les filtres "Secteur institutionnel" et "Secteur institutionnel de contrepartie" pour afficher les relations entre des secteurs spécifiques tels que les sociétés non financières, les sociétés financières, les administrations publiques et les ménages et institutions sans but lucratif au service des ménages (ISBLSM). Pour chaque relation, le tableau présente des ventilations par instrument financier. En sélectionnant un instrument financier spécifique, il est possible de voir les flux entre l'économie et le reste du monde et entre différents secteurs institutionnels (par exemple, pour les prêts, les flux entre créanciers et débiteurs). <br> <br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données QASA_TABLE625R. <br> Explorez la page Webdes comptes financiers et comptes de patrimoine financier de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/financial-accounts-and-balance-sheets.html">page Web des comptes financiers et comptes de patrimoine financier</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,MATURITY,CURRENCY_DENOM LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,COUNTERPART_SECTOR,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S13,INSTR_ASSET=F,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUT,SECTOR=S13,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_GOV_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_A_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;CURRENCY_DENOM:CURRENCY_DENOM;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;CURRENCY_DENOM:Currency of denomination;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;CURRENCY_DENOM:Monnaie de libellé;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_GFD.ECO_NAD_GFD_GFA?references=dataflow RELATED_DATA Government Annual Financial Balance Sheets (stocks), consolidated Comptes de patrimoine financier annuels du gouvernement (stocks), consolidés The Government Financial Balance Sheets show financial assets, liabilities and net financial worth (assets minus liabilities) at the end of the period for the general government (S13) and its subsectors. This table is on a consolidated basis, which means that counterpart assets and liabilities of units within the same sector or subsector have been removed. <br> <br> In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the general government, but you can use the ‘Institutional sector’ filter to select related subsectors such as Central government, State government, Local government or Social security funds. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. <br> <br> Users should note that some countries do not produce consolidated accounts for all sectors. <br> <br> Explore also the OECD Government Finances and Public Sector Debt webpage: <a href="https://www.oecd.org/en/data/datasets/government-finances-and-public-sector-debt.html">Government Finances and Public Sector Debt webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les bilans financiers des administrations publiques présentent les actifs financiers, les passifs et la valeur financière nette (actifs moins passifs) à la fin de la période pour les administrations publiques (S13) et leurs sous-secteurs. Ce tableau est consolidé, ce qui signifie que les actifs et passifs de contrepartie des unités d'un même secteur ou sous-secteur ont été supprimés. <br> <br> Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "Zone de référence". La vue par défaut du tableau est celle des administrations publiques, mais vous pouvez utiliser le filtre "Secteur institutionnel" pour sélectionner des sous-secteurs connexes tels que l'administration centrale, l'administration d'État, l'administration locale ou les administrations de sécurité sociale. Pour chaque secteur, le tableau présente des ventilations par instrument financier, par exemple monnaie et dépôts, titres de créance, prêts, actions et parts de fonds d'investissement, assurances et pensions. Les utilisateurs peuvent également choisir de comparer un seul instrument financier, tel que les actions cotées en bourse, pour plusieurs pays. <br> <br> Les utilisateurs doivent noter que certains pays ne produisent pas de comptes consolidés pour tous les secteurs. <br> Explorez la page Web des finances publiques et de la dette du secteur public de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/government-finances-and-public-sector-debt.html">page Web des finances publiques et de la dette du secteur public</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,MATURITY,CURRENCY_DENOM LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,COUNTERPART_SECTOR,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S13,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUS,SECTOR=S13,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_GOV_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_Q_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;CURRENCY_DENOM:CURRENCY_DENOM;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;CURRENCY_DENOM:Currency of denomination;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;CURRENCY_DENOM:Monnaie de libellé;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_GFD.ECO_NAD_GFD_GFA?references=dataflow RELATED_DATA Government Quarterly Financial Balance Sheets (stocks), consolidated Comptes de patrimoine financier trimestriels du gouvernement (stocks), consolidés The Government Financial Balance Sheets show financial assets, liabilities and net financial worth (assets minus liabilities) at the end of the period for the general government (S13) and its subsectors. This table is on a consolidated basis, which means that counterpart assets and liabilities of units within the same sector or subsector have been removed. <br> <br> In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the general government, but you can use the ‘Institutional sector’ filter to select related subsectors such as Central government, State government, Local government or Social security funds. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. <br> <br> Users should note that some countries do not produce consolidated accounts for all sectors. <br> <br> Explore also the OECD Government Finances and Public Sector Debt webpage: <a href="https://www.oecd.org/en/data/datasets/government-finances-and-public-sector-debt.html">Government Finances and Public Sector Debt webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les bilans financiers des administrations publiques présentent les actifs financiers, les passifs et la valeur financière nette (actifs moins passifs) à la fin de la période pour les administrations publiques (S13) et leurs sous-secteurs. Ce tableau est consolidé, ce qui signifie que les actifs et passifs de contrepartie des unités d'un même secteur ou sous-secteur ont été supprimés. <br> <br> Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "Zone de référence". La vue par défaut du tableau est celle des administrations publiques, mais vous pouvez utiliser le filtre "Secteur institutionnel" pour sélectionner des sous-secteurs connexes tels que l'administration centrale, l'administration d'État, l'administration locale ou les administrations de sécurité sociale. Pour chaque secteur, le tableau présente des ventilations par instrument financier, par exemple monnaie et dépôts, titres de créance, prêts, actions et parts de fonds d'investissement, assurances et pensions. Les utilisateurs peuvent également choisir de comparer un seul instrument financier, tel que les actions cotées en bourse, pour plusieurs pays. <br> <br> Les utilisateurs doivent noter que certains pays ne produisent pas de comptes consolidés pour tous les secteurs. <br> Explorez la page Web des finances publiques et de la dette du secteur public de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/government-finances-and-public-sector-debt.html">page Web des finances publiques et de la dette du secteur public</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,MATURITY,CURRENCY_DENOM LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,COUNTERPART_SECTOR,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S1,INSTR_ASSET=F,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUT,SECTOR=S1,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_A_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;CURRENCY_DENOM:CURRENCY_DENOM;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;CURRENCY_DENOM:Currency of denomination;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;CURRENCY_DENOM:Monnaie de libellé;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FBS?references=dataflow RELATED_DATA Annual Financial Balance Sheets (stocks), consolidated Comptes de patrimoine financier annuels (stocks), consolidés The Financial Balance Sheets show financial assets, liabilities and net financial worth (assets minus liabilities) at the end of the period. This table is on a consolidated basis, which means that counterpart assets and liabilities of units within the same sector or subsector (or the economy as a whole) have been removed. <br> <br> In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the economy as a whole, but you can use the ‘Institutional sector’ filter to select specific sectors such as Non-financial Corporations, Financial Corporations, General Government and Households, as well as the Rest of the world account. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. <br> <br> Users should note that some countries do not produce consolidated accounts for all sectors. <br> <br> These indicators were presented in the previous dissemination system in the SNA_TABLE710R dataset. <br> Explore also the OECD Financial Accounts and Balance Sheets webpage: <a href="https://www.oecd.org/en/data/datasets/financial-accounts-and-balance-sheets.html">Financial Accounts and Balance Sheets webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les bilans financiers présentent les actifs financiers, les passifs et la valeur financière nette (actifs moins passifs) à la fin de la période. Ce tableau est présenté sur une base consolidée, ce qui signifie que les actifs et passifs de contrepartie des unités d'un même secteur ou sous-secteur (ou de l'économie dans son ensemble) ont été supprimés. <br> <br> Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "Zone de référence". La vue par défaut du tableau est celle de l'économie dans son ensemble, mais vous pouvez utiliser le filtre "Secteur institutionnel" pour sélectionner des secteurs spécifiques tels que les sociétés non financières, les sociétés financières, les administrations publiques et les ménages, ainsi que le compte du reste du monde. Pour chaque secteur, le tableau présente des ventilations par instrument financier, par exemple monnaie et dépôts, titres de créance, prêts, actions et parts de fonds d'investissement, assurances et pensions. Les utilisateurs peuvent également choisir de comparer un seul instrument financier, tel que les actions cotées, pour plusieurs pays. <br> <br> Les utilisateurs doivent noter que certains pays ne produisent pas de comptes consolidés pour tous les secteurs. <br> <br> Ces données étaient présentées dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE710R. <br> Explorez la page Web des comptes financiers et comptes de patrimoine financier de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/financial-accounts-and-balance-sheets.html">page Web des comptes financiers et comptes de patrimoine financier</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,MATURITY,CURRENCY_DENOM LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,COUNTERPART_SECTOR,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S1,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUS,SECTOR=S1,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_Q_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;CURRENCY_DENOM:CURRENCY_DENOM;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;CURRENCY_DENOM:Currency of denomination;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;CURRENCY_DENOM:Monnaie de libellé;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FBS?references=dataflow RELATED_DATA Quarterly Financial Balance Sheets (stocks), consolidated Comptes de patrimoine financier trimestriels (stocks), consolidés The Financial Balance Sheets show financial assets, liabilities and net financial worth (assets minus liabilities) at the end of the period. This table is on a consolidated basis, which means that counterpart assets and liabilities of units within the same sector or subsector (or the economy as a whole) have been removed. <br> <br> In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the economy as a whole, but you can use the ‘Institutional sector’ filter to select specific sectors such as Non-financial Corporations, Financial Corporations, General Government and Households, as well as the Rest of the world account. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. <br> <br> Users should note that some countries do not produce consolidated accounts for all sectors. <br> <br> These indicators were presented in the previous dissemination system in the QASA_TABLE710R dataset. <br> Explore also the OECD Financial Accounts and Balance Sheets webpage: <a href="https://www.oecd.org/en/data/datasets/financial-accounts-and-balance-sheets.html">Financial Accounts and Balance Sheets webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les bilans financiers présentent les actifs financiers, les passifs et la valeur financière nette (actifs moins passifs) à la fin de la période. Ce tableau est présenté sur une base consolidée, ce qui signifie que les actifs et passifs de contrepartie des unités d'un même secteur ou sous-secteur (ou de l'économie dans son ensemble) ont été supprimés. <br> <br> Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "Zone de référence". La vue par défaut du tableau est celle de l'économie dans son ensemble, mais vous pouvez utiliser le filtre "Secteur institutionnel" pour sélectionner des secteurs spécifiques tels que les sociétés non financières, les sociétés financières, les administrations publiques et les ménages, ainsi que le compte du reste du monde. Pour chaque secteur, le tableau présente des ventilations par instrument financier, par exemple monnaie et dépôts, titres de créance, prêts, actions et parts de fonds d'investissement, assurances et pensions. Les utilisateurs peuvent également choisir de comparer un seul instrument financier, tel que les actions cotées, pour plusieurs pays. <br> <br> Les utilisateurs doivent noter que certains pays ne produisent pas de comptes consolidés pour tous les secteurs. <br> <br> Ces indicateurs étaient présentés dans le système de diffusion précédent dans l'ensemble de données QASA_TABLE710R. <br> Explorez la page Web des comptes financiers et comptes de patrimoine financier de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/financial-accounts-and-balance-sheets.html">page Web des comptes financiers et comptes de patrimoine financier</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,MATURITY,CURRENCY_DENOM LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,COUNTERPART_SECTOR,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S13,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUT,SECTOR=S13,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_GOV_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_A_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;CURRENCY_DENOM:CURRENCY_DENOM;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;CURRENCY_DENOM:Currency of denomination;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;CURRENCY_DENOM:Monnaie de libellé;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_GFD.ECO_NAD_GFD_GFA?references=dataflow RELATED_DATA Government Annual Financial Balance Sheets (stocks), non-consolidated Comptes de patrimoine financier annuels du gouvernement (stocks), non consolidés The Government Financial Balance Sheets show financial assets, liabilities and net financial worth (assets minus liabilities) at the end of the period for the general government (S13) and its subsectors. This table is on a non-consolidated basis, meaning that it shows all assets and liabilities of units in a sector or subsector, in contrast with consolidated balance sheets in which counterpart assets and liabilities of units within the same sector or subsector would be removed. <br> <br> In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the general government, but you can use the ‘Institutional sector’ filter to select related subsectors such as Central government, State government, Local government or Social security funds. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. <br> <br> Users should note that Australia does not produce non-consolidated accounts. <br> <br> Explore also the OECD Government Finances and Public Sector Debt webpage: <a href="https://www.oecd.org/en/data/datasets/government-finances-and-public-sector-debt.html">Government Finances and Public Sector Debt webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les bilans financiers des administrations publiques présentent les actifs financiers, les passifs et la valeur financière nette (actifs moins passifs) à la fin de la période pour les administrations publiques (S13) et leurs sous-secteurs. Ce tableau est non consolidé, ce qui signifie qu'il présente tous les actifs et passifs des unités d'un secteur ou d'un sous-secteur, contrairement aux bilans consolidés dans lesquels les actifs et passifs de contrepartie des unités du même secteur ou sous-secteur seraient supprimés. <br> <br> Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "Zone de référence". La vue par défaut du tableau est celle des administrations publiques, mais vous pouvez utiliser le filtre "Secteur institutionnel" pour sélectionner des sous-secteurs connexes tels que l'administration centrale, l'administration d'État, l'administration locale ou les administrations de sécurité sociale. Pour chaque secteur, le tableau présente des ventilations par instrument financier, par exemple monnaie et dépôts, titres de créance, prêts, actions et parts de fonds d'investissement, assurances et pensions. Les utilisateurs peuvent également choisir de comparer un seul instrument financier, tel que les actions cotées en bourse, pour plusieurs pays. <br> <br> Les utilisateurs doivent noter que l'Australie ne produit pas de comptes non consolidés. <br> Explorez la page Web des finances publiques et de la dette du secteur public de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/government-finances-and-public-sector-debt.html">page Web des finances publiques et de la dette du secteur public</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,MATURITY,CURRENCY_DENOM LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,COUNTERPART_SECTOR,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S13,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUT,SECTOR=S13,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_GOV_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_Q_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;CURRENCY_DENOM:CURRENCY_DENOM;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;CURRENCY_DENOM:Currency of denomination;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;CURRENCY_DENOM:Monnaie de libellé;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_GFD.ECO_NAD_GFD_GFA?references=dataflow RELATED_DATA Government Quarterly Financial Balance Sheets (stocks), non-consolidated Comptes de patrimoine financier trimestriels du gouvernement (stocks), non consolidés The Government Financial Balance Sheets show financial assets, liabilities and net financial worth (assets minus liabilities) at the end of the period for the general government (S13) and its subsectors. This table is on a non-consolidated basis, meaning that it shows all assets and liabilities of units in a sector or subsector, in contrast with consolidated balance sheets in which counterpart assets and liabilities of units within the same sector or subsector would be removed. <br> <br> In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the general government, but you can use the ‘Institutional sector’ filter to select related subsectors such as Central government, State government, Local government or Social security funds. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. <br> <br> Users should note that Australia does not produce non-consolidated accounts. <br> <br> Explore also the OECD Government Finances and Public Sector Debt webpage: <a href="https://www.oecd.org/en/data/datasets/government-finances-and-public-sector-debt.html">Government Finances and Public Sector Debt webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les bilans financiers des administrations publiques présentent les actifs financiers, les passifs et la valeur financière nette (actifs moins passifs) à la fin de la période pour les administrations publiques (S13) et leurs sous-secteurs. Ce tableau est non consolidé, ce qui signifie qu'il présente tous les actifs et passifs des unités d'un secteur ou d'un sous-secteur, contrairement aux bilans consolidés dans lesquels les actifs et passifs de contrepartie des unités du même secteur ou sous-secteur seraient supprimés. <br> <br> Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "Zone de référence". La vue par défaut du tableau est celle des administrations publiques, mais vous pouvez utiliser le filtre "Secteur institutionnel" pour sélectionner des sous-secteurs connexes tels que l'administration centrale, l'administration d'État, l'administration locale ou les administrations de sécurité sociale. Pour chaque secteur, le tableau présente des ventilations par instrument financier, par exemple monnaie et dépôts, titres de créance, prêts, actions et parts de fonds d'investissement, assurances et pensions. Les utilisateurs peuvent également choisir de comparer un seul instrument financier, tel que les actions cotées en bourse, pour plusieurs pays. <br> <br> Les utilisateurs doivent noter que l'Australie ne produit pas de comptes non consolidés. <br> Explorez la page Web des finances publiques et de la dette du secteur public de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/government-finances-and-public-sector-debt.html">page Web des finances publiques et de la dette du secteur public</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,MATURITY,CURRENCY_DENOM LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,COUNTERPART_SECTOR,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S1,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUT,SECTOR=S1,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_A_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;CURRENCY_DENOM:CURRENCY_DENOM;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;CURRENCY_DENOM:Currency of denomination;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;CURRENCY_DENOM:Monnaie de libellé;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FBS?references=dataflow RELATED_DATA Annual Financial Balance Sheets (stocks), non-consolidated Comptes de patrimoine financier annuels (stocks), non consolidés The Financial Balance Sheets show financial assets, liabilities and net financial worth (assets minus liabilities) at the end of the period. This table is on a non-consolidated basis, meaning that it shows all assets and liabilities of units in a sector or subsector (or the economy as a whole), in contrast with consolidated balance sheets in which counterpart assets and liabilities of units within the same sector or subsector (or the economy as a whole) would be removed. <br> <br> In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the economy as a whole, but you can use the ‘Institutional sector’ filter to select specific sectors such as Non-financial Corporations, Financial Corporations, General Government and Households, as well as the Rest of the world account. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. <br> <br> Users should note that Australia does not produce non-consolidated accounts. <br> <br> These indicators were presented in the previous dissemination system in the SNA_TABLE720R dataset. <br> Explore also the OECD Financial Accounts and Balance Sheets webpage: <a href="https://www.oecd.org/en/data/datasets/financial-accounts-and-balance-sheets.html">Financial Accounts and Balance Sheets webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les bilans financiers présentent les actifs financiers, les passifs et la valeur financière nette (actifs moins passifs) à la fin de la période. Ce tableau est non consolidé, ce qui signifie qu'il présente tous les actifs et passifs des unités d'un secteur ou d'un sous-secteur (ou de l'économie dans son ensemble), contrairement aux bilans consolidés dans lesquels les actifs et passifs de contrepartie des unités du même secteur ou sous-secteur (ou de l'économie dans son ensemble) seraient supprimés. <br> <br> Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "Zone de référence". La vue par défaut du tableau est celle de l'économie dans son ensemble, mais vous pouvez utiliser le filtre "Secteur institutionnel" pour sélectionner des secteurs spécifiques tels que les sociétés non financières, les sociétés financières, les administrations publiques et les ménages, ainsi que le compte du reste du monde. Pour chaque secteur, le tableau présente des ventilations par instrument financier, par exemple monnaie et dépôts, titres de créance, prêts, actions et parts de fonds d'investissement, assurances et pensions. Les utilisateurs peuvent également choisir de comparer un seul instrument financier, tel que les actions cotées, pour plusieurs pays. <br> <br> Les utilisateurs doivent noter que l'Australie ne produit pas de comptes non consolidés. <br> <br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE720R. <br> Explorez la page Web des comptes financiers et comptes de patrimoine financier de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/financial-accounts-and-balance-sheets.html">page Web des comptes financiers et comptes de patrimoine financier</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,MATURITY,CURRENCY_DENOM LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,COUNTERPART_SECTOR,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S1,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUT,SECTOR=S1,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_Q_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;CURRENCY_DENOM:CURRENCY_DENOM;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;CURRENCY_DENOM:Currency of denomination;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;CURRENCY_DENOM:Monnaie de libellé;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FBS?references=dataflow RELATED_DATA Quarterly Financial Balance Sheets (stocks), non-consolidated Comptes de patrimoine financier trimestriels (stocks), non consolidés The Financial Balance Sheets show financial assets, liabilities and net financial worth (assets minus liabilities) at the end of the period. This table is on a non-consolidated basis, meaning that it shows all assets and liabilities of units in a sector or subsector (or the economy as a whole), in contrast with consolidated balance sheets in which counterpart assets and liabilities of units within the same sector or subsector (or the economy as a whole) would be removed. <br> <br> In this table, the presentation is on a country-by-country basis. Users are recommended to select one country (or area) at a time in the ‘Reference area’ filter. The default view of the table is for the economy as a whole, but you can use the ‘Institutional sector’ filter to select specific sectors such as Non-financial Corporations, Financial Corporations, General Government and Households, as well as the Rest of the world account. For each sector, the table presents breakdowns by financial instrument, for example currency and deposits, debt securities, loans, equity and investment fund shares, insurance and pensions. Users can also choose to compare a single financial instrument, such as listed shares, for several countries. <br> <br> Users should note that Australia does not produce non-consolidated accounts. <br> <br> These indicators were presented in the previous dissemination system in the QASA_TABLE720R dataset. <br> Explore also the OECD Financial Accounts and Balance Sheets webpage: <a href="https://www.oecd.org/en/data/datasets/financial-accounts-and-balance-sheets.html">Financial Accounts and Balance Sheets webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les bilans financiers présentent les actifs financiers, les passifs et la valeur financière nette (actifs moins passifs) à la fin de la période. Ce tableau est non consolidé, ce qui signifie qu'il présente tous les actifs et passifs des unités d'un secteur ou d'un sous-secteur (ou de l'économie dans son ensemble), contrairement aux bilans consolidés dans lesquels les actifs et passifs de contrepartie des unités du même secteur ou sous-secteur (ou de l'économie dans son ensemble) seraient supprimés. <br> <br> Dans ce tableau, la présentation se fait pays par pays. Il est recommandé aux utilisateurs de sélectionner un pays (ou une zone) à la fois dans le filtre "Zone de référence". La vue par défaut du tableau est celle de l'économie dans son ensemble, mais vous pouvez utiliser le filtre "Secteur institutionnel" pour sélectionner des secteurs spécifiques tels que les sociétés non financières, les sociétés financières, les administrations publiques et les ménages, ainsi que le compte du reste du monde. Pour chaque secteur, le tableau présente des ventilations par instrument financier, par exemple monnaie et dépôts, titres de créance, prêts, actions et parts de fonds d'investissement, assurances et pensions. Les utilisateurs peuvent également choisir de comparer un seul instrument financier, tel que les actions cotées, pour plusieurs pays. <br> <br> Les utilisateurs doivent noter que l'Australie ne produit pas de comptes non consolidés. <br> <br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données QASA_TABLE720R. <br> Explorez la page Web des comptes financiers et comptes de patrimoine financier de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/financial-accounts-and-balance-sheets.html">page Web des comptes financiers et comptes de patrimoine financier</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true SECTOR,INSTR_ASSET,MATURITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,COUNTERPART_SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=D,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S1,COUNTERPART_SECTOR=S1,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUT,SECTOR=S1,COUNTERPART_SECTOR=S2,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_W_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FWM?references=dataflow RELATED_DATA Annual Financial Balance Sheets (stocks) - counterpart information Comptes de patrimoine financier annuels par contrepartie (stocks), non consolidés The Financial Balance Sheets show financial assets, liabilities and net financial worth (assets minus liabilities) at the end of the period. The breakdown of positions by counterpart sector enriches this information by providing insight into the relationships between institutional sectors within an economy as well as between the domestic economy and the rest of the world. <br> <br> This default view of this table shows the relationship between the total economy and the rest of the world for one country (or area) at a time, for those countries for which data is available. You can use the ‘Institutional sector’ and ‘Counterpart institutional sector’ filters to show relationships between specific sectors such as Non-financial Corporations, Financial Corporations, General Government and Households and non-profit institutions service households (NPISH). For each relationship, the table presents breakdowns by financial instrument. By selecting a specific financial instrument (e.g. loans), it is possible to see the counterpart holdings of assets and liabilities of the economy and the rest of the world and of the different institutional sectors. <br> <br> These indicators were presented in the previous dissemination system in the SNA_TABLE725R dataset. <br> Explore also the OECDFinancial Accounts and Balance Sheets webpage: <a href="https://www.oecd.org/en/data/datasets/financial-accounts-and-balance-sheets.html">Financial Accounts and Balance Sheets webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les bilans financiers présentent les actifs financiers, les passifs et la valeur financière nette (actifs moins passifs) à la fin de la période. La ventilation des positions par secteur de contrepartie enrichit ces informations en donnant un aperçu des relations entre les secteurs institutionnels au sein d'une économie ainsi qu'entre l'économie nationale et le reste du monde. <br> <br> La vue par défaut de ce tableau montre la relation entre l'économie totale et le reste du monde pour un pays (ou une zone) à la fois, pour les pays pour lesquels les données sont disponibles. Vous pouvez utiliser les filtres "Secteur institutionnel" et "Secteur institutionnel de contrepartie" pour afficher les relations entre des secteurs spécifiques tels que les sociétés non financières, les sociétés financières, les administrations publiques et les ménages et institutions sans but lucratif au service des ménages (ISBLSM). Pour chaque relation, le tableau présente des ventilations par instrument financier. En sélectionnant un instrument financier spécifique (par exemple, les prêts), il est possible de voir la contrepartie des avoirs et des engagements de l'économie et du reste du monde et des différents secteurs institutionnels. <br> <br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données SNA_TABLE725R. <br> Explorez la page Web des comptes financiers et comptes de patrimoine financier de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/financial-accounts-and-balance-sheets.html">page Web des comptes financiers et comptes de patrimoine financier</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true SECTOR,INSTR_ASSET,MATURITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,COUNTERPART_SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TRANSACTION,FREQ,ADJUSTMENT,CONSOLIDATION,VALUATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=D,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S1,COUNTERPART_SECTOR=S1,INSTR_ASSET=F,DEBT_BREAKDOWN=_Z NOT_DISPLAYED REF_AREA=AUT,SECTOR=S1,COUNTERPART_SECTOR=S2,UNIT_MEASURE=XDC,CURRENCY_DENOM=T,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_W_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,MATURITY;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_FWM?references=dataflow RELATED_DATA Quarterly Financial Balance Sheets (stocks) - counterpart information Comptes de patrimoine financier trimestriels par contrepartie (stocks), non consolidés The Financial Balance Sheets show financial assets, liabilities and net financial worth (assets minus liabilities) at the end of the period. The breakdown of positions by counterpart sector enriches this information by providing insight into the relationships between institutional sectors within an economy as well as between the domestic economy and the rest of the world. <br> <br> This default view of this table shows the relationship between the total economy and the rest of the world for one country (or area) at a time, for those countries for which data is available. You can use the ‘Institutional sector’ and ‘Counterpart institutional sector’ filters to show relationships between specific sectors such as Non-financial Corporations, Financial Corporations, General Government and Households and non-profit institutions service households (NPISH). For each relationship, the table presents breakdowns by financial instrument. By selecting a specific financial instrument (e.g. loans), it is possible to see the counterpart holdings of assets and liabilities of the economy and the rest of the world and of the different institutional sectors. <br> <br> These indicators were presented in the previous dissemination system in the QASA_TABLE725R dataset. <br> Explore also the OECD Financial Accounts and Balance Sheets webpage: <a href="https://www.oecd.org/en/data/datasets/financial-accounts-and-balance-sheets.html">Financial Accounts and Balance Sheets webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les bilans financiers présentent les actifs financiers, les passifs et la valeur financière nette (actifs moins passifs) à la fin de la période. La ventilation des positions par secteur de contrepartie enrichit ces informations en donnant un aperçu des relations entre les secteurs institutionnels au sein d'une économie ainsi qu'entre l'économie nationale et le reste du monde. <br> <br> La vue par défaut de ce tableau montre la relation entre l'économie totale et le reste du monde pour un pays (ou une zone) à la fois, pour les pays pour lesquels les données sont disponibles. Vous pouvez utiliser les filtres "Secteur institutionnel" et "Secteur institutionnel de contrepartie" pour afficher les relations entre des secteurs spécifiques tels que les sociétés non financières, les sociétés financières, les administrations publiques et les ménages et institutions sans but lucratif au service des ménages (ISBLSM). Pour chaque relation, le tableau présente des ventilations par instrument financier. En sélectionnant un instrument financier spécifique (par exemple, les prêts), il est possible de voir la contrepartie des avoirs et des engagements de l'économie et du reste du monde et des différents secteurs institutionnels. <br> <br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données QASA_TABLE725R. <br> Explorez la page Web des comptes financiers et comptes de patrimoine financier de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/financial-accounts-and-balance-sheets.html">page Web des comptes financiers et comptes de patrimoine financier</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,MATURITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION COUNTERPART_AREA,COUNTERPART_SECTOR,TABLE_IDENTIFIER,VALUATION,TRANSACTION,CONSOLIDATION,ADJUSTMENT,TRANSFORMATION,PRICE_BASE,OBS_STATUS=A,CONF_STATUS=F,MATURITY=T,SECTOR=S1,UNIT_MEASURE=XDC+USD,DEBT_BREAKDOWN=_Z NOT_DISPLAYED SECTOR=S1M,REF_AREA=AUS,UNIT_MEASURE=XDC,FREQ=Q,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_HH_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_HH_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:MATURITY,INSTR_ASSET;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments, Maturity;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers, Maturité;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_IIH?references=dataflow RELATED_DATA Households' Financial Assets and Liabilities Actifs financiers et passifs des ménages This table provides a detailed breakdown of the financial assets and liabilities of households and non-profit institutions serving households (NPISH) by financial instrument. On the asset side of the balance sheet, it shows data on households’ and NPISHs’ holdings of investment fund shares, life insurance and annuity entitlements, and pension entitlements; and on the liability side, it shows data on their short- and long-term borrowing (loans). <br> <br> Unless otherwise specified, this table provides non-consolidated data only, meaning that it shows all assets and liabilities of units in the households and NPISH sectors, without removing any counterpart assets or liabilities of units within these sectors. <br> <br> These indicators were presented in the previous dissemination system in the QASA_7HH dataset. <br> Explore also the OECD Financial Accounts and Balance Sheets webpage: <a href="https://www.oecd.org/en/data/datasets/financial-accounts-and-balance-sheets.html">Financial Accounts and Balance Sheets webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente une répartition détaillée, par instrument financier, des actifs et passifs financiers des ménages et des institutions sans but lucratif au service des ménages (ISBLSM). À l’actif du bilan, il présente des données sur les détentions par les ménages et les ISBLSM de parts de fonds d’investissement, des droits sur les assurance-vie et rentes, ainsi que de droits à pension ; et du côté du passif, il présente des données sur leurs emprunts (crédits) à court et à long terme. <br> <br> Sauf indication contraire, ce tableau fournit uniquement des données non consolidées, ce qui signifie qu'il montre tous les actifs et passifs des unités des secteurs des ménages et des ISBLSM, sans supprimer les actifs ou passifs de contrepartie des unités de ces secteurs. <br> <br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données QASA_7HH. <br> Explorez la page Web des comptes financiers et comptes de patrimoine financier de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/financial-accounts-and-balance-sheets.html">page Web des comptes financiers et comptes de patrimoine financier</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,COUNTERPART_AREA,COUNTERPART_SECTOR,MATURITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,ACCOUNTING_ENTRY,COMBINED_UNIT LAYOUT_ROW_SECTION TABLE_IDENTIFIER,VALUATION,TRANSACTION,CONSOLIDATION,ADJUSTMENT,TRANSFORMATION,PRICE_BASE,OBS_STATUS=A,CONF_STATUS=F,MATURITY=T,CURRENCY_DENOM=_T,CURRENCY_DENOM=_Z,MATURITY=T,MATURITY=Z,COUNTERPART_SECTOR=S1,COUNTERPART_AREA=W,UNIT_MEASURE=XDC+USD,INSTR_ASSET=F,DEBT_BREAKDOWN=_Z NOT_DISPLAYED FREQ=Q,SECTOR=S12L,REF_AREA=AUS,UNIT_MEASURE=XDC,FREQ=Q,LASTNPERIODS=5 DEFAULT SECTOR:OECD.SDD.NAD:HCL_SECTOR_II_FA(1.0).H,INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_II_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY;INSTR_COUNTER:INSTR_ASSET,COUNTERPART_AREA,COUNTERPART_SECTOR,MATURITY COMBINED_CONCEPTS COMBINED_UNIT:Combined unit of measure;INSTR_COUNTER:Financial instruments, Maturity COMBINED_UNIT:Unité de mesure combinée;INSTR_COUNTER:Instruments financiers, Maturité 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_FBS.ECO_NAD_FBS_IIH?references=dataflow RELATED_DATA Institutional Investors’ Assets and Liabilities Actifs et passifs des investisseurs institutionnels This table provides a detailed breakdown of the financial assets and liabilities of the three main types of institutional investor: investment funds, insurance corporations and pension funds by financial instrument (currency and deposits; debt securities; loans; equity and investment fund shares; insurance, pension and standardized guarantee schemes; financial derivatives and employee stock options; and other accounts receivable/payable). Net financial worth and non-financial assets of institutional investors (if available) are also reported. <br> <br> You can use the ‘Institutional sector’ filter to select the type of institutional investor, and also to select a further breakdown of investment funds into money market funds (MMFs) and non-MMFs. MMFs typically invest in money market instruments with a residual maturity of less than one year, are often transferable and are often regarded as close substitutes for deposits. Non-MMF investment funds typically invest in longer-term financial assets. You can also use this filter to select open-end investment funds (the sum of MMFs and open-end non-MMFs). <br> <br> Unless otherwise specified, this table provides non-consolidated data only, meaning that it shows all assets and liabilities of units in a sector or subsector (or the economy as a whole), in contrast with consolidated balance sheets in which counterpart assets and liabilities of units within the same sector or subsector (or the economy as a whole) would be removed. <br> <br> These indicators were presented in the previous dissemination system in the QASA_7II dataset. <br> Explore also the OECD Financial Accounts and Balance Sheets webpage: <a href="https://www.oecd.org/en/data/datasets/financial-accounts-and-balance-sheets.html">Financial Accounts and Balance Sheets webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Ce tableau présente une répartition détaillée des actifs et passifs financiers des trois principaux types d'investisseurs institutionnels : fonds d'investissement, sociétés d'assurance et fonds de pension par instrument financier (monnaie et dépôts ; titres de dette ; crédits ; actions et parts de fonds d'investissement ; assurance, régimes de retraite et de garantie standardisés ; produits financiers dérivés et options sur titres des salariés ; et autres comptes à recevoir/à payer). La valeur financière nette et les actifs non financiers des investisseurs institutionnels (si disponibles) sont également déclarés. <br> <br> Vous pouvez utiliser le filtre « Secteur institutionnel » pour sélectionner le type d’investisseur institutionnel, ainsi que pour sélectionner une répartition plus détaillée des fonds d’investissement en fonds d’investissement monétaires et fonds d’investissement non monétaires. Les fonds d’investissement monétaires, généralement dans des instruments du marché monétaire ayant une échéance résiduelle inférieure à un an, sont souvent transférables et sont souvent considérés comme de proches substituts aux dépôts. Les fonds d'investissement non monétaires investissent généralement dans des actifs financiers à plus long terme. Vous pouvez également utiliser ce filtre pour sélectionner des fonds d'investissement à capital variable (la somme des fonds monétaires et des fonds d'investissement à capital variable non monétaires). <br> <br> Sauf indication contraire, ce tableau fournit uniquement des données non consolidées, ce qui signifie qu'il présente tous les actifs et passifs des unités d'un secteur ou d'un sous-secteur (ou de l'économie dans son ensemble), contrairement aux bilans consolidés dans lesquels les actifs et passifs de contrepartie des unités du même secteur ou sous-secteur (ou de l’économie dans son ensemble) seraient supprimées. <br> <br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données QASA_7II. <br> Explorez la page Web des comptes financiers et comptes de patrimoine financier de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/financial-accounts-and-balance-sheets.html">page Web des comptes financiers et comptes de patrimoine financier</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true INSTR_ASSET,CURRENCY_DENOM,MATURITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SECTOR,COMBINED_UNIT LAYOUT_ROW_SECTION COUNTERPART_SECTOR,FREQ,TRANSACTION,ADJUSTMENT,CONSOLIDATION,PRICE_BASE,TRANSFORMATION,OBS_STATUS=A,CONF_STATUS=F,TABLE_IDENTIFIER,COUNTERPART_AREA=W,CURRENCY_DENOM=_T,MATURITY=T,UNIT_MEASURE=XDC+USD,SECTOR=S1ZS,UNIT_MULT=0,CURRENCY=_Z,INSTR_ASSET=FD4R NOT_DISPLAYED SECTOR=S13,UNIT_MEASURE=XDC,MATURITY=T,REF_AREA=AUT,LASTNPERIODS=5 DEFAULT INSTR_ASSET:OECD.SDD.NAD:HCL_INSTR_ASSET_PSD_FA(1.0).H,MATURITY:OECD.SDD.NAD:HCL_MATURITY_FA(1.0).H,CURRENCY_DENOM:OECD.SDD.NAD:HCL_CURRENCY_PSD_FA(1.0).H,SECTOR:OECD.SDD.NAD:HCL_SECTOR_PSD_FA(1.0).H,VALUATION:OECD.SDD.NAD:HCL_VALUATION_PSD_FA(1.0).H,UNIT_MEASURE:OECD.SDD.NAD:HCL_UNIT_MEASURE_FA(1.0).H HIER_CONTEXT INSTR_MATU:INSTR_ASSET,CURRENCY_DENOM,MATURITY;COMBINED_UNIT:UNIT_MULT,UNIT_MEASURE,CURRENCY COMBINED_CONCEPTS INSTR_MATU:Financial instruments;COMBINED_UNIT:Combined unit of measure INSTR_MATU:Instruments financiers;COMBINED_UNIT:Unité de mesure combinée; 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_GFD.ECO_NAD_GFD_PSD?references=dataflow RELATED_DATA Quarterly Public Sector Debt, consolidated Dette trimestrielle du secteur public, consolidée Data on Public Sector Debt is for the whole of the public sector which includes financial and non-financial public corporations as well as General Government. The table presents estimates of gross debt broken down by financial instrument (such as debt securities, loans and insurance, pensions and standardized guarantees), by whether the debt is denominated in domestic or foreign currency and by the residence of the creditor. You can also choose breakdowns by maturity using the ‘Original and residual maturity’ filter. <br> <br> Unless otherwise specified, data is consolidated within sectors and across sectors (meaning that all reciprocal stock positions and flows between units belonging to the same sector and between subsectors of the public sector are eliminated); and results are in nominal values, by contrast with the General Government financial balance sheets which are in market values. <br> <br> These indicators were presented in the previous dissemination system in the QASA_TABLE7PSD dataset. <br> Explore also the OECD Government Finances and Public Sector Debt webpage: <a href="https://www.oecd.org/en/data/datasets/government-finances-and-public-sector-debt.html">Government Finances and Public Sector Debt webpage</a> <br>OECD statistics contact: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> Les données sur la dette du secteur public concernent l'ensemble du secteur public, qui comprend les sociétés publiques financières et non financières ainsi que les administrations publiques. Le tableau présente les estimations de la dette brute ventilée par instrument financier (tels que les titres de dette, les crédits et assurances, les pensions et les régimes de garanties standardisées), selon que la dette est libellée en monnaie nationale ou étrangère et selon la résidence du créancier. Vous pouvez également choisir une répartition par échéance grâce au filtre « Échéance initiale et résiduelle ». <br> <br> Sauf indication contraire, les données sont consolidées au sein des secteurs et entre secteurs (ce qui signifie que toutes les positions de stock et flux réciproques entre les unités appartenant au même secteur et entre les sous-secteurs du secteur public sont éliminés) ; et les résultats sont en valeurs nominales, contrairement aux bilans financiers des administrations publiques qui sont en valeurs de marché. <br> <br> Ces indicateurs ont été présentés dans le système de diffusion précédent dans l'ensemble de données QASA_TABLE7PSD. <br> Explorez la page Web des finances publiques et de la dette du secteur public de l'OCDE : <a href="https://www.oecd.org/fr/donnees/datasets/government-finances-and-public-sector-debt.html">page Web des finances publiques et de la dette du secteur public</a> <br>Contact statistique OCDE: <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSACTION,UNIT_MEASURE,ACTIVITY,PRODUCT LAYOUT_ROW_SECTION PRICES_BASE,OBS_STATUS=A,CONF_STATUS=F,FREQ,SECTOR NOT_DISPLAYED ACTIVITY=_T,PRODUCT=CPA08_A,TIME_PERIOD_START=2015,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_IND?references=dataflow RELATED_DATA 0.4 SEARCH_WEIGHT SUT Indicators (for 'Developer API') TRE Indicateurs ('API pour développeur') This dataset provides the whole set of OECD SUT indicators and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. <br /><br />The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. <br /><br />To get started check the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a>. For any question <a href="https://www.oecd.org/contact/">contact us</a><br /><br />The mapping table between old OECD.Stat and new OECD Data Explorer codes is available <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932">here</a>. Cet ensemble de données fournit la totalité des indicateurs TRE de l'OCDE et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus. <br /><br />L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche. <br /><br />Veuillez consulter la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation API (en anglais seulement)</a>. Pour toute question <a href="https://www.oecd.org/fr/contact/">contactez-nous</a>.<br /><br />Le tableau de correspondance entre les anciens codes de OECD.Stat et les nouveaux codes de OECD Data Explorer est disponible <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932">ici</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSACTION,UNIT_MEASURE,ACTIVITY,PRODUCT LAYOUT_ROW_SECTION TABLE_IDENTIFIER,PRICE_BASE,COUNTERPART_AREA,ACCOUNTING_ENTRY,OBS_STATUS=A,CONF_STATUS=F,FREQ,SECTOR,VALUATION,UNIT_MULT,CURRENCY NOT_DISPLAYED TRANSACTION=D21X31,ACTIVITY=_T,PRODUCT=CPA08_A,TIME_PERIOD_START=2015,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_IND?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Taxes less subsidies on products as a share of final consumption expenditure by households TRE Impôts moins subventions sur les produits en pourcentage de la consommation finale des ménages Taxes (subsidies) on products are payable (received) based on the quantity or the value of the goods and services. The main component of taxes on products is the value added tax (VAT). The indicator is for that part of taxes less subsidies on products that relates to household final consumption.For each product, the indicator is calculated as <b>Taxes less subsidies of the product related to final consumption expenditure by households / Total final consumption expenditure by households at purchasers ‘prices of the same product</b>.<br /><br />This indicator is calculated by the OECD from the taxes less subsidies on products matrix and the Use table at purchasers’ prices reported to the OECD by countries in their answers to Supply and Use questionnaire.<br /><br />The dataset corresponds to SNA_TABLE45 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Les impôts (subventions) sur les produits sont payables (recevables) en fonction de la quantité ou la valeur des biens et services. La composante principale des impôts sur les produits est la taxe sur la valeur ajoutée (TVA). L'indicateur concerne la partie des impôts moins subventions qui se rapporte à la consommation finale des ménages. Pour chaque produit l’indicateur est calculé de la manière suivante : <b>Impôts moins subventions sur le produit liés à la consommation finale des ménages / Total de la consommation finale des ménages aux prix d’acquisition du même produit.</b><br /><br />Cet indicateur est calculé par l’OCDE à partir de la matrice des impôts moins subventions sur les produits et du tableau des emplois aux prix d’acquisition fournis à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE45 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSACTION,UNIT_MEASURE,ACTIVITY,PRODUCT LAYOUT_ROW_SECTION TABLE_IDENTIFIER,PRICE_BASE,COUNTERPART_AREA,ACCOUNTING_ENTRY,OBS_STATUS=A,CONF_STATUS=F,FREQ,SECTOR,VALUATION,UNIT_MULT,CURRENCY NOT_DISPLAYED TRANSACTION=OTTM,ACTIVITY=_T,PRODUCT=CPA08_A,TIME_PERIOD_START=2015,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_IND?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Trade and transport margins as a share of final consumption expenditure by households TRE Marges commerciales et de transport en pourcentage de la consommation finale des ménages Trade margins refer to the difference in price realized by a wholesaler or retailer when reselling a good compared with the price to replace the good; transport margins are transportation charges explicitly invoiced for the delivery. The indicator is for that part of trade and transport margins that relates to household final consumption. For each product, the indicator is calculated as <b>Trade and transport margins of the product related to final consumption expenditure by households / Total final consumption expenditure by households at purchasers’ prices of the same product</b>.<br /><br />This indicator is calculated by the OECD from the trade and transport margins matrix and the Use table at purchasers’ prices reported to the OECD by countries in their answers to Supply and Use questionnaire.<br /><br />The dataset corresponds to SNA_TABLE45 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Les marges commerciales sont la différence de prix réalisée par un grossiste ou un détaillant lors de la revente d'un bien par rapport au prix de remplacement du bien ; les marges de transport sont les frais de transport explicitement facturés pour la livraison. L'indicateur concerne la partie des marges de commerce et de transport qui se rapporte à la consommation finale des ménages. Pour chaque produit l’indicateur est calculé de la manière suivante : <b>Marges commerciales et de transports du produit liées à la consommation finale des ménages / Total de la consommation finale des ménages aux prix d’acquisition du même produit.</b><br /><br />Cet indicateur est calculé par l’OCDE à partir de la matrice des marges commerciales et de transports et du tableau des emplois aux prix d’acquisition fournis à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE45 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSACTION,UNIT_MEASURE,ACTIVITY,PRODUCT LAYOUT_ROW_SECTION TABLE_IDENTIFIER,PRICE_BASE,COUNTERPART_AREA,ACCOUNTING_ENTRY,OBS_STATUS=A,CONF_STATUS=F,FREQ,SECTOR,VALUATION,UNIT_MULT,CURRENCY NOT_DISPLAYED TRANSACTION=OTTM,ACTIVITY=_T,PRODUCT=CPA08_A,TIME_PERIOD_START=2015,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_IND?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Trade and transport margins as a share of total supply at purchasers' prices TRE Marges commerciales et de transport en pourcentage du total des ressources aux prix d'acquisition Trade margins are the difference in price realized by a wholesaler or retailer when reselling a good compared with the price to replace the good; transport margins are transportation charges explicitly invoiced. Total supply refers to the sum of output produced in the territory and imports of all goods and services in the economy, which is broken down by type of product. Purchasers’ prices refer to the prices paid by the buyer. For each product, the indicator is calculated as <b>Trade and transport margins of the product / Total supply at purchasers’ prices of the same product </b>.<br /><br />This indicator is calculated by the OECD from the Supply table reported to the OECD by countries in their answers to Supply and Use questionnaire.<br /><br />The dataset corresponds to SNA_TABLE45 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Les marges commerciales sont la différence de prix réalisée par un grossiste ou un détaillant lors de la revente d'un bien par rapport au prix de remplacement du bien ; les marges de transport sont les frais de transport explicitement facturés pour la livraison. Le total des revenus correspond à la somme de la production sur le territoire et des importations de biens et de services, décomposé par produits. Le prix acquisition correspond au prix payé par l'acheteur. Pour chaque produit, l’indicateur est calculé de la manière suivante : <b>Marges commerciales et de transports du produit / total des ressources aux prix d’acquisition du même produit.</b><br /><br />Cet indicateur est calculé par l’OCDE à partir du tableau des ressources fourni à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE45 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSACTION,UNIT_MEASURE,ACTIVITY,PRODUCT LAYOUT_ROW_SECTION TABLE_IDENTIFIER,PRICE_BASE,COUNTERPART_AREA,ACCOUNTING_ENTRY,OBS_STATUS=A,CONF_STATUS=F,FREQ,SECTOR,VALUATION,UNIT_MULT,CURRENCY NOT_DISPLAYED TRANSACTION=P2,ACTIVITY=_T,PRODUCT=CPA08_A,TIME_PERIOD_START=2015,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_IND?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Intermediate consumption - share of products used by activity at basic prices TRE Consommation intermédiaire - part des produits utilisés par activité aux prix de base Intermediate consumption relates to use of a product as input into a production process. This indicator shows the proportion of goods and services required by each economic activity for its production process. For each product and each economic activity, it is calculated as <b>Intermediate consumption at basic prices of a product by an economic activity / Total intermediate consumption at basic prices of the same economic activity </b>.<br /><br />This indicator is calculated by the OECD from the Use table at basic prices reported to the OECD by countries in their answers to Supply and Use questionnaire.<br /><br />The dataset corresponds to SNA_TABLE45 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> La consommation intermédiaire correspond à l’utilisation d'un produit comme intrant dans un processus de production. Cet indicateur montre la proportion de biens et de services utilisés par chaque activité dans son processus de production.Pour chaque produit et chaque activité économique l’indicateur est calculé de la manière suivante : <b>Consommation intermédiaire aux prix de base d’un produit et d’une activité économique / Consommation intermédiaire totale aux prix de base de cette activité.</b><br /><br />Cet indicateur est calculé par l’OCDE à partir du tableau des emplois aux prix de base fourni à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE45 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSACTION,UNIT_MEASURE,ACTIVITY,PRODUCT LAYOUT_ROW_SECTION TABLE_IDENTIFIER,PRICE_BASE,COUNTERPART_AREA,ACCOUNTING_ENTRY,OBS_STATUS=A,CONF_STATUS=F,FREQ,SECTOR,VALUATION,UNIT_MULT,CURRENCY NOT_DISPLAYED TRANSACTION=P2,ACTIVITY=_T,PRODUCT=CPA08_A,TIME_PERIOD_START=2015,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_IND?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Share of imported products in intermediate consumption at basic prices TRE Part des produits importés dans la consommation intermediaire aux prix de base Intermediate consumption relates to the use of a product as input into a production process. This indicator highlights the dependency on imports of the intermediate consumption for each product and each industry. For each product and each economic activity, the indicator is calculated as <b>Import of the product used for intermediate consumption of the activity / intermediate consumption at basic prices of the same product and economic activity </b>.<br /><br />This indicator is calculated by the OECD from the Import Use table at basic prices and the Use table at basic prices reported to the OECD by countries in their answers to Supply and Use questionnaire.<br /><br />The dataset corresponds to SNA_TABLE45 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> La consommation intermédiaire correspond à l’utilisation d'un produit comme intrant dans un processus de production. Cet indicateur met en évidence la dépendance à l'égard des importations de la consommation intermédiaire pour chaque produit et chaque industrie.Pour chaque produit et chaque activité économique l’indicateur est calculé de la manière suivante : <b>Importation du produit utilisé dans la consommation intermédiaire de l’activité / Consommation intermédiaire aux prix de base de ce produit et de cette activité.</b><br /><br />Cet indicateur est calculé par l’OCDE à partir du tableau des emplois des importations et du tableau des emplois aux prix de base fournis à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE45 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSACTION,UNIT_MEASURE,ACTIVITY,PRODUCT LAYOUT_ROW_SECTION TABLE_IDENTIFIER,PRICE_BASE,COUNTERPART_AREA,ACCOUNTING_ENTRY,OBS_STATUS=A,CONF_STATUS=F,FREQ,SECTOR,VALUATION,UNIT_MULT,CURRENCY NOT_DISPLAYED TRANSACTION=P3S14DC,ACTIVITY=_T,PRODUCT=CPA08_A,TIME_PERIOD_START=2015,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_IND?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Share of imported products in final consumption of households at basic prices TRE Part des produits importés dans la consommation finale des ménages aux prix de base This indicator highlights the dependency on imports of the final consumption of households for each product. For each product, the indicator is calculated as <b>Import of the product used for final consumption expenditure by households / final consumption expenditure by households at basic prices of the same product</b>.<br /><br />This indicator is calculated by the OECD from the Import Use table at basic prices and the Use table at basic prices reported to the OECD by countries in their answers to Supply and Use questionnaire.<br /><br />The dataset corresponds to SNA_TABLE45 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Cet indicateur met en évidence la dépendance à l'égard des importations de la consommation finale des ménages pour chaque produit.<br /><br />Cet indicateur est calculé par l’OCDE à partir du tableau des ressources fourni à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.Pour chaque produit l’indicateur est calculé de la manière suivante : <b>Importations du produit utilisé dans la consommation finale des ménages / consommation finale des ménages aux prix de base de ce produit.</b><br /><br />Cet indicateur est calculé par l’OCDE à partir du tableau des emplois des importations et du tableau des emplois aux prix de base fournis à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE45 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSACTION,UNIT_MEASURE,ACTIVITY,PRODUCT LAYOUT_ROW_SECTION TABLE_IDENTIFIER,PRICE_BASE,COUNTERPART_AREA,ACCOUNTING_ENTRY,OBS_STATUS=A,CONF_STATUS=F,FREQ,SECTOR,VALUATION,UNIT_MULT,CURRENCY NOT_DISPLAYED TRANSACTION=P51G,ACTIVITY=_T,PRODUCT=CPA08_A,TIME_PERIOD_START=2015,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_IND?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Share of imported products in GFCF at basic prices TRE Part des produits importés dans la FBCF aux prix de base Gross fixed capital formation or GFCF (also called investment) refers to acquisitions less disposals of fixed assets. Therefore, this indicator can have a negative value, in particular for use of domestic output, so the share of imported products in GFCF can be higher than 100 %. This indicator highlights the dependency on imports of GFCF for each product. For each product, the indicator is calculated as <b>Import of the product used for final consumption expenditure by households / final consumption expenditure by households at basic prices of the same product</b>.<br /><br />This indicator is calculated by the OECD from the Import Use table at basic prices and the Use table at basic prices reported to the OECD by countries in their answers to Supply and Use questionnaire.<br /><br />The dataset corresponds to SNA_TABLE45 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> La formation brute de capital fixe (également appelée investissement) correspond aux acquisitions moins cessions d'actifs fixes. Elle peut donc avoir une valeur négative, en particulier pour la production intérieure. La part des produits importés dans la FBCF peut être donc supérieure à 100 %. Cet indicateur met en évidence la dépendance à l'égard des importations de la FBCF pour chaque produit. Pour chaque produit l’indicateur est calculé de la manière suivante : <b>Importations du produit utilisé dans la formation brute de capital fixe / Formation brute de capital fixe aux prix de base de ce produit.</b><br /><br />Cet indicateur est calculé par l’OCDE à partir du tableau des emplois des importations et du tableau des emplois aux prix de base fournis à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE45 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSACTION,UNIT_MEASURE,ACTIVITY,PRODUCT LAYOUT_ROW_SECTION TABLE_IDENTIFIER,PRICE_BASE,COUNTERPART_AREA,ACCOUNTING_ENTRY,OBS_STATUS=A,CONF_STATUS=F,FREQ,SECTOR,VALUATION,UNIT_MULT,CURRENCY NOT_DISPLAYED TRANSACTION=P6,ACTIVITY=_T,PRODUCT=CPA08_A,TIME_PERIOD_START=2015,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_IND?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Share of imported products in exports at basic prices TRE Part des produits importés dans les exportations aux prix de base This indicator highlights the importance of re-exports for each product. For each product, the indicator is calculated as <b>Import of the product used for Exports / Exports at basic prices of the same product</b>.<br />This indicator is calculated by the OECD from the Import Use table at basic prices and the Use table at basic prices reported to the OECD by countries in their answers to Supply and Use questionnaire.<br /><br />The dataset corresponds to SNA_TABLE45 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Cet indicateur met en évidence l’importance des réexportations pour chaque produit.Pour chaque produit l’indicateur est calculé de la manière suivante : <b>Importations du produit utilisé dans les exportations / Exportations aux prix de base de ce produit.</b><br /><br />Cet indicateur est calculé par l’OCDE à partir du tableau des emplois des importations et du tableau des emplois aux prix de base fournis à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE45 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TRANSACTION,UNIT_MEASURE,ACTIVITY,PRODUCT LAYOUT_ROW_SECTION TABLE_IDENTIFIER,PRICE_BASE,COUNTERPART_AREA,ACCOUNTING_ENTRY,OBS_STATUS=A,CONF_STATUS=F,FREQ,SECTOR,VALUATION,UNIT_MULT,CURRENCY NOT_DISPLAYED TRANSACTION=P7,ACTIVITY=_T,PRODUCT=CPA08_A,TIME_PERIOD_START=2015,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_IND?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Imports as a share of total supply at purchasers' prices TRE Importations en pourcentage du total des ressources aux prix d'acquisition Total supply refers to the sum of output produced in the territory and imports of all goods and services in the economy, which is broken down by type of product. Purchasers’ prices refer to the prices paid by the buyer. For each product, the indicator is calculated as: <b>Imports of the product / Total supply at purchasers’ prices of the same product.</b><br /><br />This indicator is calculated by the OECD from the Supply table reported to the OECD by countries in their answers to the Supply and Use questionnaire.<br /><br />The dataset corresponds to SNA_TABLE45 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Le total des ressources correspond à la somme de la production sur le territoire et des importations de biens et de services, décomposé par produits. Le prix acquisition correspond au prix payé par l'acheteur. Pour chaque produit, l’indicateur est calculé de la manière suivante :<b> Importations du produit / total des ressources aux prix d’acquisition du même produit.</b><br /><br />Cet indicateur est calculé par l’OCDE à partir du tableau des ressources fourni à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE45 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a098490b-79c4-4b8b-a533-126c711f7932"><b>SUT_INDICATOR_Codes_mapping</b></a><br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true VALUATION,TRANSACTION LAYOUT_ROW ACTIVITY LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION TABLE_IDENTIFIER,PRODUCT=_T,OBS_STATUS=A,CONF_STATUS=F,FREQ,UNIT_MEASURE,SECTOR,ACCOUNTING_ENTRY,COUNTERPART_AREA NOT_DISPLAYED REF_AREA=AUT,ACTIVITY=_Z+_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_X,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,VALUATION DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_2_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_SUT?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Supply by type of production TRE Ressources par type de production This dataset describes the breakdown of output of the economy at basic prices (the price received by the producer) into market output, output for own final use (goods or services produced and kept for its own final consumption or investment) and non-market output (goods or services provided free of charge or at prices that are economically insignificant), by activity at the 2-digit level of the International Standard Industrial Classification of All Economic Activities ISIC Rev 4 level (containing 89 industries).<br /><br />The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire.<br /><br />Information about data availability is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />The dataset corresponds to SNA_TABLE31 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1f72ab08-6566-4ec8-9a77-82db3cf3ecdf"><b>SUT_SUPPLYP1_Codes_mapping</b></a><br />Historical data for Korea from 2015 to 2019 is available <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=38d55f25-2f8a-48f9-b076-f35ae6e7977c"><b>here</b></a><br /><br />The file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce2200e9-fc70-4b11-877f-2a00c6d4e530"><b>SUT_Tips</b></a> contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system.<br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Cet ensemble de données décrit la ventilation de la production de l'économie aux prix de base (le prix reçu par le producteur) en production marchande, production pour usage final propre (biens ou services produits et conservés pour la consommation finale propre ou l'investissement) et production non marchande (biens ou services fournis gratuitement ou à des prix économiquement non significatifs), par activité au niveau à deux chiffres de la classification internationale type, par industrie (CITI) Rév. 4 (contenant 89 industries).<br /><br />Cet ensemble de données a été préparé à l’aide de l’information statistique fournie à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Vous trouverez la liste des données disponibles dans le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE31 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1f72ab08-6566-4ec8-9a77-82db3cf3ecdf"><b>SUT_SUPPLYP1_Codes_mapping</b></a><br />Les données historiques pour la Corée de 2015 À 2019 sont disponibles <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=38d55f25-2f8a-48f9-b076-f35ae6e7977c"><b>ici</b></a><br /><br />Le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68f71e93-b2fa-4932-8e2e-9b00f09588ab"><b>TRE_Astuces</b></a> contient des suggestions supplémentaires sur la façon de naviguer et d'utiliser les différents tableaux des ressources et des emplois (TRE) dans le nouveau système de diffusion.<br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true PRODUCT LAYOUT_ROW VALUATION,TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION TABLE_IDENTIFIER,OBS_STATUS=A,CONF_STATUS=F,FREQ,UNIT_MEASURE,SECTOR,ACCOUNTING_ENTRY NOT_DISPLAYED REF_AREA=AUT,PRODUCT=_Z+_T+CPA08_A+CPA08_B+CPA08_C+CPA08_D+CPA08_E+CPA08_F+CPA08_G+CPA08_H+CPA08_I+CPA08_J+CPA08_K+CPA08_L+CPA08_M+CPA08_N+CPA08_O+CPA08_P+CPA08_Q+CPA08_R+CPA08_S+CPA08_T+CPA08_U+_X,ACTIVITY=_Z+_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_X,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_3_SUT(1.0).H,VALUATION:OECD.SDD.NAD:HCL_VALUATION_1_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_SUT?references=dataflow RELATED_DATA SUT Supply TRE Ressources This dataset describes the supply of goods and services in the economy by product and by type of supply, distinguishing between whether the products supplied are produced domestically or imported. It presents the Supply table at basic prices (the price received by the producer or, for imports, the value at the border) and purchasers’ prices (the price paid by the buyer).<br /><br />The Supply table is organized in a matrix format:<br />The <b>columns</b> provide information about the suppliers. They consist of: output by economic activity (at the 2-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Rev 4, containing 89 industries); imports of goods and services valued on a cif basis; cost insurance freight (cif) basis; cif/fob (free on board) adjustment; direct purchases abroad by residents; trade and transport margins (broken down between trade margins and transports margins); taxes less subsidies on products (broken down between taxes on products and subsidies on products).<br />The <b>rows</b> provide a breakdown by product (using the comparable European Classification of Products by Activities (CPA) breakdown).<br /><br />The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire.<br /><br />Information about data availability is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />The dataset corresponds to SNA_TABLE30 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=89f334d5-adb7-465f-b4b7-88158731966b"><b>SUT_SUPPLY_Codes_mapping</b></a><br />Historical data for Korea from 2015 to 2019 is available <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f5e98d74-2e40-46b2-abe0-0cc1b3e5e32b"><b>here</b></a><br /><br />The file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce2200e9-fc70-4b11-877f-2a00c6d4e530"><b>SUT_Tips</b></a> contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system.<br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Cet ensemble de données décrit les ressources en biens et services d’une économie par produits et par type de ressource, en distinguant ceux qui sont produits sur le territoire de ceux qui sont importés. Il montre le tableau des ressources aux prix de base (le prix reçu par le producteur ou, pour les importations, la valeur à la frontière) et aux prix d’acquisition (le prix payé par l'acheteur).<br /><br />Le tableau des ressources se présente sous forme matricielle :<br />Les <b>colonnes</b> donnent des informations sur les fournisseurs. Elles comprennent : la production par activité économique (au niveau à deux chiffres de la classification internationale type, par industrie (CITI) Rev 4, contenant 89 industries) ; les importations de biens et services évaluées sur une base caf (coût assurance fret) ; l'ajustement caf/fab (franco à bord) ; les achats directs à l'étranger par les résidents ; les marges commerciales et de transport (ventilées entre les marges commerciales et les marges de transport) ; les impôts moins les subventions sur les produits (ventilés entre les impôts sur les produits et les subventions sur les produits).<br />Les <b>lignes</b> fournissent une ventilation par produit, en utilisant la ventilation comparable de la classification statistique des produits associée aux activités (CPA) européenne.<br /><br />Cet ensemble de données a été préparé à l’aide de l’information statistique fournie à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois. <br /><br />Vous trouverez la liste des données disponibles dans le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE30 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=89f334d5-adb7-465f-b4b7-88158731966b"><b>SUT_SUPPLY_Codes_mapping</b></a><br />Les données historiques pour la Corée de 2015 À 2019 sont disponibles <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f5e98d74-2e40-46b2-abe0-0cc1b3e5e32b"><b>ici</b></a><br /><br />Le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68f71e93-b2fa-4932-8e2e-9b00f09588ab"><b>TRE_Astuces</b></a> contient des suggestions supplémentaires sur la façon de naviguer et d'utiliser les différents tableaux des ressources et des emplois (TRE) dans le nouveau système de diffusion.<br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true PRODUCT LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA,VALUATION,TIME_PERIOD LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,FREQ,ACCOUNTING_ENTRY,UNIT_MEASURE,SECTOR NOT_DISPLAYED TABLE_IDENTIFIER=T1610,REF_AREA=AUT,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_SUT(1.0).H,VALUATION:OECD.SDD.NAD:HCL_VALUATION_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_SUT?references=dataflow RELATED_DATA 0.4 SEARCH_WEIGHT SUT Use at basic prices (for 'Developer API') TRE Emplois aux prix de base ('API pour développeur') This dataset provides the whole set of OECD SUT Use at basic prices and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. <br /><br />The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. <br /><br />To get started check the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a>. For any question <a href="https://www.oecd.org/contact/">contact us</a><br><br>The mapping table between old OECD.Stat and new OECD Data Explorer codes is available <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=13f61370-170e-4658-9648-dd1684396ed9">here</a><br />Historical data for Korea from 2015 to 2019 is available <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=afecaa38-a7d3-4e13-ac91-5f8c2cb78fe3"><b>here</b></a> Cet ensemble de données fournit la totalité des TRE Emplois aux prix de base de l'OCDE et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus. <br /><br />L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche. <br /><br />Veuillez consulter la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation API (en anglais seulement)</a>. Pour toute question <a href="https://www.oecd.org/fr/contact/">contactez-nous</a>.<br /><br />Le tableau de correspondance entre les anciens codes de OECD.Stat et les nouveaux codes de OECD Data Explorer est disponible <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=13f61370-170e-4658-9648-dd1684396ed9">ici</a><br />Les données historiques pour la Corée de 2015 À 2019 sont disponibles <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=afecaa38-a7d3-4e13-ac91-5f8c2cb78fe3"><b>ici</b></a> NonProductionDataflow true VALUATION,PRODUCT LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION TABLE_IDENTIFIER,OBS_STATUS=A,ACCOUNTING_ENTRY,CONF_STATUS=F,FREQ,UNIT_MEASURE,SECTOR NOT_DISPLAYED REF_AREA=AUT,ACTIVITY=_Z+_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_X,PRODUCT=_Z+_T+CPA08_A+CPA08_B+CPA08_C+CPA08_D+CPA08_E+CPA08_F+CPA08_G+CPA08_H+CPA08_I+CPA08_J+CPA08_K+CPA08_L+CPA08_M+CPA08_N+CPA08_O+CPA08_P+CPA08_Q+CPA08_R+CPA08_S+CPA08_T+CPA08_U+_X,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_SUT(1.0).H,VALUATION:OECD.SDD.NAD:HCL_VALUATION_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_SUT?references=dataflow RELATED_DATA SUT Use at basic prices TRE Emplois aux prix de base This dataset describes the use of goods and services in the economy by product and by type of use, distinguishing between intermediate consumption (use of a product as input into a production process) and various categories of final demand such as consumption, investment and exports. It presents the Use table at basic prices (the price received by the producer or for imports, the value at the border).<br /><br />The Use table is organized in a matrix format:<br />The <b>columns</b> provide information about the type of use and consist of intermediate consumption by economic activity (at the 2-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Rev 4, containing 89 industries); final consumption expenditure of households, general government and non-profit institutions serving households; investment or gross capital formation (broken down between gross fixed capital formation, changes in inventories, acquisitions less disposals of valuables); and exports, of which re-exports.<br />The <b>rows</b> provide a breakdown by product (using the comparable European breakdown Classification of Products by Activities (CPA) breakdown).<br />This dataset does not contain the value added block. This is presented separately in the dataset “SUT Use, Value added and its components by activity”.<br /><br />The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire.<br /><br />Information about data availability is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />The dataset corresponds to SNA_TABLE43 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=13f61370-170e-4658-9648-dd1684396ed9"><b>SUT_USEBP_Codes_mapping</b></a><br />The file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce2200e9-fc70-4b11-877f-2a00c6d4e530"><b>SUT_Tips</b></a> contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system.<br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Cet ensemble de données décrit les emplois des biens et services dans l'économie par produit et par type d'utilisation, en distinguant la consommation intermédiaire (utilisation d'un produit comme intrant dans un processus de production) et les différentes catégories de demande finale telles que la consommation, l'investissement et les exportations. Il présente le tableau des emplois aux prix d'acquisition (prix payé par l'acheteur).<br /><br />Le tableau des emplois se présente sous forme matricielle : <br />Les <b>colonnes</b> fournissent des informations sur le type d'utilisation et se composent de la consommation intermédiaire par activité économique (au niveau à deux chiffres de la classification internationale type, par industrie (CITI) Rev 4, contenant 89 industries) ; des dépenses de consommation finale des ménages, des administrations publiques et des institutions sans but lucratif au service des ménages (ISBLM) ; de la formation brute de capital (ventilée entre la formation brute de capital fixe, la variation des stocks, les acquisitions moins les cessions d'objets de valeur) ; et des exportations, dont les réexportations.<br />Les <b>lignes</b> fournissent une ventilation par produit, en utilisant la ventilation comparable de la classification statistique des produits associée aux activités (CPA) européenne.<br />Cet ensemble de données ne contient pas le bloc de la valeur ajoutée. Celui-ci est présenté séparément dans la partie "TRE Emplois, valeur ajoutée et ses composantes par activité".<br /><br />Cet ensemble de données a été préparé à l’aide de l’information statistique fournie à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois. <br /><br />Vous trouverez la liste des données disponibles dans le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE43 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=13f61370-170e-4658-9648-dd1684396ed9"><b>SUT_USEBP_Codes_mapping</b></a><br />Le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68f71e93-b2fa-4932-8e2e-9b00f09588ab"><b>TRE_Astuces</b></a> contient des suggestions supplémentaires sur la façon de naviguer et d'utiliser les différents tableaux des ressources et des emplois (TRE) dans le nouveau système de diffusion.<br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true PRODUCT LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA,VALUATION,TIME_PERIOD LAYOUT_ROW_SECTION TABLE_IDENTIFIER,OBS_STATUS=A,ACCOUNTING_ENTRY,CONF_STATUS=F,FREQ,UNIT_MEASURE,SECTOR NOT_DISPLAYED REF_AREA=AUT,ACTIVITY=_Z+_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_X,PRODUCT=_Z+_T+CPA08_A+CPA08_B+CPA08_C+CPA08_D+CPA08_E+CPA08_F+CPA08_G+CPA08_H+CPA08_I+CPA08_J+CPA08_K+CPA08_L+CPA08_M+CPA08_N+CPA08_O+CPA08_P+CPA08_Q+CPA08_R+CPA08_S+CPA08_T+CPA08_U+_X,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_SUT(1.0).H,VALUATION:OECD.SDD.NAD:HCL_VALUATION_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_SUT?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Domestic Use at basic prices TRE Emplois aux prix de base - production intérieure The Use table at basic prices can be split into a Domestic Use table and an Import Use table (also called imports matrix). This dataset describes the use of domestically produced goods and services in the economy by product and by type of use, distinguishing between intermediate consumption (use of a product as input into a production process) and various categories of final demand such as consumption, investment and exports.<br /><br />The Domestic Use table is organized in a matrix format:<br />The <b>columns</b> provide information about the type of use and consist of intermediate consumption by economic activity (at the 2-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Rev 4, containing 89 industries); final consumption expenditure of households, general government and non-profit institutions serving households; investment or gross capital formation (broken down between gross fixed capital formation, changes in inventories, acquisitions less disposals of valuables); and exports.<br />The <b>rows</b> provide a breakdown by product (using the comparable European breakdown Classification of Products by Activities (CPA) breakdown).<br /><br />The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire.<br /><br />Information about data availability is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />The dataset corresponds to SNA_TABLE43 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=13f61370-170e-4658-9648-dd1684396ed9"><b>SUT_USEBP_Codes_mapping</b></a><br />The file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce2200e9-fc70-4b11-877f-2a00c6d4e530"><b>SUT_Tips</b></a> contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system.<br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Le tableau des emplois aux prix de base peut se décomposer entre le tableau des emplois de la production intérieure et celui des importations (ce tableau est également appelé matrice des importations). Cet ensemble de données décrit l’utilisation des biens et des services produits sur le territoire par produit et par type d'utilisation, en distinguant la consommation intermédiaire (utilisation d'un produit comme intrant dans un processus de production) et les différentes catégories de demande finale telles que la consommation, l'investissement et les exportations.<br /><br />Le tableau des emplois de la production intérieure se présente sous forme matricielle :<br />Les <b>colonnes</b> fournissent des informations sur le type d'utilisation et se composent de la consommation intermédiaire par activité économique (au niveau à deux chiffres de la classification internationale type, par industrie (CITI) Rev 4, contenant 89 industries) ; des dépenses de consommation finale des ménages, des administrations publiques et des institutions sans but lucratif au service des ménages (ISBLM) ; de la formation brute de capital (ventilée entre la formation brute de capital fixe, la variation des stocks, les acquisitions moins les cessions d'objets de valeur) ; et des exportations.<br />Les <b>lignes</b> fournissent une ventilation par produit, en utilisant la ventilation comparable de la classification statistique des produits associée aux activités (CPA) européenne.<br />Cet ensemble de données a été préparé à l’aide de l’information statistique fournie à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Vous trouverez la liste des données disponibles dans le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE43 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=13f61370-170e-4658-9648-dd1684396ed9"><b>SUT_USEBP_Codes_mapping</b></a><br />Le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68f71e93-b2fa-4932-8e2e-9b00f09588ab"><b>TRE_Astuces</b></a> contient des suggestions supplémentaires sur la façon de naviguer et d'utiliser les différents tableaux des ressources et des emplois (TRE) dans le nouveau système de diffusion.<br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true PRODUCT LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA,VALUATION,TIME_PERIOD LAYOUT_ROW_SECTION TABLE_IDENTIFIER,OBS_STATUS=A,ACCOUNTING_ENTRY,CONF_STATUS=F,FREQ,UNIT_MEASURE,SECTOR NOT_DISPLAYED REF_AREA=AUT,ACTIVITY=_Z+_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_X,PRODUCT=_Z+_T+CPA08_A+CPA08_B+CPA08_C+CPA08_D+CPA08_E+CPA08_F+CPA08_G+CPA08_H+CPA08_I+CPA08_J+CPA08_K+CPA08_L+CPA08_M+CPA08_N+CPA08_O+CPA08_P+CPA08_Q+CPA08_R+CPA08_S+CPA08_T+CPA08_U+_X,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_SUT(1.0).H,VALUATION:OECD.SDD.NAD:HCL_VALUATION_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_SUT?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Import Use at basic prices TRE Emplois aux prix de base - importations The Use table at basic prices can be split into a Domestic Use table and an Import Use table (also called imports matrix). This dataset describes the use of imported goods and services in the economy by product and by type of use, distinguishing between intermediate consumption (use of a product as input into a production process) and various categories of final demand such as consumption, investment and exports.<br /><br />The Import Use table is organized in a matrix format:<br />The <b>columns</b> provide information about the type of use and consist of intermediate consumption by economic activity (at the 2-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Rev 4, containing 89 industries); final consumption expenditure of households, general government and non-profit institutions serving households; investment or gross capital formation (broken down between gross fixed capital formation, changes in inventories, acquisitions less disposals of valuables); and exports.<br />The <b>rows</b> provide a breakdown by product (using the comparable European breakdown Classification of Products by Activities (CPA) breakdown).<br /><br />The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire.<br /><br />Information about data availability is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />The dataset corresponds to SNA_TABLE43 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=13f61370-170e-4658-9648-dd1684396ed9"><b>SUT_USEBP_Codes_mapping</b></a><br />The file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce2200e9-fc70-4b11-877f-2a00c6d4e530"><b>SUT_Tips</b></a> contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system.<br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Le tableau des emplois aux prix de base peut se décomposer entre le tableau des emplois de la production intérieure et celui des importations (ce tableau est également appelé matrice des importations). Cet ensemble de données décrit l’utilisation des biens et des services importés par produit et par type d'utilisation, en distinguant la consommation intermédiaire (utilisation d'un produit comme intrant dans un processus de production) et les différentes catégories de demande finale telles que la consommation, l'investissement et les exportations.<br /><br />Le tableau des importations se présente sous forme matricielle :<br />Les <b>colonnes</b> fournissent des informations sur le type d'utilisation et se composent de la consommation intermédiaire par activité économique (au niveau à deux chiffres de la classification internationale type, par industrie (CITI) Rev 4, contenant 89 industries) ; des dépenses de consommation finale des ménages, des administrations publiques et des institutions sans but lucratif au service des ménages (ISBLM) ; de la formation brute de capital (ventilée entre la formation brute de capital fixe, la variation des stocks, les acquisitions moins les cessions d'objets de valeur) ; et des exportations.<br />Les <b>lignes</b> fournissent une ventilation par produit, en utilisant la ventilation comparable de la classification statistique des produits associée aux activités (CPA) européenne.<br />Cet ensemble de données a été préparé à l’aide de l’information statistique fournie à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Vous trouverez la liste des données disponibles dans le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE43 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=13f61370-170e-4658-9648-dd1684396ed9"><b>SUT_USEBP_Codes_mapping</b></a><br />Le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68f71e93-b2fa-4932-8e2e-9b00f09588ab"><b>TRE_Astuces</b></a> contient des suggestions supplémentaires sur la façon de naviguer et d'utiliser les différents tableaux des ressources et des emplois (TRE) dans le nouveau système de diffusion.<br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true PRODUCT LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION VALUATION,OBS_STATUS=A,CONF_STATUS=F,FREQ,ACCOUNTING_ENTRY,UNIT_MEASURE,SECTOR NOT_DISPLAYED TABLE_IDENTIFIER=T1600,REF_AREA=AUT,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_SUT?references=dataflow RELATED_DATA 0.4 SEARCH_WEIGHT SUT Use at purchasers' prices (for 'Developer API') TRE Emplois aux prix d'acquisition ('API pour développeur') This dataset provides the whole set of OECD SUT Use at purchasers' prices and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. <br /><br />The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. <br /><br />To get started check the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a>. For any question <a href="https://www.oecd.org/contact/">contact us</a><br />The mapping table between old OECD.Stat and new OECD Data Explorer codes is available <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b48fdb3b-472b-4d6c-bed1-3378b1f75a76">here</a><br />Historical data for Korea from 2015 to 2019 is available <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2252f784-730a-4f67-884d-8146992ab05d"><b>here</b></a> Cet ensemble de données fournit la totalité des TRE Emplois aux prix d'acquisition de l'OCDE et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus. <br /><br />L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche. <br /><br />Veuillez consulter la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation API (en anglais seulement)</a>. Pour toute question <a href="https://www.oecd.org/fr/contact/">contactez-nous</a>.<br /><br />.Le tableau de correspondance entre les anciens codes de OECD.Stat et les nouveaux codes de OECD Data Explorer est disponible <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b48fdb3b-472b-4d6c-bed1-3378b1f75a76">ici</a><br />Les données historiques pour la Corée de 2015 À 2019 sont disponibles <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2252f784-730a-4f67-884d-8146992ab05d"><b>ici</b></a> NonProductionDataflow true PRODUCT LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION TABLE_IDENTIFIER,VALUATION,OBS_STATUS=A,CONF_STATUS=F,FREQ,ACCOUNTING_ENTRY,UNIT_MEASURE,SECTOR NOT_DISPLAYED REF_AREA=AUT,ACTIVITY=_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_X+_Z,PRODUCT=_Z+_T+CPA08_A+CPA08_B+CPA08_C+CPA08_D+CPA08_E+CPA08_F+CPA08_G+CPA08_H+CPA08_I+CPA08_J+CPA08_K+CPA08_L+CPA08_M+CPA08_N+CPA08_O+CPA08_P+CPA08_Q+CPA08_R+CPA08_S+CPA08_T+CPA08_U+_X,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_SUT?references=dataflow RELATED_DATA SUT Use at purchasers' prices TRE Emplois aux prix d'acquisition This dataset describes the use of goods and services in the economy by product and by type of use, distinguishing between intermediate consumption (products and services bought and consumed into a production process) and various categories of final demand such as consumption, investment and exports. It presents the Use table at purchasers’ prices (the price paid by the buyer).<br /><br />The Use table is organized in a matrix format:<br />The <b>columns</b> provide information about the type of use and consist of intermediate consumption by economic activity (at the 2-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Rev 4, containing 89 industries); final consumption expenditure of households, general government and non-profit institutions serving households (NPISHs); ‘gross capital formation’ or investment (broken down between gross fixed capital formation, changes in inventories, acquisitions less disposals of valuables); and exports, of which re-exports.<br />The <b>rows</b> provide a breakdown by product (using the comparable European Classification of Products by Activities (CPA) breakdown).<br />This dataset does not contain the value added block. This is presented separately in the dataset “SUT Use, Value added and its components by activity”.<br /><br />The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire.<br /><br />Information about data availability is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />The dataset corresponds to SNA_TABLE40 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b48fdb3b-472b-4d6c-bed1-3378b1f75a76"><b>SUT_USEPP_Codes_mapping</b></a><br />The file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce2200e9-fc70-4b11-877f-2a00c6d4e530"><b>SUT_Tips</b></a> contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system.<br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Cet ensemble de données décrit les emplois des biens et services dans l'économie par produit et par type d'utilisation, en distinguant la consommation intermédiaire (utilisation d'un produit comme intrant dans un processus de production) et les différentes catégories de demande finale telles que la consommation, l'investissement et les exportations. Il présente le tableau des emplois aux prix d'acquisition (prix payé par l'acheteur).<br /><br />Le tableau des emplois se présente sous forme matricielle : <br />Les <b>colonnes</b> fournissent des informations sur le type d'utilisation et se composent de la consommation intermédiaire par activité économique (au niveau à deux chiffres de la classification internationale type, par industrie (CITI) Rev 4, contenant 89 industries) ; des dépenses de consommation finale des ménages, des administrations publiques et des institutions sans but lucratif au service des ménages (ISBLM) ; de la "formation brute de capital" ou l'investissement (ventilé entre la formation brute de capital fixe, la variation des stocks, les acquisitions moins les cessions d'objets de valeur) ; et des exportations, dont les réexportations.<br />Les <b>lignes</b> fournissent une ventilation par produit, en utilisant la ventilation comparable de la classification statistique des produits associée aux activités (CPA) européenne.<br />Cet ensemble de données ne contient pas le bloc de la valeur ajoutée. Celui-ci est présenté séparément dans la partie "TRE Emplois, valeur ajoutée et ses composantes par activité".<br /><br />Cet ensemble de données a été préparé à l’aide de l’information statistique fournie à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois. <br /><br />Vous trouverez la liste des données disponibles dans le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE40 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b48fdb3b-472b-4d6c-bed1-3378b1f75a76"><b>SUT_USEPP_Codes_mapping</b></a><br />Le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68f71e93-b2fa-4932-8e2e-9b00f09588ab"><b>TRE_Astuces</b></a> contient des suggestions supplémentaires sur la façon de naviguer et d'utiliser les différents tableaux des ressources et des emplois (TRE) dans le nouveau système de diffusion.<br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true PRODUCT LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION TABLE_IDENTIFIER,VALUATION,ACCOUNTING_ENTRY,OBS_STATUS=A,CONF_STATUS=F,FREQ,UNIT_MEASURE,SECTOR NOT_DISPLAYED REF_AREA=AUT,ACTIVITY=_Z+_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_X,PRODUCT=_Z+_T+CPA08_A+CPA08_B+CPA08_C+CPA08_D+CPA08_E+CPA08_F+CPA08_G+CPA08_H+CPA08_I+CPA08_J+CPA08_K+CPA08_L+CPA08_M+CPA08_N+CPA08_O+CPA08_P+CPA08_Q+CPA08_R+CPA08_S+CPA08_T+CPA08_U+_X,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_SUT?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Domestic Use at purchasers' prices TRE Emplois aux prix d’acquisition - production intérieure The Use table at purchasers’ prices (the price paid by the buyer) can be split into a Domestic Use table and an Import Use table (also called imports matrix). This dataset describes the use of domestically produced goods and services in the economy by product and by type of use, distinguishing between intermediate consumption (use of a product as input into a production process) and various categories of final demand such as consumption, investment and exports.<br /><br />The Domestic Use table is organized in a matrix format:<br />The <b>columns</b> provide information about the type of use and consist of intermediate consumption by economic activity (at the 2-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Rev 4, containing 89 industries); final consumption expenditure of households, general government and non-profit institutions serving households (NPISHs); gross capital formation (broken down between gross fixed capital formation, changes in inventories, acquisitions less disposals of valuables); and exports.<br />The <b>rows</b> provide a breakdown by product (using the comparable European Classification of Products by Activities (CPA) breakdown).<br /><br />The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire.<br /><br />Please note that for EU countries and Albania, Australia, Columbia, Norway, Republic of North Macedonia, Serbia, Singapore, Türkiye, United Kingdom and United States, the domestic use at purchasers’ prices has been calculated as the difference between use at purchasers’ prices and import use at basic prices. Therefore, it includes net taxes on imports.<br /><br />Information about data availability is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />The dataset corresponds to SNA_TABLE40 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b48fdb3b-472b-4d6c-bed1-3378b1f75a76"><b>SUT_USEPP_Codes_mapping</b></a><br />The file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce2200e9-fc70-4b11-877f-2a00c6d4e530"><b>SUT_Tips</b></a> contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system.<br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Le tableau des emplois aux prix d’acquisition (prix payé par l’acheteur) peut se décomposer entre le tableau des emplois de la production intérieure et celui des importations (ce tableau est également appelé matrice des importations). Cet ensemble de données décrit l’utilisation des biens et des services produits sur le territoire par produit et par type d'utilisation, en distinguant la consommation intermédiaire (utilisation d'un produit comme intrant dans un processus de production) et les différentes catégories de demande finale telles que la consommation, l'investissement et les exportations.<br /><br />Le tableau des emplois de la production intérieure se présente sous forme matricielle :<br />Les <b>colonnes</b> fournissent des informations sur le type d'utilisation et se composent de la consommation intermédiaire par activité économique (au niveau à deux chiffres de la classification internationale type, par industrie (CITI) Rev 4, contenant 89 industries) ; des dépenses de consommation finale des ménages, des administrations publiques et des institutions sans but lucratif au service des ménages (ISBLM) ; de la formation brute de capital (ventilée entre la formation brute de capital fixe, la variation des stocks, les acquisitions moins les cessions d'objets de valeur) ; et des exportations<br />Les <b>lignes</b> fournissent une ventilation par produit, en utilisant la ventilation comparable de la classification statistique des produits associée aux activités (CPA) européenne.<br />Cet ensemble de données a été préparé à l’aide de l’information statistique fournie à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Il est important de noter que pour les pays de l’UE ainsi que l’Albanie, l’Australie, la Colombie, la Norvège, la République de Macédoine du Nord, la Serbie, Singapour, la Türkiye, le Royaume-Uni et les États-Unis, le tableau des emplois de la production intérieure aux prix d’acquisition a été calculé par différence entre le tableau des emplois aux prix d’acquisitions et les tableaux des importations aux prix de base. Il inclut donc les impôts nets sur les importations.<br /><br />Vous trouverez la liste des données disponibles dans le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE40 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b48fdb3b-472b-4d6c-bed1-3378b1f75a76"><b>SUT_USEPP_Codes_mapping</b></a><br />Le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68f71e93-b2fa-4932-8e2e-9b00f09588ab"><b>TRE_Astuces</b></a> contient des suggestions supplémentaires sur la façon de naviguer et d'utiliser les différents tableaux des ressources et des emplois (TRE) dans le nouveau système de diffusion.<br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true PRODUCT LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION TABLE_IDENTIFIER,VALUATION,OBS_STATUS=A,ACCOUNTING_ENTRY,CONF_STATUS=F,FREQ,UNIT_MEASURE,SECTOR NOT_DISPLAYED REF_AREA=AUT,ACTIVITY=_Z+_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_X,PRODUCT=_Z+_T+CPA08_A+CPA08_B+CPA08_C+CPA08_D+CPA08_E+CPA08_F+CPA08_G+CPA08_H+CPA08_I+CPA08_J+CPA08_K+CPA08_L+CPA08_M+CPA08_N+CPA08_O+CPA08_P+CPA08_Q+CPA08_R+CPA08_S+CPA08_T+CPA08_U+_X,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_SUT?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Import Use at purchasers' prices TRE Emplois aux prix d’acquisition - importations The Use table at purchaser prices (the price paid by the buyer) can be split into a Domestic Use table and an Import Use table (also called imports matrix). This dataset describes the use of imported goods and services in the economy by product and by type of use, distinguishing between intermediate consumption (use of a product as an input into a production process) and various categories of final demand for imports such as consumption, investment and exports.<br /><br />The Import Use table is organized in a matrix format:<br />The <b>columns</b> provide information about the type of use and consist of intermediate consumption by economic activity (at the 2-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Rev 4, containing 89 industries); final consumption expenditure of households, general government and non-profit institutions serving households (NPISHs); gross capital formation (broken down between gross fixed capital formation, changes in inventories, acquisitions less disposals of valuables); and exports.<br />The <b>rows</b> provide a breakdown by product (using the comparable European Classification of Products by Activities (CPA) breakdown).<br /><br />The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire.<br /><br />Please note that for EU countries and Albania, Australia, Columbia, Norway, Republic of North Macedonia, Serbia, Singapore, Türkiye, United Kingdom and United States, this dataset is valued at basic prices, and therefore excludes net taxes on imports.<br /><br />Information about data availability is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />The dataset corresponds to SNA_TABLE40 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b48fdb3b-472b-4d6c-bed1-3378b1f75a76"><b>SUT_USEPP_Codes_mapping</b></a><br />The file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce2200e9-fc70-4b11-877f-2a00c6d4e530"><b>SUT_Tips</b></a> contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system.<br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Le tableau des emplois aux prix d’acquisition (prix payé par l’acheteur) peut se décomposer entre le tableau des emplois de la production intérieure et celui des importations (ce tableau est également appelé matrice des importations). Cet ensemble de données décrit l’utilisation des biens et des services importés par produit et par type d'utilisation, en distinguant la consommation intermédiaire (utilisation d'un produit comme intrant dans un processus de production) et les différentes catégories de demande finale des importations telles que la consommation, l'investissement et les exportations.<br /><br />Le tableau des importations se présente sous forme matricielle :<br />Les <b>colonnes</b> fournissent des informations sur le type d'utilisation et se composent de la consommation intermédiaire par activité économique (au niveau à deux chiffres de la classification internationale type, par industrie (CITI) Rev 4, contenant 89 industries) ; des dépenses de consommation finale des ménages, des administrations publiques et des institutions sans but lucratif au service des ménages (ISBLM) ; de la formation brute de capital (ventilée entre la formation brute de capital fixe, la variation des stocks, les acquisitions moins les cessions d'objets de valeur) ; et des exportations.<br />Les <b>lignes</b> fournissent une ventilation par produit, en utilisant la ventilation comparable de la classification statistique des produits associée aux activités (CPA) européenne.<br />Cet ensemble de données a été préparé à l’aide de l’information statistique fournie à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Il est important de noter que pour les pays de l’UE ainsi que l’Albanie, l’Australie, la Colombie, la Norvège, la République de Macédoine du Nord, la Serbie, Singapour, la Türkiye, le Royaume-Uni et les États-Unis, cet ensemble de données est évalué aux prix de base. Il exclut donc les impôts nets sur les importations. <br /><br />Vous trouverez la liste des données disponibles dans le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE40 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b48fdb3b-472b-4d6c-bed1-3378b1f75a76"><b>SUT_USEPP_Codes_mapping</b></a><br />Le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68f71e93-b2fa-4932-8e2e-9b00f09588ab"><b>TRE_Astuces</b></a> contient des suggestions supplémentaires sur la façon de naviguer et d'utiliser les différents tableaux des ressources et des emplois (TRE) dans le nouveau système de diffusion.<br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true TRANSACTION,VALUATION LAYOUT_ROW ACTIVITY LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION TABLE_IDENTIFIER,COUNTERPART_AREA,OBS_STATUS=A,CONF_STATUS=F,FREQ,UNIT_MEASURE,SECTOR,VALUATION=_Z NOT_DISPLAYED REF_AREA=AUT,ACTIVITY=_Z+_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_X,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_TRANSACTION:TRANSACTION,VALUATION;COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_TRANSACTION:Combined transaction;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_TRANSACTION:Transaction combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_1_SUT(1.0).H,VALUATION:OECD.SDD.NAD:HCL_VALUATION_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_SUT?references=dataflow RELATED_DATA SUT Use, Value added and its components by activity TRE Emplois, Valeur ajoutée et ses composantes par activité The dataset contains the value added block of the Use table and complements the dataset “SUT Use at purchasers' prices”. It describes output, intermediate consumption (use of a product as input into a production process) and value added disaggregated to show the elements of the generation of income account: compensation of employees (wages and salaries paid to employees and their employers’ social contributions),other taxes less subsidies on production, gross operating surplus (business profits), and gross mixed income (profits of the self-employed), broken down by activity at the 2-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Rev 4 (containing 89 industries).<br /><br />The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire.<br /><br />Information about data availability is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />The dataset corresponds to SNA_TABLE41 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d47c1364-fef0-4fdd-8aa2-9658b1d2d5eb"><b>SUT_USEVA_Codes_mapping</b></a><br />Historical data for Korea from 2015 to 2019 is available <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c7ca7b64-1073-4af6-aee7-49b7973d551b"><b>here</b></a><br /><br />The file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce2200e9-fc70-4b11-877f-2a00c6d4e530"><b>SUT_Tips</b></a> contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system.<br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Cet ensemble de de données contient le bloc de la valeur ajoutée du tableau des emplois et complète l’ensemble de données «TRE Emplois aux prix d’acquisition » . Il décrit la production, la consommation intermédiaire (utilisation d'un produit comme intrant dans un processus de production) et la valeur ajoutée désagrégée pour montrer les éléments du compte d'exploitation : la rémunération des salariés (salaires et traitements bruts payés aux salariés et leurs cotisations sociales à la charge des employeurs), les autres impôts moins subventions sur la production, l'excédent brut d'exploitation (bénéfice des entreprises), ventilé par activité au niveau à deux chiffres de la classification internationale type, par industrie (CITI) Rév. 4 (qui contient 89 industries).<br /><br />Cet ensemble de données a été préparé à l’aide de l’information statistique fournie à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Vous trouverez la liste des données disponibles dans le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE41 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d47c1364-fef0-4fdd-8aa2-9658b1d2d5eb"><b>SUT_USEVA_Codes_mapping</b></a><br />Les données historiques pour la Corée de 2015 À 2019 sont disponibles <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c7ca7b64-1073-4af6-aee7-49b7973d551b"><b>ici</b></a><br /><br />Le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68f71e93-b2fa-4932-8e2e-9b00f09588ab"><b>TRE_Astuces</b></a> contient des suggestions supplémentaires sur la façon de naviguer et d'utiliser les différents tableaux des ressources et des emplois (TRE) dans le nouveau système de diffusion.<br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true PRODUCT LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION SECTOR,OBS_STATUS=A,ACCOUNTING_ENTRY,CONF_STATUS=F,FREQ,UNIT_MEASURE NOT_DISPLAYED TABLE_IDENTIFIER=T1620,REF_AREA=AUT,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_SUT(1.0).H,VALUATION:OECD.SDD.NAD:HCL_VALUATION_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_VM?references=dataflow RELATED_DATA 0.4 SEARCH_WEIGHT SUT Valuation (for 'Developer API') TRE Matrices d'évaluation ('API pour développeur') This dataset provides the whole set of OECD SUT Valuation and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the ‘Developer API query builder’, click on the ‘Developer API’ button above. <br /><br />The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. <br /><br />To get started check the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a>. For any question <a href="https://www.oecd.org/contact/">contact us</a><br /><br />The mapping table between old OECD.Stat and new OECD Data Explorer codes is available <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4667fff6-e641-44b6-a622-ccdfdd244731">here</a><br />Historical data for Korea for 2015 is available <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9b648990-f170-4b3f-b8b7-07c7cc3b7197"><b>here</b></a> Cet ensemble de données fournit la totalité des TRE Matrices d'évaluation de l'OCDE et est recommandé aux utilisateurs qui souhaitent effectuer des requêtes sur un grand nombre de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Tableau et Graphique. Pour accéder au générateur de requêtes API, cliquez sur le bouton "API pour développeur" ci-dessus. <br /><br />L'interface de programmation applicative (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant de simples fonctions d'URL RESTful et d'en-tête HTTP pour différents choix de formats de réponse, y compris le format JSON. Le filtre de la requête est généré en fonction de la sélection actuelle des données. Pour modifier la sélection de données, utilisez les filtres sur la gauche. <br /><br />Veuillez consulter la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation API (en anglais seulement)</a>. Pour toute question <a href="https://www.oecd.org/fr/contact/">contactez-nous</a>.<br /><br />Le tableau de correspondance entre les anciens codes de OECD.Stat et les nouveaux codes de OECD Data Explorer est disponible <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4667fff6-e641-44b6-a622-ccdfdd244731">ici</a><br />Les données historiques pour la Corée de 2015 sont disponibles <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9b648990-f170-4b3f-b8b7-07c7cc3b7197"><b>ici</b></a> NonProductionDataflow true PRODUCT LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION TABLE_IDENTIFIER,SECTOR,ACCOUNTING_ENTRY,OBS_STATUS=A,CONF_STATUS=F,FREQ,UNIT_MEASURE,VALUATION NOT_DISPLAYED REF_AREA=AUT,ACTIVITY=_Z+_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_X,PRODUCT=_Z+_T+CPA08_A+CPA08_B+CPA08_C+CPA08_D+CPA08_E+CPA08_F+CPA08_G+CPA08_H+CPA08_I+CPA08_J+CPA08_K+CPA08_L+CPA08_M+CPA08_N+CPA08_O+CPA08_P+CPA08_Q+CPA08_R+CPA08_S+CPA08_T+CPA08_U+_X,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_SUT(1.0).H,VALUATION:OECD.SDD.NAD:HCL_VALUATION_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_VM?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Trade and transport margins TRE Marges commerciales et de transport This dataset describes the matrix of trade and transport margins (trade margins are the difference in price realised by a wholesaler or retailer when reselling a good compared with the price to replace the good ; transport margins are transportation charges explicitly invoiced for the delivery). This dataset is one of the valuation matrices that are used to transform the Use table at purchasers’ prices (the price paid by the buyer) into the Use table at basic prices (the price received by the producer or for imports, the value at the border).<br /><br />The <b>columns</b> provide information about trade and transport margins related to intermediate consumption by economic activities (at the 2-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Rev 4, containing 89 industries); final consumption expenditure of households, general government and non-profit institutions serving households (NPISHs); gross capital formation (broken down between gross fixed capital formation, changes in inventories, and acquisitions less disposals of valuables); and exports.<br />The <b>rows</b> provide a breakdown by product (using the comparable European Classification of Products by Activities (CPA) breakdown).<br /><br />The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire.<br /><br />Information about data availability is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />The dataset corresponds to SNA_TABLE44 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4667fff6-e641-44b6-a622-ccdfdd244731"><b>SUT_VALUATION_Codes_mapping</b></a><br />The file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce2200e9-fc70-4b11-877f-2a00c6d4e530"><b>SUT_Tips</b></a> contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system.<br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Cet ensemble de données décrit la matrice des marges commerciales et de transport (les marges commerciales sont la différence de prix réalisée par un grossiste ou un détaillant lors de la revente d'un bien par rapport au prix de remplacement du bien ; les marges de transport sont les frais de transport explicitement facturés pour la livraison). C'est l'une des matrices d'évaluation utilisées pour transformer le tableau des emplois aux prix d’acquisition (le prix payé par l'acheteur) en tableau des emplois aux prix de base (le prix reçu par le producteur ou, pour les importations, la valeur à la frontière).<br /><br />Les <b>colonnes</b> fournissent des informations sur les marges commerciales et de transports liées à la consommation intermédiaire par activité économique (au niveau à deux chiffres de la classification internationale type, par industrie (CITI) Rev 4, contenant 89 industries) ; des dépenses de consommation finale des ménages, des administrations publiques et des institutions sans but lucratif au service des ménages (ISBLM) ; de la formation brute de capital (ventilée entre la formation brute de capital fixe, la variation des stocks, les acquisitions moins les cessions d'objets de valeur) ; et des exportations.<br />Les <b>lignes</b> fournissent une ventilation par produit, en utilisant la ventilation comparable de la classification statistique des produits associée aux activités (CPA) européenne.<br />Cet ensemble de données a été préparé à l’aide de l’information statistique fournie à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Vous trouverez la liste des données disponibles dans le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE44 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4667fff6-e641-44b6-a622-ccdfdd244731"><b>SUT_VALUATION_Codes_mapping</b></a><br />Le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68f71e93-b2fa-4932-8e2e-9b00f09588ab"><b>TRE_Astuces</b></a> contient des suggestions supplémentaires sur la façon de naviguer et d'utiliser les différents tableaux des ressources et des emplois (TRE) dans le nouveau système de diffusion.<br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true PRODUCT LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION TABLE_IDENTIFIER,SECTOR,ACCOUNTING_ENTRY,OBS_STATUS=A,CONF_STATUS=F,FREQ,UNIT_MEASURE,VALUATION NOT_DISPLAYED REF_AREA=AUT,ACTIVITY=_Z+_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_X,PRODUCT=_Z+_T+CPA08_A+CPA08_B+CPA08_C+CPA08_D+CPA08_E+CPA08_F+CPA08_G+CPA08_H+CPA08_I+CPA08_J+CPA08_K+CPA08_L+CPA08_M+CPA08_N+CPA08_O+CPA08_P+CPA08_Q+CPA08_R+CPA08_S+CPA08_T+CPA08_U+_X,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_SUT(1.0).H,VALUATION:OECD.SDD.NAD:HCL_VALUATION_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_VM?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Taxes less subsidies on products TRE Impôts moins subventions sur les produits This dataset describes the matrix of taxes less subsidies on products (taxes and subsidies based on the quantity or the value of the goods and services), which is one of the valuation matrices that are used to transform the Use table at purchasers’ prices (the price paid by the buyer) into the Use table at basic prices (the price received by the producer or for imports, the value at the border). Tables that describe taxes, subsidies and value added tax(VAT), separately are also available (see below).<br /><br />The <b>columns</b> provide information about taxes less subsidies on products related to intermediate consumption by economic activities (at the 2-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Rev 4, containing 89 industries); final consumption expenditure of households, general government and non-profit institutions serving households (NPISHs); gross capital formation (broken down between gross fixed capital formation, changes in inventories, and acquisitions less disposals of valuables); and exports.<br />The <b>rows</b> provide a breakdown by product (using the comparable European Classification of Products by Activities (CPA) breakdown).<br /><br />The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire.<br /><br />Information about data availability is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />The dataset corresponds to SNA_TABLE44 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4667fff6-e641-44b6-a622-ccdfdd244731"><b>SUT_VALUATION_Codes_mapping</b></a><br />The file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce2200e9-fc70-4b11-877f-2a00c6d4e530"><b>SUT_Tips</b></a> contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system.<br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Cet ensemble de données décrit la matrice des impôts moins les subventions sur les produits (impôts et subventions basés sur la quantité ou la valeur des biens et services), qui est l'une des matrices d'évaluation utilisées pour transformer le tableau des emplois aux prix d'acquisition (le prix payé par l'acheteur) en tableau des emplois aux prix de base (le prix reçu par le producteur ou, pour les importations, la valeur à la frontière). Des tableaux décrivant séparément les impôts, les subventions et la taxe sur la valeur ajoutée sont également disponibles (voir ci-dessous).<br /><br />Les <b>colonnes</b> fournissent des informations sur les impôts moins subventions sur les produits liés à la consommation intermédiaire par activité économique (au niveau à deux chiffres de la classification internationale type, par industrie (CITI) Rev 4, contenant 89 industries) ; des dépenses de consommation finale des ménages, des administrations publiques et des institutions sans but lucratif au service des ménages (ISBLM) ; de la formation brute de capital (ventilée entre la formation brute de capital fixe, la variation des stocks, les acquisitions moins les cessions d'objets de valeur) ; et des exportations.<br />Les <b>lignes</b> fournissent une ventilation par produit, en utilisant la ventilation comparable de la classification statistique des produits associée aux activités (CPA) européenne.<br />Cet ensemble de données a été préparé à l’aide de l’information statistique fournie à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Vous trouverez la liste des données disponibles dans le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE44 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4667fff6-e641-44b6-a622-ccdfdd244731"><b>SUT_VALUATION_Codes_mapping</b></a><br />Le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68f71e93-b2fa-4932-8e2e-9b00f09588ab"><b>TRE_Astuces</b></a> contient des suggestions supplémentaires sur la façon de naviguer et d'utiliser les différents tableaux des ressources et des emplois (TRE) dans le nouveau système de diffusion.<br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true PRODUCT LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION TABLE_IDENTIFIER,SECTOR,OBS_STATUS=A,ACCOUNTING_ENTRY,CONF_STATUS=F,FREQ,UNIT_MEASURE,VALUATION NOT_DISPLAYED REF_AREA=AUT,ACTIVITY=_Z+_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_X,PRODUCT=_Z+_T+CPA08_A+CPA08_B+CPA08_C+CPA08_D+CPA08_E+CPA08_F+CPA08_G+CPA08_H+CPA08_I+CPA08_J+CPA08_K+CPA08_L+CPA08_M+CPA08_N+CPA08_O+CPA08_P+CPA08_Q+CPA08_R+CPA08_S+CPA08_T+CPA08_U+_X,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_SUT(1.0).H,VALUATION:OECD.SDD.NAD:HCL_VALUATION_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_VM?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Taxes less subsidies on products excluding VAT TRE Impôts moins subventions sur les produits à l'exception de la TVA This dataset describes the matrix of taxes less subsidies on products (taxes and subsidies based on the quantity or the value of the goods and services) excluding value added tax (VAT), which is one of the valuation matrices that are used to transform the Use table at purchasers’ prices (the price paid by the buyer) into the Use table at basic prices (the price received by the producer or for imports, the value at the border).<br /><br />The <b>columns</b> provide information about taxes less subsidies on products excluding VAT related to intermediate consumption by economic activities (at the 2-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Rev 4, containing 89 industries); final consumption expenditure of households, general government and non-profit institutions serving households (NPISHs); gross capital formation (broken down between gross fixed capital formation, changes in inventories, and acquisitions less disposals of valuables); and exports.<br />The <b>rows</b> provide a breakdown by product (using the comparable European Classification of Products by Activities (CPA) breakdown).<br /><br />The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire.<br /><br />Information about data availability is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />The dataset corresponds to SNA_TABLE44 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4667fff6-e641-44b6-a622-ccdfdd244731"><b>SUT_VALUATION_Codes_mapping</b></a><br />The file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce2200e9-fc70-4b11-877f-2a00c6d4e530"><b>SUT_Tips</b></a> contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system.<br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Cet ensemble de données décrit la matrice des impôts moins les subventions sur les produits (impôts et subventions basés sur la quantité ou la valeur des biens et services) à l’exception de la taxe sur le valeur ajoutée (TVA), qui est l'une des matrices d'évaluation utilisées pour transformer le tableau des emplois aux prix d'acquisition (le prix payé par l'acheteur) en tableau des emplois aux prix de base (le prix reçu par le producteur ou, pour les importations, la valeur à la frontière). Des tableaux décrivant séparément les impôts, les subventions et la taxe sur la valeur ajoutée sont également disponibles (voir ci-dessous).<br /><br />Les <b>colonnes</b> fournissent des informations sur les impôts moins subventions sur les produits à l’exception de la TVA liés à la consommation intermédiaire par activité économique (au niveau à deux chiffres de la classification internationale type, par industrie (CITI) Rev 4, contenant 89 industries) ; des dépenses de consommation finale des ménages, des administrations publiques et des institutions sans but lucratif au service des ménages (ISBLM) ; de la formation brute de capital (ventilée entre la formation brute de capital fixe, la variation des stocks, les acquisitions moins les cessions d'objets de valeur) ; et des exportations.<br />Les <b>lignes</b> fournissent une ventilation par produit, en utilisant la ventilation comparable de la classification statistique des produits associée aux activités (CPA) européenne.<br />Cet ensemble de données a été préparé à l’aide de l’information statistique fournie à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Vous trouverez la liste des données disponibles dans le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE44 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4667fff6-e641-44b6-a622-ccdfdd244731"><b>SUT_VALUATION_Codes_mapping</b></a><br />Le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68f71e93-b2fa-4932-8e2e-9b00f09588ab"><b>TRE_Astuces</b></a> contient des suggestions supplémentaires sur la façon de naviguer et d'utiliser les différents tableaux des ressources et des emplois (TRE) dans le nouveau système de diffusion.<br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true PRODUCT LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION TABLE_IDENTIFIER,SECTOR,ACCOUNTING_ENTRY,OBS_STATUS=A,CONF_STATUS=F,FREQ,UNIT_MEASURE,VALUATION NOT_DISPLAYED REF_AREA=AUT,ACTIVITY=_Z+_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_X,PRODUCT=_Z+_T+CPA08_A+CPA08_B+CPA08_C+CPA08_D+CPA08_E+CPA08_F+CPA08_G+CPA08_H+CPA08_I+CPA08_J+CPA08_K+CPA08_L+CPA08_M+CPA08_N+CPA08_O+CPA08_P+CPA08_Q+CPA08_R+CPA08_S+CPA08_T+CPA08_U+_X,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_SUT(1.0).H,VALUATION:OECD.SDD.NAD:HCL_VALUATION_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_VM?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT VAT TRE TVA This dataset describes the matrix of value added tax (VAT), which is one of the valuation matrices that are used to transform the Use table at purchasers’ prices (the price paid by the buyer) into the Use table at basic prices (the price received by the producer or for imports, the value at the border.<br /><br />The <b>columns</b> provide information about VAT related to intermediate consumption by economic activities (at the 2-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Rev 4, containing 89 industries); final consumption expenditure of households, general government and non-profit institutions serving households (NPISHs); gross capital formation (broken down between gross fixed capital formation, changes in inventories, and acquisitions less disposals of valuables); and exports.<br />The <b>rows</b> provide a breakdown by product (using the comparable European Classification of Products by Activities (CPA) breakdown).<br /><br />The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire.<br /><br />Information about data availability is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />The dataset corresponds to SNA_TABLE44 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4667fff6-e641-44b6-a622-ccdfdd244731"><b>SUT_VALUATION_Codes_mapping</b></a><br />The file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce2200e9-fc70-4b11-877f-2a00c6d4e530"><b>SUT_Tips</b></a> contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system.<br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Cet ensemble de données écrit la matrice des taxes sur la valeur ajoutée (TVA), qui est l'une des matrices d'évaluation utilisées pour transformer le tableau des emplois aux prix d'acquisition (le prix payé par l'acheteur) en tableau des emplois aux prix de base (le prix reçu par le producteur ou, pour les importations, la valeur à la frontière).<br /><br />Les <b>colonnes</b> fournissent des informations sur la TVA liée à la consommation intermédiaire par activité économique (au niveau à deux chiffres de la classification internationale type, par industrie (CITI) Rev 4, contenant 89 industries) ; des dépenses de consommation finale des ménages, des administrations publiques et des institutions sans but lucratif au service des ménages (ISBLM) ; de la formation brute de capital (ventilée entre la formation brute de capital fixe, la variation des stocks, les acquisitions moins les cessions d'objets de valeur) ; et des exportations.<br />Les <b>lignes</b> fournissent une ventilation par produit, en utilisant la ventilation comparable de la classification statistique des produits associée aux activités (CPA) européenne.<br />Cet ensemble de données a été préparé à l’aide de l’information statistique fournie à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Vous trouverez la liste des données disponibles dans le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE44 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4667fff6-e641-44b6-a622-ccdfdd244731"><b>SUT_VALUATION_Codes_mapping</b></a><br />Le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68f71e93-b2fa-4932-8e2e-9b00f09588ab"><b>TRE_Astuces</b></a> contient des suggestions supplémentaires sur la façon de naviguer et d'utiliser les différents tableaux des ressources et des emplois (TRE) dans le nouveau système de diffusion.<br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true PRODUCT LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION TABLE_IDENTIFIER,SECTOR,ACCOUNTING_ENTRY,OBS_STATUS=A,CONF_STATUS=F,FREQ,UNIT_MEASURE,VALUATION NOT_DISPLAYED REF_AREA=AUT,ACTIVITY=_Z+_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_X,PRODUCT=_Z+_T+CPA08_A+CPA08_B+CPA08_C+CPA08_D+CPA08_E+CPA08_F+CPA08_G+CPA08_H+CPA08_I+CPA08_J+CPA08_K+CPA08_L+CPA08_M+CPA08_N+CPA08_O+CPA08_P+CPA08_Q+CPA08_R+CPA08_S+CPA08_T+CPA08_U+_X,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_SUT(1.0).H,VALUATION:OECD.SDD.NAD:HCL_VALUATION_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_VM?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Taxes on products TRE Impôts sur les produits This dataset describes the matrix of taxes on products (taxes based on the quantity or the value of the goods and services), which is one of the valuation matrices that are used to transform the Use table at purchasers’ prices (the price paid by the buyer) into the Use table at basic prices (the price received by the producer or for imports, the value at the border).<br /><br />The <b>columns</b> provide information about taxes on products related to intermediate consumption by economic activities (at the 2-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Rev 4, containing 89 industries); final consumption expenditure of households, general government and non-profit institutions serving households (NPISHs); gross capital formation (broken down between gross fixed capital formation, changes in inventories, and acquisitions less disposals of valuables); and exports.<br />The <b>rows</b> provide a breakdown by product (using the comparable European Classification of Products by Activities (CPA) breakdown).<br /><br />The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire.<br /><br />Information about data availability is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />The dataset corresponds to SNA_TABLE44 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4667fff6-e641-44b6-a622-ccdfdd244731"><b>SUT_VALUATION_Codes_mapping</b></a><br />The file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce2200e9-fc70-4b11-877f-2a00c6d4e530"><b>SUT_Tips</b></a> contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system.<br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Cet ensemble de données décrit la matrice des impôts sur les produits (impôts et subventions basés sur la quantité ou la valeur des biens et services), qui est l'une des matrices d'évaluation utilisées pour transformer le tableau des emplois aux prix d'acquisition (le prix payé par l'acheteur) en tableau des emplois aux prix de base (le prix reçu par le producteur ou, pour les importations, la valeur à la frontière).<br /><br />Les <b>colonnes</b> fournissent des informations sur les impôts sur les produits liés à la consommation intermédiaire par activité économique (au niveau à deux chiffres de la classification internationale type, par industrie (CITI) Rev 4, contenant 89 industries) ; des dépenses de consommation finale des ménages, des administrations publiques et des institutions sans but lucratif au service des ménages (ISBLM) ; de la formation brute de capital (ventilée entre la formation brute de capital fixe, la variation des stocks, les acquisitions moins les cessions d'objets de valeur) ; et des exportations.<br />Les <b>lignes</b> fournissent une ventilation par produit, en utilisant la ventilation comparable de la classification statistique des produits associée aux activités (CPA) européenne.<br />Cet ensemble de données a été préparé à l’aide de l’information statistique fournie à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Vous trouverez la liste des données disponibles dans le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE44 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4667fff6-e641-44b6-a622-ccdfdd244731"><b>SUT_VALUATION_Codes_mapping</b></a><br />Le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68f71e93-b2fa-4932-8e2e-9b00f09588ab"><b>TRE_Astuces</b></a> contient des suggestions supplémentaires sur la façon de naviguer et d'utiliser les différents tableaux des ressources et des emplois (TRE) dans le nouveau système de diffusion.<br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true PRODUCT LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION TABLE_IDENTIFIER,SECTOR,ACCOUNTING_ENTRY,OBS_STATUS=A,CONF_STATUS=F,FREQ,UNIT_MEASURE,VALUATION NOT_DISPLAYED REF_AREA=AUT,ACTIVITY=_Z+_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_X,PRODUCT=_Z+_T+CPA08_A+CPA08_B+CPA08_C+CPA08_D+CPA08_E+CPA08_F+CPA08_G+CPA08_H+CPA08_I+CPA08_J+CPA08_K+CPA08_L+CPA08_M+CPA08_N+CPA08_O+CPA08_P+CPA08_Q+CPA08_R+CPA08_S+CPA08_T+CPA08_U+_X,PRICE_BASE=V,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MULT,CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD:HCL_ACTIVITY_ISIC4_SUT(1.0).H,PRODUCT:OECD.SDD.NAD:HCL_PRODUCT_CPA2008_SUT(1.0).H,TRANSACTION:OECD.SDD.NAD:HCL_TRANSACTION_SUT(1.0).H,VALUATION:OECD.SDD.NAD:HCL_VALUATION_SUT(1.0).H HIER_CONTEXT 20000 MAX_TABLE_DATA categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_SUT.ECO_NAD_SUT_VM?references=dataflow RELATED_DATA 0.6 SEARCH_WEIGHT SUT Subsidies on products TRE Subventions sur les produits This dataset describes the matrix of subsidies on products (subsidies based on the quantity or the value of the goods and services), which is one of the valuation matrices that are used to transform the Use table at purchasers’ prices (the price paid by the buyer) into the Use table at basic prices (the price received by the producer or for imports, the value at the border).<br /><br />The <b>columns</b> provide information about subsidies on products related to intermediate consumption by economic activities (at the 2-digit level of the International Standard Industrial Classification of All Economic Activities (ISIC) Rev 4, containing 89 industries); final consumption expenditure of households, general government and non-profit institutions serving households (NPISHs); gross capital formation (broken down between gross fixed capital formation, changes in inventories, and acquisitions less disposals of valuables); and exports.<br />The <b>rows</b> provide a breakdown by product (using the comparable European Classification of Products by Activities (CPA) breakdown).<br /><br />The dataset has been prepared from statistics reported to the OECD by countries in their answers to the annual Supply and Use questionnaire.<br /><br />Information about data availability is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />The dataset corresponds to SNA_TABLE44 dataset in the previous dissemination system.<br />A mapping between the new codes and previous codes is available in <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4667fff6-e641-44b6-a622-ccdfdd244731"><b>SUT_VALUATION_Codes_mapping</b></a><br />The file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce2200e9-fc70-4b11-877f-2a00c6d4e530"><b>SUT_Tips</b></a> contains further suggestions on how to navigate and use the various Supply and Use tables (SUTs) in the new dissemination system.<br /><br />Explore the OECD SUT webpage <a href="https://www.oecd.org/en/data/datasets/supply-and-use-tables.html"><b>SUT webpage</b></a> Cet ensemble de données décrit la matrice des subventions sur les produits (subventions basées sur la quantité ou la valeur des biens et services), qui est l'une des matrices d'évaluation utilisées pour transformer le tableau des emplois aux prix d'acquisition (le prix payé par l'acheteur) en tableau des emplois aux prix de base (le prix reçu par le producteur ou, pour les importations, la valeur à la frontière).<br /><br />Les <b>colonnes</b> fournissent des informations sur les subventions sur les produits liées à la consommation intermédiaire par activité économique (au niveau à deux chiffres de la classification internationale type, par industrie (CITI) Rev 4, contenant 89 industries) ; des dépenses de consommation finale des ménages, des administrations publiques et des institutions sans but lucratif au service des ménages (ISBLM) ; de la formation brute de capital (ventilée entre la formation brute de capital fixe, la variation des stocks, les acquisitions moins les cessions d'objets de valeur) ; et des exportations.<br />Les <b>lignes</b> fournissent une ventilation par produit, en utilisant la ventilation comparable de la classification statistique des produits associée aux activités (CPA) européenne.<br />Cet ensemble de données a été préparé à l’aide de l’information statistique fournie à l’OCDE par les pays dans leurs réponses au questionnaire des ressources et des emplois.<br /><br />Vous trouverez la liste des données disponibles dans le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2a551034-f321-4a5c-b03a-7bbf08e4c2d4"><b>SUT updates</b></a><br /><br />Cet ensemble de données correspond à l'ensemble de données SNA_TABLE44 dans le système de diffusion précédent. Un tableau de correspondance entre les nouveaux et les anciens codes est disponible à l'adresse suivante <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4667fff6-e641-44b6-a622-ccdfdd244731"><b>SUT_VALUATION_Codes_mapping</b></a><br />Le fichier <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68f71e93-b2fa-4932-8e2e-9b00f09588ab"><b>TRE_Astuces</b></a> contient des suggestions supplémentaires sur la façon de naviguer et d'utiliser les différents tableaux des ressources et des emplois (TRE) dans le nouveau système de diffusion.<br /><br />Explorer la page internet des TRE de l’OCDE : <a href="https://www.oecd.org/fr/data/datasets/supply-and-use-tables.html"><b>TRE</b></a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,SECTOR=S1 NOT_DISPLAYED TIME_PERIOD_START=2015,MEASURE=FD3,UNIT_MEASURE=LES1_BF90,SECTOR=S13,UNIT_MEASURE=PT_B1GQ DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée MEASURE:OECD.SDD.NAD:HCL_MEASURE_FIN_DASH(1.0).H,SECTOR:OECD.SDD.NAD:HCL_SECTOR_D1D4(1.0).H HIER_CONTEXT 1.0001 SEARCH_WEIGHT categoryscheme/OECD/OECDCS1/latest/ECO.ECO_NAD.ECO_NAD_GFD.ECO_NAD_GFD_PSD?references=dataflow RELATED_DATA Government debt by instrument coverage La dette du gouvernement selon la couverture instrumentale The magnitude of government debt and debt-to-GDP ratios varies depending on which measure of debt is used. To promote international comparability, the IMF, the OECD and the World Bank have agreed on a set of standard debt measures, which are defined in the Public Sector Debt Statistics Guide for Compilers and Users and the Government Finance Statistics Manual 2014. Government gross debt is shown in four categories: D1 to D4. D1 is the narrowest measure, comprising only two financial instruments: debt securities and loans. D4 (‘total gross debt’) is the broadest measure and includes debt securities, loans, Special Drawing Rights, currency and deposits, other accounts payable and insurance, pensions and standardised guarantees. <br> <br> The D1 to D3 measures are comparable between OECD countries. D4 is the preferred measure of debt in the international accounting standards (System of National Accounts or SNA) but cross-country comparability is more difficult for D4 because countries have different approaches to recording unfunded pension liabilities for government employees. <br> <br> For more information, please see the document: <br> <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=475a0a2c-b0d3-4a84-8bd3-caf1211bd72f">Measuring Government Debt: D1-D4</a> L'ampleur de la dette publique et des ratios dette/PIB varie en fonction de la mesure de la dette utilisée. Afin de promouvoir la comparabilité internationale, le FMI, l'OCDE et la Banque mondiale ont convenu d'un ensemble de mesures standard de la dette, qui sont définies dans le Guide pour les statisticiens et les utilisateurs sur les statistiques de la dette du secteur public et dans le Manuel de statistiques de finances publiques 2014. La dette brute des administrations publiques est répartie en quatre catégories : D1 à D4. D1 est la mesure la plus restreinte, comprenant seulement deux instruments financiers : les titres de créance et les prêts. D4 ("dette brute totale") est la mesure la plus large et comprend les titres de créance, les prêts, les droits de tirage spéciaux, le numéraire et les dépôts, les autres comptes à payer et les assurances, pensions et garanties standardisées. <br> <br> Les mesures D1 à D3 sont comparables entre les pays de l'OCDE. D4 est la mesure privilégiée de la dette dans les normes comptables internationales (Système de comptabilité nationale ou SCN), mais la comparabilité entre pays est amoindrie pour D4 car les pays ont des approches différentes de l'enregistrement des engagements de retraite non financés pour les fonctionnaires. <br> <br> Pour plus d'informations, veuillez consulter le document : <br> <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=475a0a2c-b0d3-4a84-8bd3-caf1211bd72f">Measuring Government Debt: D1-D4</a> NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN ACTIVITY_SCOPE, POLLUTANT LAYOUT_ROW_SECTION FREQ=A,METHODOLOGY=_Z,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=FRA,POLLUTANT=GHG+CO2+CO,UNIT_MEASURE=T_CO2E+T,TIME_PERIOD_START=2015 DEFAULT COMBINED_UNIT_MEASURE:MEASURE,METHODOLOGY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.SDD.NAD.SEEA:HCL_ACTIVITY_ISIC4(1.3).H, POLLUTANT:OECD.SDD.NAD.SEEA:HCL_POLLUTANT(1.1).H,ACTIVITY_SCOPE:OECD.SDD.NAD.SEEA:HCL_BRIDGE_ITEM(1.0).H HIER_CONTEXT Air Emissions Accounts Comptes d'émissions aériennes This dataset describes the emissions to the atmosphere released as a result of production and consumption processes. The productive activities are broken down by economic activity and the household consumption activities are broken down by purpose (transport, heating, and other activities). Air emissions include emissions of individual greenhouse gases (GHG) as well as air pollutants such as sulphur dioxide, nitrogen oxides, and particulate matter. The emissions are also aggregated (using equivalence factors) to report on environmental pressures: global warming potential, acidifying gases and ozone precursors. <br><br> The data are compiled in line with the System of Environmental-Economic Accounting (SEEA) framework. The air emissions are attributed to a national economy based on the residence of the economic entities involved. The database also provides bridging items to the United Nations Framework Convention on Climate Change (UNFCCC) national emissions inventories based on the territory principle. <br><br> Data reported by the relevant national statistical authorities are available on an annual basis. The OECD provides annual estimates based on national GHG inventories when necessary and quarterly estimates for the OECD as a whole for total GHGs. <br><br> A description of the methodology to estimate quarterly emission accounts can be found in the <a href=https://www.oecd.org/sdd/eea/Methods-Note-Producing-OECD-Quarterly-Air-Emission-Accounts.pdf>Methods Note: Producing OECD Quarterly Air Emission Accounts</a> Cet ensemble de données décrit les émissions dans l'atmosphère résultant des processus de production et de consommation. Les activités de production sont ventilées par activité économique et les activités de consommation des ménages sont ventilées par objectif (transport, chauffage et autres activités). Les émissions atmosphériques comprennent les émissions de gaz à effet de serre (GES) et de polluants atmosphériques tels que le dioxyde de soufre, les oxydes d'azote et les particules. Les émissions sont également agrégées (à l'aide de facteurs d'équivalence) pour rendre compte des pressions sur l'environnement : potentiel de réchauffement planétaire, gaz acidifiants et précurseurs de l'ozone.<br><br> Les données sont compilées conformément au cadre du Système de comptabilité économique et environnementale (SCEE). Les émissions atmosphériques sont attribuées à une économie nationale sur la base du lieu de résidence des entités économiques concernées. La base de données fournit également des éléments de rapprochement avec les inventaires nationaux d'émissions de la Convention-cadre des Nations unies sur les changements climatiques (CCNUCC) basés sur le principe du territoire.<br><br> Les données communiquées par les autorités statistiques nationales compétentes sont disponibles sur une base annuelle. L'OCDE fournit des estimations annuelles sur la base des inventaires nationaux de GES lorsque nécessaire et des estimations trimestrielles pour l'ensemble de l'OCDE pour le total des GES.<br><br> Une description de la méthodologie utilisée pour estimer les comptes trimestriels d'émissions est disponible dans le document <a href=https://www.oecd.org/sdd/eea/Methods-Note-Producing-OECD-Quarterly-Air-Emission-Accounts.pdf>Methods Note: Producing OECD Quarterly Air Emission Accounts</a> NonProductionDataflow true EMISSIONS_SOURCE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION CLASSIFICATION,BRIDGE_ITEM LAYOUT_FLAG FREQ=A,METHODOLOGY=_Z,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=FRA,FLIGHT_TYPE=_T,FREQ=Q DEFAULT COMBINED_UNIT_MEASURE:MEASURE,METHODOLOGY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Air transport CO2 emissions (experimental) Émissions de CO2 du transport aérien (expérimental) This database provides annual, quarterly and monthly estimates for carbon dioxide (CO2) emissions from commercial passenger, freight and general aviation flights. The emissions are estimated for 186 countries by the OECD, based on a consistent methodology across countries. From 2019, the estimates are compiled using Automatic Dependent Surveillance-Broadcast (ADS-B) flight data from the International Civil Aviation Organisation (ICAO).<br><br> The database provides measures of CO2 emissions on a territory basis, which is used for reporting in the UN Framework Convention on Climate Change (UNFCCC) inventories; and also on a residence basis, which is used to estimate the emissions of air transport (H51 in the International Standard Industrial Classification of All Economic Activities, or ISIC) in the Air Emission Accounts (AEAs). <br><br> Seven components of these CO2 emissions measures can be selected from the ‘Emissions ’ filter. In the tables, these are also shown with the letters A, B, C, D, E, F and G. The UNFCCC inventories and AEA air transport (ISIC H51) measures of CO2 emissions are calculated as: <ul> <li>Inventories: domestic aviation = A + C</li> <li>Inventories: international aviation (memo item) = D + G</li> <li>Air emissions accounts: air transport (ISIC H51) = A + B + D + E + F</li></ul> Three categories of flight are shown on the database: total flights, passenger flights, and freight flights. General aviation (non-freight flights with fewer than 19 passengers such as agricultural planes and private jets) is included with passenger flights.<br><br> The estimation methodology is described in the OECD Working Paper <a href=https://www.oecd-ilibrary.org/economics/co2-emissions-from-air-transport_ecc9f16b-en>CO2 Emissions from Air Transport - A Near-Real-Time Global Database for Policy Analysis.</a> and in the note <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5e7f76dc-9a98-4e9c-8d85-8985400e5dee>Air transport CO2 emissions methodology update</a>. Cette base de données fournit des estimations annuelles, trimestrielles et mensuelles des émissions de dioxyde de carbone (CO2) provenant des vols commerciaux de passagers, de fret et d'aviation générale. Les émissions sont estimées pour 186 pays par l'OCDE, sur la base d'une méthodologie cohérente entre les pays. À partir de 2019, les estimations sont compilées à partir des données de vol ADS-B (Automatic Dependent Surveillance-Broadcast) de l'Organisation de l'aviation civile internationale (OACI). La base de données fournit des mesures des émissions de CO2 sur une base territoriale, qui est utilisée pour la déclaration dans les inventaires de la Convention-cadre des Nations Unies sur les changements climatiques (CCNUCC) ; et également sur une base de résidence, qui est utilisée pour estimer les émissions du transport aérien (H51 dans la Classification internationale type par industrie de toutes les branches d'activité économique, ou CITI) dans les Comptes d'émissions atmosphériques (CEA). Sept composantes de ces mesures d'émissions de CO2 peuvent être sélectionnées dans le filtre "Emissions". Dans les tableaux, elles sont également indiquées par les lettres A, B, C, D, E, F et G. Les inventaires de la CCNUCC et les mesures des émissions de CO2 du transport aérien des CEA (CITI H51) sont calculés comme suit : - Inventaires : aviation domestique = A + C - Inventaires : aviation internationale (pour mémoire) = D + G - Comptes des émissions atmosphériques : transport aérien (CITI H51) = A + B + D + E + F Trois catégories de vols sont indiquées dans la base de données : vols totaux, vols de passagers et vols de fret. L'aviation générale (vols non-fret avec moins de 19 passagers, tels que les avions agricoles et les jets privés) est incluse dans les vols de passagers. Une description complète de la méthodologie d'estimation est fournie dans le <a href=https://www.oecd-ilibrary.org/economics/co2-emissions-from-air-transport_ecc9f16b-en>OECD Working Paper CO2 Emissions from Air Transport - A Near-Real-Time Global Database for Policy Analysis.</a> et dans la note <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5e7f76dc-9a98-4e9c-8d85-8985400e5dee>Air transport CO2 emissions methodology update</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MULT=0 NOT_DISPLAYED VESSEL=ALL_VESSELS,FREQ=M,UNIT_MEASURE=T_CO2E,TIME_PERIOD_START=2022-01 DEFAULT REF_AREA:OECD.SDD.NAD.SEEA:HCL_AREA(1.0).H HIER_CONTEXT Maritime transport CO2 emissions (experimental) Émissions de CO2 du transport maritime (expérimental) This experimental dataset includes annual, quarterly, and monthly information on carbon dioxide (CO2) emissions from maritime transport based on ship-tracking information collected via Automatic Identification System (AIS) transponders, covering all large vessels (above 300 gross tonnage) around the world, accessed via the United Nations Global Platform, from 2019 onwards. The CO2 emissions are estimated by the OECD, based on a consistent methodology across countries and include emissions from both domestic and international voyages.<br><br> The CO2 emissions are classified using the ship-type classification used by the International Maritime Organisation (IMO) distinguishing between 19 vessel categories such as bulk carriers, tankers, and cruise ships. <br><br> Allocation to countries is based on the residence of the companies that operate the ships. <br><br> A complete description of the methodology is provided in the OECD Working Paper <a href=https://www.oecd.org/publications/co2-emissions-from-global-shipping-bc2f7599-en.htm> CO2 emissions from global shipping.</a> Cet ensemble de données expérimentales comprend des informations annuelles, trimestrielles et mensuelles sur les émissions de dioxyde de carbone (CO2) provenant du transport maritime, basées sur les informations de suivi des navires collectées via les transpondeurs du système d'identification automatique (AIS), couvrant tous les grands navires (plus de 300 tonnes brutes) dans le monde, accessibles via la Plateforme mondiale des Nations Unies, à partir de 2019. Les émissions de CO2 sont estimées par l'OCDE, sur la base d'une méthodologie cohérente entre les pays, et comprennent les émissions des voyages nationaux et internationaux.<br><br> Les émissions de CO2 sont classées selon la classification des types de navires utilisés par l'Organisation maritime internationale (OMI), qui distingue 19 catégories de navires telles que les vraquiers, les pétroliers et les navires de croisière.<br><br> La répartition entre les pays est basée sur le lieu de résidence des compagnies qui exploitent les navires.<br><br> Une description complète de la méthodologie est fournie dans le document de travail de l'OCDE <a href=https://www.oecd.org/publications/co2-emissions-from-global-shipping-bc2f7599-en.htm> CO2 emissions from global shipping.</a> NonProductionDataflow true SEEA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN RESOURCE LAYOUT_ROW_SECTION REF_AREA=CAN,LASTNPERIODS=10 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Mineral and Energy Resources Ressources minérales et énergétiques This dataset contains environmental asset accounts for mineral and energy resources, describing the quantities of stocks in physical units (barrels in case of oil, cubic meters in case of gas, and tonnes in case of minerals) of these resources and the changes in stocks (flows) over accounting periods due to additions (discoveries, upward reappraisals, reclassifications) and reductions (extraction, downward reappraisals, reclassifications). <br><br> These accounts are compiled according to the System of Environmental-Economic Accounting (SEEA Central Framework (2012) distinguishing between three classes: commercially recoverable resources (Class A), potentially commercially recoverable resources (Class B) and non-commercial and other known deposits (Class C). The definition of these classes is based on the United Nations Framework Classification for Resources (UNFC 2019). Coverage consists of 14 commodities selected based on their economic and environmental significance.<br><br> A detailed mapping between the classifications used by countries and the SEEA-2012 classification into three classes (A, B and C) is available in the following <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c7f5f4ad-9b66-4b8c-a8b9-7a6775bd2a28>Excel file</a><br><br> More detailed information is available in the working paper: <a href=https://doi.org/10.1787/3fcfcd7f-en>Compiling mineral and energy resource accounts according to the System of Environmental-Economic Accounting (SEEA) 2012</a> Cet ensemble de données contient des comptes d'actifs environnementaux pour les ressources minérales et énergétiques, décrivant les quantités de stocks en unités physiques (barils dans le cas du pétrole, mètres cubes dans le cas du gaz et tonnes dans le cas des minéraux) de ces ressources et les variations des stocks (flux) au cours des périodes comptables en raison d'ajouts (découvertes, réévaluations à la hausse, reclassifications) et de réductions (extraction, réévaluations à la baisse, reclassifications).<br><br> Ces comptes sont compilés selon le cadre du Système de Comptabilité Environnementale et Economique (SEEA Central Framework) (2012) qui distingue trois classes : les ressources commercialement récupérables (classe A), les ressources potentiellement commercialement récupérables (classe B) et les gisements non commerciaux et autres gisements connus (classe C). La définition de ces classes est basée sur la Classification-Cadre des Nations Unies pour les ressources (CCNU 2019). La couverture comprend 14 produits sélectionnés en fonction de leur importance économique et environnementale.<br><br> Une correspondance détaillée entre les classifications utilisées par les pays et la classification SEEA-2012 en trois classes (A, B et C) est disponible dans le fichier Excel suivant : https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c7f5f4ad-9b66-4b8c-a8b9-7a6775bd2a28<br><br> Des informations plus détaillées sont disponibles dans le document de travail : <a href=https://doi.org/10.1787/3fcfcd7f-en>Compiling mineral and energy resource accounts according to the System of Environmental-Economic Accounting (SEEA) 2012</a> NonProductionDataflow true ENERGY_FLOWS LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA=FRA,ACTIVITY=ATU_HH+ATU+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+HH+_Z,STK_FLOW=ER_USE,TIME_PERIOD=2021 DEFAULT ACTIVITY:OECD.SDD.NAD.SEEA:HCL_ACTIVITY(1.3).H HIER_CONTEXT V2/structure/dataflow/OECD.SDD.NAD.SEEA/DSD_PEFA@DF_PEFAUSE,DSD_PEFA@DF_PEFASUP,DSD_PEFA_BR@DF_PEFABR/latest RELATED_DATA Physical Energy Flow Accounts: emissions-relevant use Physical Energy Flow Accounts: emissions-relevant use by activity This database records the emissions-relevant use of physical energy flows related to fuel combustion measured in terajoules. It describes the use of energy from natural inputs, energy products, and energy residuals by the economy and environment. It relates to emissions resulting from use of energy products for combustion in production and consumption activities of industries and households. The use of natural energy inputs may be emissions-relevant in certain cases, such as the flaring of natural gas. The use of energy residuals may be emission-relevant in the case of using waste for energy recovery. The table below provides a general overview of the information contained within the use table <a href="https://seea.un.org/sites/seea.un.org/files/documents/seea-energy_final_web.pdf">(SEEA Energy Table 2.1)</a>.<br><br> <table><tr><th style="background-color:#c0e0f0"></th><th style="background-color:#c0e0f0">Industries</th><th style="background-color:#c0e0f0">Households</th><th style="background-color:#c0e0f0">Changes in inventories</th><th style="background-color:#c0e0f0">Exports</th><th style="background-color:#c0e0f0">Environment</th><th style="background-color:#c0e0f0">Total</th></tr><tr><td style="background-color:#c0e0f0"><b>Energy from natural inputs</b></td><td style="background-color:#e6f7ff">Extraction of energy from natural inputs</td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Total use of energy from natural inputs</td></tr><tr><td style="background-color:#c0e0f0"><b>Energy products</b></td><td style="background-color:#e6f7ff">Intermediate consumption</td><td style="background-color:#e6f7ff">Household consumption</td><td style="background-color:#e6f7ff">Changes in inventories</td><td style="background-color:#e6f7ff">Exports</td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Total use of energy products</td></tr><tr><td style="background-color:#c0e0f0"><b>Energy residuals</b></td><td style="background-color:#e6f7ff">Collection and treatment of residuals</td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Accumulation of residuals</td><td style="background-color:#e6f7ff">Exported residuals</td><td style="background-color:#e6f7ff">Residual flows direct to environment</td><td style="background-color:#e6f7ff">Total use of energy residuals</td></tr></table><br> The total use of energy from natural inputs, products, and residuals is equal to the sum of use from domestic industries and households, exports, changes in inventories, and residual flows to the environment. <br><br> The International Standard Industrial Classification of All Economic Activities (ISIC) is used to delineate activities from industries and households. The data are compiled in line with the System of Environmental-Economic Accounting (SEEA) Central Framework. Data reported by the relevant national statistical authorities are available on an annual basis. Data for European countries are collected by Eurostat. This database records the emissions-relevant use of physical energy flows related to fuel combustion measured in terajoules. It describes the use of energy from natural inputs, energy products, and energy residuals by the economy and environment. The table below provides a general overview of the information contained within the use table <a href="https://seea.un.org/sites/seea.un.org/files/documents/seea-energy_final_web.pdf">(SEEA Energy Table 2.1)</a>.<br><br> <table><tr><th style="background-color:#c0e0f0"></th><th style="background-color:#c0e0f0">Industries</th><th style="background-color:#c0e0f0">Households</th><th style="background-color:#c0e0f0">Changes in inventories</th><th style="background-color:#c0e0f0">Exports</th><th style="background-color:#c0e0f0">Environment</th><th style="background-color:#c0e0f0">Total</th></tr><tr><td style="background-color:#c0e0f0"><b>Energy from natural inputs</b></td><td style="background-color:#e6f7ff">Extraction of energy from natural inputs</td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Total use of energy from natural inputs</td></tr><tr><td style="background-color:#c0e0f0"><b>Energy products</b></td><td style="background-color:#e6f7ff">Intermediate consumption</td><td style="background-color:#e6f7ff">Household consumption</td><td style="background-color:#e6f7ff">Changes in inventories</td><td style="background-color:#e6f7ff">Exports</td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Total use of energy products</td></tr><tr><td style="background-color:#c0e0f0"><b>Energy residuals</b></td><td style="background-color:#e6f7ff">Collection and treatment of residuals</td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Accumulation of residuals</td><td style="background-color:#e6f7ff">Exported residuals</td><td style="background-color:#e6f7ff">Residual flows direct to environment</td><td style="background-color:#e6f7ff">Total use of energy residuals</td></tr></table><br> The total use of energy from natural inputs, products, and residuals is equal to the sum of use from domestic industries and households, exports, changes in inventories, and residual flows to the environment. <br><br> The International Standard Industrial Classification of All Economic Activities (ISIC) is used to delineate activities from industries and households. The data are compiled in line with the System of Environmental-Economic Accounting (SEEA) Central Framework. Data reported by the relevant national statistical authorities are available on an annual basis. Data for European countries are collected by Eurostat. NonProductionDataflow true ENERGY_FLOWS LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA=CRI,ACTIVITY=ATU_HH+ATU+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+HH+_Z,STK_FLOW=SUP,TIME_PERIOD_START=2020 DEFAULT ACTIVITY:OECD.SDD.NAD.SEEA:HCL_ACTIVITY(1.3).H HIER_CONTEXT V2/structure/dataflow/OECD.SDD.NAD.SEEA/DSD_PEFA_BR@DF_PEFABR,DSD_PEFA@DF_PEFAUSE,DSD_PEFA@DF_PEFAERUSE/latest RELATED_DATA Physical Energy Flow Accounts: supply by activity Physical Energy Flow Accounts: supply by activity This database records the supply of physical energy flows measured in terajoules. It describes the supply of energy from natural inputs, energy products, and energy residuals by the economy and environment. The table below provides a general overview of the information contained within the supply table <a href="https://seea.un.org/sites/seea.un.org/files/documents/seea-energy_final_web.pdf">(SEEA Energy Table 2.1)</a>.<br><br> <table><tr><th style="background-color:#c0e0f0"></th><th style="background-color:#c0e0f0">Industries</th><th style="background-color:#c0e0f0">Households</th><th style="background-color:#c0e0f0">Changes in inventories</th><th style="background-color:#c0e0f0">Imports</th><th style="background-color:#c0e0f0">Environment</th><th style="background-color:#c0e0f0">Total</th></tr><tr><td style="background-color:#c0e0f0"><b>Energy from natural inputs</b></td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Energy inputs from the environment</td><td style="background-color:#e6f7ff">Total supply of energy from natural inputs</td></tr><tr><td style="background-color:#c0e0f0"><b>Energy products</b></td><td style="background-color:#e6f7ff">Output</td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Imports</td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Total supply of energy products</td></tr><tr><td style="background-color:#c0e0f0"><b>Energy residuals</b></td><td style="background-color:#e6f7ff">Residuals generated by industry</td><td style="background-color:#e6f7ff">Residuals generated by household consumption</td><td style="background-color:#e6f7ff">Residuals from accumulation</td><td style="background-color:#e6f7ff">Imported residuals</td><td style="background-color:#e6f7ff">Residuals recovered from the environment</td><td style="background-color:#e6f7ff">Total supply of energy residuals</td></tr></table><br> The total supply of energy from natural inputs, products, and residuals is equal to the sum of supply from the environment, domestic industries and households, imports, and changes in inventories. <br><br> The International Standard Industrial Classification of All Economic Activities (ISIC) is used to delineate activities from industries and households. The data are compiled in line with the System of Environmental-Economic Accounting (SEEA) Central Framework. Data reported by the relevant national statistical authorities are available on an annual basis. Data for European countries are collected by Eurostat. This database records the supply of physical energy flows measured in terajoules. It describes the supply of energy from natural inputs, energy products, and energy residuals by the economy and environment. The table below provides a general overview of the information contained within the supply table <a href="https://seea.un.org/sites/seea.un.org/files/documents/seea-energy_final_web.pdf">(SEEA Energy Table 2.1)</a>.<br><br> <table><tr><th style="background-color:#c0e0f0"></th><th style="background-color:#c0e0f0">Industries</th><th style="background-color:#c0e0f0">Households</th><th style="background-color:#c0e0f0">Changes in inventories</th><th style="background-color:#c0e0f0">Imports</th><th style="background-color:#c0e0f0">Environment</th><th style="background-color:#c0e0f0">Total</th></tr><tr><td style="background-color:#c0e0f0"><b>Energy from natural inputs</b></td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Energy inputs from the environment</td><td style="background-color:#e6f7ff">Total supply of energy from natural inputs</td></tr><tr><td style="background-color:#c0e0f0"><b>Energy products</b></td><td style="background-color:#e6f7ff">Output</td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Imports</td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Total supply of energy products</td></tr><tr><td style="background-color:#c0e0f0"><b>Energy residuals</b></td><td style="background-color:#e6f7ff">Residuals generated by industry</td><td style="background-color:#e6f7ff">Residuals generated by household consumption</td><td style="background-color:#e6f7ff">Residuals from accumulation</td><td style="background-color:#e6f7ff">Imported residuals</td><td style="background-color:#e6f7ff">Residuals recovered from the environment</td><td style="background-color:#e6f7ff">Total supply of energy residuals</td></tr></table><br> The total supply of energy from natural inputs, products, and residuals is equal to the sum of supply from the environment, domestic industries and households, imports, and changes in inventories. <br><br> The International Standard Industrial Classification of All Economic Activities (ISIC) is used to delineate activities from industries and households. The data are compiled in line with the System of Environmental-Economic Accounting (SEEA) Central Framework. Data reported by the relevant national statistical authorities are available on an annual basis. Data for European countries are collected by Eurostat. NonProductionDataflow true ENERGY_FLOWS LAYOUT_ROW TRANSACTION,ACTIVITY LAYOUT_COLUMN REF_AREA=CRI,ACTIVITY=ATU_HH+ATU+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+HH+_Z,STK_FLOW=USE,TIME_PERIOD_START=2020 DEFAULT ACTIVITY:OECD.SDD.NAD.SEEA:HCL_ACTIVITY(1.3).H HIER_CONTEXT V2/structure/dataflow/OECD.SDD.NAD.SEEA/DSD_PEFA@DF_PEFAERUSE,DSD_PEFA@DF_PEFASUP,DSD_PEFA_BR@DF_PEFABR/latest RELATED_DATA Physical Energy Flow Accounts: use by activity Physical Energy Flow Accounts: use by activity This database records the use of physical energy flows measured in terajoules. It describes the use of energy from natural inputs, energy products, and energy residuals by the economy and environment. The table below provides a general overview of the information contained within the use table <a href="https://seea.un.org/sites/seea.un.org/files/documents/seea-energy_final_web.pdf">(SEEA Energy Table 2.1)</a>.<br><br> <table><tr><th style="background-color:#c0e0f0"></th><th style="background-color:#c0e0f0">Industries</th><th style="background-color:#c0e0f0">Households</th><th style="background-color:#c0e0f0">Changes in inventories</th><th style="background-color:#c0e0f0">Exports</th><th style="background-color:#c0e0f0">Environment</th><th style="background-color:#c0e0f0">Total</th></tr><tr><td style="background-color:#c0e0f0"><b>Energy from natural inputs</b></td><td style="background-color:#e6f7ff">Extraction of energy from natural inputs</td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Total use of energy from natural inputs</td></tr><tr><td style="background-color:#c0e0f0"><b>Energy products</b></td><td style="background-color:#e6f7ff">Intermediate consumption</td><td style="background-color:#e6f7ff">Household consumption</td><td style="background-color:#e6f7ff">Changes in inventories</td><td style="background-color:#e6f7ff">Exports</td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Total use of energy products</td></tr><tr><td style="background-color:#c0e0f0"><b>Energy residuals</b></td><td style="background-color:#e6f7ff">Collection and treatment of residuals</td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Accumulation of residuals</td><td style="background-color:#e6f7ff">Exported residuals</td><td style="background-color:#e6f7ff">Residual flows direct to environment</td><td style="background-color:#e6f7ff">Total use of energy residuals</td></tr></table><br> The total use of energy from natural inputs, products, and residuals is equal to the sum of use from domestic industries and households, exports, changes in inventories, and residual flows to the environment. <br><br> The International Standard Industrial Classification of All Economic Activities (ISIC) is used to delineate activities from industries and households. The data are compiled in line with the System of Environmental-Economic Accounting (SEEA) Central Framework. Data reported by the relevant national statistical authorities are available on an annual basis. Data for European countries are collected by Eurostat. This database records the use of physical energy flows measured in terajoules. It describes the use of energy from natural inputs, energy products, and energy residuals by the economy and environment. The table below provides a general overview of the information contained within the use table <a href="https://seea.un.org/sites/seea.un.org/files/documents/seea-energy_final_web.pdf">(SEEA Energy Table 2.1)</a>.<br><br> <table><tr><th style="background-color:#c0e0f0"></th><th style="background-color:#c0e0f0">Industries</th><th style="background-color:#c0e0f0">Households</th><th style="background-color:#c0e0f0">Changes in inventories</th><th style="background-color:#c0e0f0">Exports</th><th style="background-color:#c0e0f0">Environment</th><th style="background-color:#c0e0f0">Total</th></tr><tr><td style="background-color:#c0e0f0"><b>Energy from natural inputs</b></td><td style="background-color:#e6f7ff">Extraction of energy from natural inputs</td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Total use of energy from natural inputs</td></tr><tr><td style="background-color:#c0e0f0"><b>Energy products</b></td><td style="background-color:#e6f7ff">Intermediate consumption</td><td style="background-color:#e6f7ff">Household consumption</td><td style="background-color:#e6f7ff">Changes in inventories</td><td style="background-color:#e6f7ff">Exports</td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Total use of energy products</td></tr><tr><td style="background-color:#c0e0f0"><b>Energy residuals</b></td><td style="background-color:#e6f7ff">Collection and treatment of residuals</td><td style="background-color:#ccc"></td><td style="background-color:#e6f7ff">Accumulation of residuals</td><td style="background-color:#e6f7ff">Exported residuals</td><td style="background-color:#e6f7ff">Residual flows direct to environment</td><td style="background-color:#e6f7ff">Total use of energy residuals</td></tr></table><br> The total use of energy from natural inputs, products, and residuals is equal to the sum of use from domestic industries and households, exports, changes in inventories, and residual flows to the environment. <br><br> The International Standard Industrial Classification of All Economic Activities (ISIC) is used to delineate activities from industries and households. The data are compiled in line with the System of Environmental-Economic Accounting (SEEA) Central Framework. Data reported by the relevant national statistical authorities are available on an annual basis. Data for European countries are collected by Eurostat. NonProductionDataflow true BRIDGE_ITEMS LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA=CRI DEFAULT V2/structure/dataflow/OECD.SDD.NAD.SEEA/DSD_PEFA@DF_PEFAUSE,DSD_PEFA@DF_PEFAERUSE,DSD_PEFA@DF_PEFASUP/latest RELATED_DATA Physical Energy Flow Accounts: bridging to energy balances Physical Energy Flow Accounts: bridging to energy balances This dataset presents the Physical Energy Flow Accounts (PEFA) bridging items. It shows the various elements making up the difference between the domestic energy use derived from energy accounts (residence principle) and the gross inland energy consumption derived from energy balances (territory principle). The following positions constitute the 'bridge' from the residence principle indicator to the territory based indicator: domestic energy use by resident units - activities by national residents abroad + activities by non-residents on the territory +/- other adjustments and statistical discrepancies. Data reported by the relevant national statistical authorities are available on an annual basis. Data for European countries are collected by Eurostat. This dataset presents the Physical Energy Flow Accounts (PEFA) bridging items. It shows the various elements making up the difference between the domestic energy use derived from energy accounts (residence principle) and the gross inland energy consumption derived from energy balances (territory principle). The following positions constitute the 'bridge' from the residence principle indicator to the territory based indicator: domestic energy use by resident units - activities by national residents abroad + activities by non-residents on the territory +/- other adjustments and statistical discrepancies. Data reported by the relevant national statistical authorities are available on an annual basis. Data for European countries are collected by Eurostat. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA=CRI,ACTIVITY=ATU_HH DEFAULT ACTIVITY:OECD.SDD.NAD.SEEA:HCL_ACTIVITY(1.3).H HIER_CONTEXT V2/structure/dataflow/OECD.SDD.NAD.SEEA/DSD_PEFA@DF_PEFAUSE,DSD_PEFA@DF_PEFAERUSE,DSD_PEFA@DF_PEFASUP,DSD_PEFA_BR@DF_PEFABR/latest RELATED_DATA Physical Energy Flow Accounts: key indicators Physical Energy Flow Accounts: key indicators This dataset presents key Physical Energy Flow Accounts (PEFA) indicators. They are derived from the supply and use tables which record physical flows through the compilation of supply and use tables. They describe how an economy supplies and uses energy products and can be used to assess changes in production and consumption activities over time. The flows of energy are grouped into natural energy inputs (flows from environment to economy), energy products (flows within economy), and energy residuals (flows from economy to environment mainly). The data are compiled in line with the System of Environmental-Economic Accounting (SEEA) Central Framework. Data reported by the relevant national statistical authorities are available on an annual basis. Data for European countries are collected by Eurostat. This dataset presents key Physical Energy Flow Accounts (PEFA) indicators. They are derived from the supply and use tables which record physical flows through the compilation of supply and use tables. They describe how an economy supplies and uses energy products and can be used to assess changes in production and consumption activities over time. The flows of energy are grouped into natural energy inputs (flows from environment to economy), energy products (flows within economy), and energy residuals (flows from economy to environment mainly). The data are compiled in line with the System of Environmental-Economic Accounting (SEEA) Central Framework. Data reported by the relevant national statistical authorities are available on an annual basis. Data for European countries are collected by Eurostat. NonProductionDataflow true TEST - Main Economic Indicators Publication TEST - Main Economic Indicators Publication NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS,CONF_STATUS LAYOUT_FLAG DD_DIM DRILLDOWN PRODUCT,OBS_VALUE DRILLDOWN_CONCEPTS DD_DIM,DD_ID NOT_DISPLAYED DD_DIM=_T DEFAULT PRODUCT:OECD.SDD.SDPS:HCL_PRODUCT_DD_HCL(1.0).H HIER_CONTEXT DD HCL order hierarcy test <div>OECD statistics contact:&nbsp;<a href="mailto:stat.contact@oecd.org">stat.contact@oecd.org</a></div><div><a href="http://www.oecd.org/sdd">http://www.oecd.org/sdd</a></div><div>The currency unit used for all series is:<br />Millions of US dollars.</div><div>The OECD-WTO Balanced Trade in Services (BaTIS) dataset is a complete, consistent and balanced matrix of international trade in services statistics (ITSS). It contains annual bilateral data covering 202 reporters and partners, broken down by the 12 main EBOPS2010 (BPM6) categories.<br />BaTIS is the result of joint efforts by the OECD and WTO. Two main features enable BaTIS to stand out as the international benchmark for any analysis on international trade in services:<br />I. BaTIS is complete and consistent. At present, only about 63% of world trade in services is bilaterally specified, and the percentage is even lower for the individual service categories. The OECD-WTO methodology leverages all available official statistics and combines them with estimations and adjustments to provide users with a complete matrix covering virtually all economies in the world.<br />II. BaTIS is balanced. To resolve the asymmetries between reported and mirror flows, exports and imports are reconciled by calculating a symmetry-index weighted average between the two, following a similar approach to that developed for international merchandise trade statistics.</div><div>The dataset includes three core variables:<br />- Reported value, which reflects the value officially reported by the country (where available);<br />- Reported value including estimates, which reflects, in addition to the reported values, any adjustments made to ensure internal consistency as well as the estimations made by the OECD-WTO to fill in the gaps in the reported information; and:<br />- Final balanced value, which reflects the reconciled bilateral trade flow, where exports equal mirror imports.</div><div>Official information on bilateral trade flows was collected from OECD, Eurostat, national sources as well as UNSD. The WTO-UNCTAD trade in services dataset, based on a number of primary sources complemented with estimations, was the main source for data with partner world.</div><div>The BaTIS dataset can be used as a stand-alone input for economic analysis and policy-making. In addition, balanced trade in services data form an essential input to the OECD Trade in Value Added (TiVA) initiative, for which a balanced view of international trade is crucial.<br />BaTIS is intended to be regularly updated and constantly improved as new data become available. The present version of dataset covers the years 2005-2021.</div></p><p><a href="https://www.oecd.org/sdd/its/OECD-WTO-Balanced-Trade-in-Services-database-methodology-BPM6.pdf">The methodology followed to build the dataset is detailed in the accompanying paper</a><br /><a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=d9c1aad4-a462-4157-a8ad-c60b58ccd980">The dataset is also available for bulk download, with its corresponding explanatory file (see related files)</a><br /><a href="https://www.oecd.org/sdd/its/balanced-trade-statistics.htm">Click here to access the dedicated webpage to OECD Balanced Trade Statistics</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A,ACTIVITY=_Z,TRANSFORMATION=_Z,ADJUSTMENT=_Z,UNIT_MEASURE=GR NOT_DISPLAYED FREQ=M,MEASURE=PRVM,UNIT_MEASURE=IX,ACTIVITY=BTE DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,UNIT_MULT,TRANSFORMATION,ADJUSTMENT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Key short-term economic indicators Indicateurs économiques clés à court-terme The Key Economic Indicators (KEI) database contains monthly and quarterly statistics (and associated statistical methodological information) for all OECD member countries and for a selection of non-member countries on a wide variety of economic indicators, namely: quarterly national accounts, industrial production, composite leading indicators, business tendency and consumer opinion surveys, retail trade, consumer and producer prices, hourly earnings, employment/unemployment, interest rates, monetary aggregates, exchange rates, international trade and balance of payments.<p />Indicators have been prepared by national statistical agencies primarily to meet the requirements of users within their own country. In most instances, the indicators are compiled in accordance with international statistical guidelines and recommendations. However, national practices may depart from these guidelines, and these departures may impact on comparability between countries. There is an on-going process of review and revision of the contents of the database in order to maximise the relevance of the database for short-term economic analysis.<p /><a href=mailto:stat.contact@oecd.org>OECD statistics contact</a><p /><a href="http://www.oecd.org/sdd">Statistics and Data Directorate</a> La base de données des indicateurs économiques clés (IEC) contient, pour tous les pays membres de l'OCDE et une sélection des économies non membres, des statistiques mensuelles et trimestrielles (ainsi que des notes méthodologiques associées à ces statistiques) sur une grande variété d'indicateurs économiques, tels que les comptes nationaux trimestriels, la production industrielle, les indicateurs composites avancés, les enquêtes de conjoncture auprès des entreprises et des ménages, le commerce de détail, les prix à la consommation et à la production, les gains horaires, l'emploi et le chômage, les taux d'intérêt, les agrégats monétaires, les taux de change, le commerce international et la balance des paiements.<p />Les indicateurs sont avant tout calculés par les agences statistiques nationales de manière à satisfaire leurs propres besoins. Dans la plupart des cas, ces indicateurs sont calculés en tenant compte des recommandations et des standards statistiques internationaux. Cependant, les pratiques nationales peuvent s'écarter de ces standards internationaux et ces écarts peuvent avoir un impact quant à la comparaison entre pays. Le contenu de cette base de données est en permanence revu et corrigé afin d'améliorer sa pertinence pour l'analyse économique à court-terme.<p /><a href=mailto:stat.contact@oecd.org>Contact pour les statistiques de l'OCDE</a><p /><a href="http://www.oecd.org/sdd">Direction des statistiques et des données</a> NonProductionDataflow true ACTIVITY,MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TIME_HORIZ LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,METHODOLOGY=N NOT_DISPLAYED REF_AREA=FRA,FREQ=M DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,ADJUSTMENT,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Business tendency surveys Opinions des industriels Business Tendency Surveys (BTS) – also called business opinion or business climate surveys – are economic surveys used to monitor and forecast business cycles. Covering 4 different economic sectors (manufacturing, construction, retail trade and services), they are designed to collect qualitative information useful in monitoring the current business situation and forecasting short-term developments by directly asking company managers about the pulse of their businesses. They are well known for providing advance warning of turning points in aggregate economic activity as measured by GDP or industrial production. As respondents provide answers on a 3 scale options (up, same, down, or above normal, normal, below normal), data are summarised in net balances corresponsing to the difference in % of positive over negative replies. Because of their collection mode, timeliness and immediate availability, they have proved to be a cost‑effective mean of generating timely information especially during crises. In the late '90, in collaboration with the European Commission, the OECD has developed a system of harmonised business tendency surveys in order to collect and compare data across countries. The EC Directorate General for Economic and Financial Affairs is since then in charge of running the program and collecting data across EU members, while the OECD helped the adoption and implementation of the same harmonised framework in non-EU OECD countries and BRIICS. By construction, BTS questions are formulated in order to exclude seasonal factors. Nevertheless all series are tested for seasonality by both the OECD (using x12) and by the EC for the EU member data (using DAINTIES). This dataset comprises a set of harmonised target indicators available across OECD and BRIICS countries, any departure from target definitions are documented in the metadata. Les enquêtes sur les tendances des entreprises (BTS) - également appelées enquêtes sur l'opinion des entreprises ou enquêtes sur le climat des affaires - sont des enquêtes économiques utilisées pour suivre et prévoir les cycles économiques. Couvrant quatre secteurs économiques différents (l'industrie manufacturière, la construction, le commerce de détail et les services), elles sont conçues pour collecter des informations qualitatives utiles pour surveiller la situation actuelle des entreprises et la prévision de leur évolution à court terme, en interrogeant directement les chefs d'entreprise sur le pouls de leur activité. Elles sont bien connues pour avertir à l'avance des tournants de l'activité économique globale, mesurée par le PIB ou la production industrielle. Comme les répondants donnent des réponses sur une échelle de trois options (en hausse, identique, en baisse, ou au-dessus de la normale, normale, en dessous de la normale), les données sont résumées en soldes nets correspondant à la différence en % de réponses positives par rapport aux réponses négatives. En raison de leur mode de collecte, de leur actualité et de leur disponibilité immédiate, elles se sont avérées être un moyen rentable de produire des informations opportunes, en particulier pendant les crises. À la fin des années 1990, en collaboration avec la Commission européenne, l'OCDE a mis au point un système d'enquêtes harmonisées sur les tendances des entreprises afin de collecter et de comparer les données entre les pays. La Direction générale des affaires économiques et financières de la CE est depuis lors chargée de la gestion du programme et de la collecte des données dans les pays membres de l'UE, tandis que l'OCDE a contribué à l'adoption et la mise en œuvre du même cadre harmonisé dans les pays de l'OCDE non membres de l'UE et les BRIICS. Par construction, les questions du BTS sont formulées de manière à exclure les facteurs saisonniers. Néanmoins, toutes les séries sont testées pour la saisonnalité à la fois par l'OCDE (en utilisant x12) et par la CE pour les données des États membres de l'UE (à l'aide de DAINTIES). Ce jeu de données comprend un ensemble d'indicateurs cibles harmonisés disponibles dans les pays de l'OCDE et les pays BRIICS. Tout écart par rapport aux définitions des objectifs est documenté dans les métadonnées. NonProductionDataflow true TIME_PERIOD LAYOUT_ROW REF_AREA LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A,UNIT_MEASURE=IX,METHODOLOGY=N NOT_DISPLAYED MEASURE=LI,ADJUSTMENT=AA,FREQ=M,METHODOLOGY=H,LASTNPERIODS=10 DEFAULT COMBINED_UNIT_MEASURE:TRANSFORMATION,ADJUSTMENT,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Composite leading indicators Indicateurs composites avancés The composite leading indicator is a times series, formed by aggregating a variety of component indicators which show a reasonably consistent relationship with a reference series (e.g. industrial production IIP up to March 2012 and since then the reference series is GDP) at turning points. The OECD CLI is designed to provide qualitative information on short-term economic movements, especially at the turning points, rather than quantitative measures. Therefore, the main message of CLI movements over time is the increase or decrease, rather than the amplitude of the changes. The OECD’s headline indicator is the amplitude adjusted CLI. In practice, turning points in the de-trended reference series have been found about 4 to 8 months (on average) after the signals of turning points had been detected in the headline CLI. Detailed information on the OECD methodology for CLIs can be found on the OECD website at: <a href="https://www.oecd.org/sdd/leading-indicators/oecd-composite-leading-indicators-clis.htm/">OECD CLIs</a><p />CLIs are calculated for G20 countries plus Spain and 5 zone aggregates. A country CLI comprises a set of component series selected from a wide range of key short-term economic indicators. CLIs, reference series data (see below) and standardised business and consumer confidence indicators are presented in various forms. <p /><a href="http://www.oecd.org/std/leading-indicators/41629509.pdf">OECD CLI methodology document</a><p /><a href=mailto:stat.contact@oecd.org>OECD statistics contact</a><p /> L'indicateur composite avancé est une série temporelle, constituée par l'agrégation d'un ensemble d'indicateurs composants, qui met en évidence une relation cohérente et consistente aux points de retournements avec une série de référence (l’indice de la production industrielle jusqu'en mars 2012 et depuis c'est le PIB qui représente la série de référence). Les indicateurs composites avancés de l'OCDE ont été élaborés pour fournir des informations qualitatives sur les évolutions économiques à court terme, en particulier aux points de retournement, plutôt que des mesures quantitatives. Par conséquent, le message principal des indicateurs composites avancés est dans la direction de leurs mouvements au cours du temps plutôt que dans l'amplitude de ces mouvements. L’OCDE s’intéresse principalement à la forme « corrigée de l’amplitude » de l’indicateur composite avancé. En pratique, les points de retournement de la série de référence corrigée de la tendance sont observés environ 4 à 8 mois (en moyenne) après que les signaux des points de retournement ont été détectés à l’aide de l’indicateur composite avancé sous sa forme corrigée de l’amplitude. Des informations détaillées sur la méthodologie de l'OCDE pour les indicateurs composites avancés sont disponibles sur le site Internet de l'OCDE à l'adresse: <a href="https://www.oecd.org/sdd/leading-indicators/oecd-composite-leading-indicators-clis.htm">ICA OCDE</a><p /> Les indicateurs composites avancés sont calculés pour pour les pays du G20 plus l'Espagne et pour cinq zones. Pour plus d’information sur l’interprétation et la comparabilité de ces différentes formes veuillez vous référer à la note méthodologique: Le système des indicateurs composites avancés: <a href="http://www.oecd.org/std/leading-indicators/41629509.pdf">indicateurs composites avancés</a><p /><a href=mailto:stat.contact@oecd.org>Contact pour les statistiques de l'OCDE</a><p /> NonProductionDataflow true REF_AREA,ACTIVITY,MEASURE,TIME_HORIZ,SOURCE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A,METHODOLOGY=N NOT_DISPLAYED MEASURE=CCICP,FREQ=M DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,ADJUSTMENT,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Consumer opinion surveys Opinions des ménages The consumer opinion survey indicators cover a restricted set of indicators on consumer confidence, expected economic situation and price expectations.<p />Consumer opinion surveys provide qualitative information that has proved useful for monitoring the current economic situation. Typically they are based on a sample of households and respondents are asked about their assessments of the current situation and expectations for the immediate future. In the case of consumer surveys their intentions concerning major purposes, economic situation now compared with the recent past and expectations for the immediate future. Many survey series provide advance warning of turning points in aggregate economic activity as measured by GDP or industrial production. Such series are known as leading indicators in cyclical analysis. These types of survey series are widely used as component series in composite leading indicators. The main characteristic of these types of surveys is that instead of asking for exact figures, they usually ask for the direction of change e.g. a question on tendency by reference to a “normal” state, e.g. of production level. Possible answers are generally of the five point scale type e.g. increase sharply/increase slightly/remain the same/fall slightly/fall sharply for consumer surveys. In presenting the results as a time series, only the balance is shown. That is “same” or “normal” answers are ignored and the balance is obtained by taking the difference between percentages of respondents giving favourable and unfavourable answers.Virtually all consumer opinion survey data are presented as time series of balances in this dataset, either in raw or seasonally adjusted form. Very few series are presented as indices, and where these exist they have generally been converted from underlying balances by countries before submitting the data to the OECD.<p /><a href=mailto:stat.contact@oecd.org>OECD statistics contact</a><p /><a href="http://www.oecd.org/sdd">Statistics and Data Directorate</a> Les indicateurs des enquêtes de conjoncture auprès des ménages regroupent un ensemble restreint d'indicateurs sur la confiance des consommateurs, les attentes de la situation économique et les attentes sur l'évolution des prix.<p />Les enquêtes d'opinions auprès des ménages fournissent une information qualitative qui a fait ses preuves pour l'observation de la situation économique actuelle. Par définition, elles sont issues d'un échantillon de ménages et les répondants sont questionnés sur leur évaluation de la situation courante et des perspectives pour le futur immédiat. Dans le cas des ménages, les enquêtes s'intéressent à leurs intentions concernant leurs achats importants, leur situation économique actuelle comparée avec celle d'un passé récent ainsi que leurs attentes pour le futur immédiat. Beaucoup de séries d'enquête fournissent une alerte en avance des points de retournement de l'ensemble de l'activité économique mesurée par le PIB ou par la production industrielle. De telles séries sont connues sous le nom d'indicateurs avancés en analyse cyclique. Ces enquêtes de conjoncture sont largement utilisées en tant que composantes des indicateurs composites avancés. La caractéristique principale de ces enquêtes est qu'au lieu de demander des chiffres précis, il est généralement demandé la direction du changement i.e. une question sur la tendance par rapport à un état dit " normal " utilisé comme point de référence i.e. le niveau de la production. Les possibilités de réponse sont généralement au nombre de cinq pour les enquêtes auprès des ménages i.e. augmentera nettement/augmentera un peu/ restera stationnaire/diminuera un peu/diminuera nettement. Seuls les soldes sont publiés en séries temporelles. De ce fait, les réponses " identique " ou " normal " ne sont pas prises en compte et les soldes sont obtenus en prenant la différence entre les pourcentages de répondants donnant une réponse favorable et ceux donnant une réponse défavorable. Toutes les données des enquêtes de conjoncture auprès des ménages sont donc présentées sous la forme de séries temporelles de soldes brutes ou corrigées des variations saisonnières. Peu de séries sont présentées sous la forme d'indice, et quand c'est le cas, ces séries ont été converties en indice par les pays avant leurs soumissions de leurs données auprès de l'OCDE.<p /><a href=mailto"stat.contact@oecd.org"><Contact pour les statistiques de l'OCDE></a><p /><a href="http://www.oecd.org/sdd"></a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A,UNIT_MEASURE=GR,METHODOLOGY=H NOT_DISPLAYED COMBINED_UNIT_MEASURE:TRANSFORMATION,ADJUSTMENT,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Consumer barometer Baromètre des ménages The OECD Consumer Barometer corresponds to the monthly growth rate of the normalised consumer confidence indicator (CCI), computed as the average of: i) financial situation over the past 12 months , ii) financial situation over the next 12 months, iii) the general economic situation over the next 12 months and iv) major purchases over the 12 next months. Normalisation is achieved by subtracting from the CCI its mean and dividing by its standard deviation. A value of 100 is added for rescaling purposes. In this form, an OECD Consumer Barometer reading greater than 100 signals a boost in consumer confidence towards the future, indicating an attitude to spend more on major purchases in the coming year, complemented by a modest propensity to save. Conversely, values below 100 indicate a pessimistic approach towards future developments in the economy, valuing saving over consumption. <p /><a href=mailto:stat.contact@oecd.org>OECD statistics contact</a><p /><a href="http://www.oecd.org/sdd">Statistics and Data Directorate</a> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A,METHODOLOGY=N NOT_DISPLAYED REF_AREA=AUS,FREQ=M,UNIT_MEASURE=PA DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Financial market Marché financier Financial Indicators aim to capture in quantitative terms an important but heterogeneous and fast evolving area. Key factors driving this change are: globalisation of the financial markets; maturing of national financial markets and therefore the structure of these markets required to service their needs; increased sophistication of the actors in these markets; rapid technological change; and evolving regulatory frameworks. Financial institutions react and adapt to these conditions by changing their strategies; by specialising, by diversifying or concentrating their activities, and by extending through mergers and acquisitions. As a consequence, there is almost constant evolution in the institutional structures in which financial markets operate.<p /><a href=mailto:stat.contact@oecd.org>OECD statistics contact</a><p /><a href="http://www.oecd.org/sdd">Statistics and Data Directorate</a> Les indicateurs financiers visent à capturer, en terme quantitatif, un secteur important, hétérogène et en évolution rapide. Les facteurs clés de ce changement sont : la mondialisation des marchés financiers ; la maturité des marchés financiers nationaux et leur structure nécessaire pour satisfaire leurs besoins ; une plus grande sophistication des acteurs sur ces marchés ; une évolution technologique rapide ; et des cadres de réglementation en évolution. Les institutions financières réagissent et s'adaptent à ces conditions en changeant leurs stratégies ; par la spécialisation, la diversification ou la concentration de leurs activités, et par extension par des fusions et des acquisitions. Par conséquent, les marchés financiers fonctionnent dans des structures institutionnelles en évolution permanente.<p /><a href=mailto:stat.contact@oecd.org>Contact pour les statistiques de l'OCDE</a><p /><a href="http://www.oecd.org/sdd">Direction des statistiques et des données</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A,METHODOLOGY=N NOT_DISPLAYED MEASURE=PRVM,FREQ=M DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,ADJUSTMENT,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure 10000 MAX_TABLE_DATA Production, sales, work started and orders Production, ventes, mise en chantiers et commandes The Production and Sales dataset contains industrial statistics on four separate subjects: Production; Sales; Orders; and Work started. The data series presented within these subjects have been chosen as the most relevant industrial statistics for which comparable data across countries is available. For Production, data comprise Indices of industrial production (IIP) for total industry, manufacturing, energy and crude petroleum; and further disaggregation of manufacturing production for intermediate goods and for investment goods and crude steel. For others, they comprise retail trade and registration of passenger cars; and permits issued and work started for dwellings. Considerable effort has been made to ensure that the data are internationally comparable across all countries presented, coverage for as many countries as possible, and that all the subjects have reasonable length of time-series to assist analysis. Most data are available monthly and are presented as an index (where the year 2010 is the base year) or as a level depending on which measure is seen as the most appropriate and/or useful in the economic analysis context. Due to differences in statistical or economic environment at country level, however, availability of data varies from one country to another. <p /><a href=mailto:stat.contact@oecd.org>OECD statistics contact</a><p /><a href="http://www.oecd.org/sdd">Statistics and Data Directorate</a> L'ensemble de données Production et Ventes contient des statistiques industrielles pour 4 sujets distincts: la Production, les Ventes, les Commandes et les Mises en chantiers. Les séries de données présentées au sein de ces sujets on été choisies comme les statistiques industrielles les plus pertinentes pour lesquelles des données comparables entre les pays sont disponibles. Pour la Production, les données comprennent l'Indice de Production Industrielle (IPI) pour l'ensemble des industries, l'ensemble des secteurs manufacturiers, l'énergie, le pétrole brut, ainsi qu'une désagrégation plus détaillée de la production dans les secteurs manufacturiers pour les biens intermédiaires, les biens d'investissement et l'acier brut. Pour les autres sujets, sont inclus le commerce de détail, les immatriculations de voitures de tourisme, ainsi que les permis de construire et mises en chantiers de logements. Des efforts importants ont été faits pour s'assurer que les données sont comparables pour tous les pays présentés, pour couvrir le plus de pays possible, et pour que tous les sujets présentent des séries temporelles suffisamment longues pour faciliter l'analyse. La plupart des données sont disponibles mensuellement et sont présentées sous forme d'indices (avec 2010 pour année de référence) ou en niveau, selon que l'une ou l'autre mesure est considérée comme la plus appropriée et utile dans le contexte de l'analyse économique. Cependant, en raison de différences dans l'environnement statistique ou économique du pays, la disponibilité des données est différente d'un pays à l'autre.<p /><a href=mailto:stat.contact@oecd.org>Contact pour les statistiques de l'OCDE</a><p /><a href="http://www.oecd.org/sdd">Direction des statistiques et des données</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,METHODOLOGY=N NOT_DISPLAYED FREQ=M,UNIT_MEASURE=IX,ADJUSTMENT=Y DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,ADJUSTMENT,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Monetary aggregates Statistiques monétaires Monetary aggregates measure the amount of money circulating in an economy. National series are loaded as national currency stock series. Mostly, these are end-of-month. A few countries compile data more frequently e.g. weekly which enables them to calculate “average for the month” data. Series are also presented in index form, calculated by OECD. Monetary aggregates are always expressed in current price (“nominal” terms) because the amount of money required by an economy reflects current levels of economic activity and price. Here they are presented both as stock series in national currency and as indices in the OECD standard base year. There are many monetary aggregates. Statistically, they are items in the balance sheet of the banking system. They may be taken from either side (since credit series, which are banking assets, are sometimes labeled monetary aggregates) but are normally taken from the liabilities side. In the balance sheet the liabilities items are ordered, starting with very narrow definitions of money (such as notes and coin) and gradually widening through various types of bank accounts (e.g. sight deposits, term deposits) to very board items which include sophisticated products like financial derivatives. In other words, narrow money measures cover highly liquid forms of money (money as a means of exchange) while broad money includes the less liquid forms (money as a store of value). There were no internationally recognised standards for compiling monetary aggregates until the IMF published its Monetary and Financial Statistics Manual in 2000 (<a href="http://www.imf.org/external/pubs/ft/mfs/manual/index.htm">Monetary and Financial Statistics Manua</a>). Cross-country comparability suffered as a result. Now, notably, the European Central Bank’s framework for constructing Euro area monetary aggregates is consistent with IMF principles and non-euro EU countries are also required to report data to ECB according to the framework as are EU candidate countries as part of their application process. A useful IMF link for national methodologies is <a href="http://dsbb.imf.org/Applications/web/sddscountrylist/">IMF methodologies</a>. Here is used a general definition of narrow money – M1 is: currency i.e. banknotes and coins, plus overnight deposits. M2 is: the sum of M1, deposits with an agreed maturity of up to two years and deposits redeemable at notice of up to three months. And broad money – M3 is: the sum of M2, repurchase agreements, money market fund shares/units and debt securities up to two years.<p />The narrow and broad money indices are calculated by OECD from the national stock series. Country indices are calculated by first estimating period averages where the country only supplies end-of-period stock data. The figure for the end of the previous period is taken as the opening stock for the current period. The arithmetic average of the two is the estimate for the period average. These, or true monthly averages where available, are divided by the annual average of the monthly data in the base period to obtain the index.<p /><a href=mailto:stat.contact@oecd.org>OECD statistics contact</a><p /><a href="http://www.oecd.org/sdd">Statistics and Data Directorate</a> Le montant des agrégats monétaires est recueilli par les banques centrales sur la base d'enquêtes effectuées auprès des institutions monétaires et financières.<p />Le montant des agrégats monetaires est une donnée mensuelle et cumulative en terme de stock.<p /><a href=mailto:stat.contact@oecd.org>Contact pour les statistiques de l'OCDE</a><p /><a href="http://www.oecd.org/sdd">Direction des statistiques et des données</a> NonProductionDataflow true TIME_PERIOD LAYOUT_ROW EDITION LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,ACTIVITY=_Z,ADJUSTMENT=Y NOT_DISPLAYED REF_AREA=FRA,FREQ=M,LASTNPERIODS=6 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Short-term economic statistics revisions Révisions des statistiques économiques à court-terme Access monthly data snapshots of published short term economic statistics and observe the revisions made to key economic variables.<p />Having access to originally published data enables analysts to test the likely effectiveness of econometric models in simulated real-time, in particular models used for forecasting. It also provides the opportunity to perform revisions analysis - to study the magnitude and direction of subsequent revisions to published statistics. Revisions to time series published in subsequent editions of the Main Economic Indicators publication may be due to practices employed both by the national statistical institutes providing the data and the OECD. Accédez aux données mensuelles des statistiques économiques à court terme publiées et observez les révisions apportées aux variables économiques clés.<p />L'accès aux données publiées à l'origine permet aux analystes de tester, en quasi temps réel, l'efficacité probable des modèles économétriques, et en particulier des modèles de prévisions. Cela permet également d'effectuer une analyse des révisions, c'est-à-dire d'étudier l'ampleur et la direction des révisions ultérieures des statistiques publiées. Les révisions des séries temporelles, publiées dans les éditions successives des « Principaux indicateurs économiques », peuvent être dues aux pratiques employées à la fois par les instituts nationaux de statistique qui fournissent les données et par l'OCDE. NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=N NOT_DISPLAYED FREQ=A,LASTNPERIODS=5,MEASURE=EMP,UNIT_MEASURE=PS,ACTIVITY=_T,AGE=Y_GE15,SEX=_T+M+F,TRANSFORMATION=N,WORKER_STATUS=_T DEFAULT COMBINED_MEASURE:MEASURE,SEX;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Employment by activites and status (ALFS) Emploi par activité et situation profesionnelle (ALFS) <p>The “Employment by activites and status (ALFS)” dataset is a subset of the Annual Labour Force Statistics database which presents annual labour force statistics for OECD member countries, Brazil and 4 geographical areas (Major Seven, Euro zone, European Union and OECD-Total).</p><p>This dataset contains employment statistics broken down by economic activities as defined by the ISIC Rev. 4 classification and by professional status as defined by the ICSE-1993 including employees, employers and own-account workers, and unpaid family workers. It also shows the number of employees broken down by economic activities (ISIC Rev. 4). </p><p> Economic activities are defined according to the Major divisions of the International standard International Classification (ISIC) Rev. 4 with the exception of the United-States wich compiled since 2003, employment data by sector following the North American Industrial Classification System (NAICS); NAICS sector are then proxied to ISIC Rev. 4 and are therefore not strictly comparable with other countries’ data.</p><p> The professional status is defined in the International Classification by status in Employment (ICSE-1993). To be considered as an unpaid family worker, the hour-threshold varies from one hour to 18 hours a week.</p><p>Data are presented in thousands of persons, or as indices with base year 2015=100.</p><p>Annual data in this dataset are typically calculated as averages of infra-annual estimates. This can lead to differences with annual data published by National Statistics Institutes.</p><p>Historical data of employment statistics defined according to <a href=" https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2fdf1ac-9dba-4317-8a8d-d872f514a7d8"> ISIC Rev. 2</a> are also available from 1970 to 2014</p><p>Historical data of employment statistics defined according to <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d6213fd6-d098-4f41-871b-a65fa8c05b4f"> ISIC Rev. 3</a> are available from 1983 to 2023. Data for Canada are currently only available in ISIC Rev. 3</p> <p>L'ensemble de données "Emploi par activité et situation profesionnelle (ALFS)" est un sous-ensemble de la base de données des "Statistiques annuelles sur la population active" qui présente ces statistiques annuelles sur la population active pour les pays membres de l'OCDE, le Brésil et 4 zones géographiques (G7, Zone euro, Union européenne et OCDE-Total).</p><p>Cet ensemble de données contient des statistiques sur l'emploi ventilées par activités économiques telles que définies par la classification CITI Rév. 4 et par situations professionnelles telles que définis par la CISP-1993, incluant les salariés, les employeurs et les travailleurs pour leur propre compte, ainsi que les travailleurs familiaux non rémunérés. Il montre également le nombre de salariés ventilés par activités économiques (CITI Rév. 4). </p><p>Les activités économiques sont définies selon les grandes divisions de la Classification internationale type, par industries, de toutes les branches d'activités économiques (CITI) Rév. 4, à l'exception des États-Unis qui compilent, depuis 2003, des données sur l'emploi par secteur selon le Système de classification des industries de l'Amérique du Nord (SCIAN) ; les secteurs du SCIAN sont alors approximés avec la CITI Rév. 4 et ne sont donc pas strictement comparables avec les données des autres pays.</p><p>Le statut professionnel est défini dans la Classification internationale d’après la situation dans la profession (CISP-1993). Pour être considéré comme travailleur familial non rémunéré, le seuil horaire varie d'une heure à 18 heures par semaine.</p><p>Les données sont présentées en milliers de personnes ou sous forme d'indices avec une année de base 2015=100.</p><p>Les données annuelles de cet ensemble de données sont généralement calculées comme des moyennes d'estimations infra-annuelles. Cela peut entraîner des différences avec les données annuelles publiées par les instituts nationaux de statistiques.</p><p>Les données historiques des statistiques de l'emploi définies selon <a href=" https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2fdf1ac-9dba-4317-8a8d-d872f514a7d8"> CITI Rév. 2</a> sont égalemnt disponibles de 1970 à 2014</p><p>Les données historiques des statistiques de l'emploi définies selon <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d6213fd6-d098-4f41-871b-a65fa8c05b4f"> CITI Rév. 3</a> sont également disponibles de 1983 à 2023. Les données pour le Canada ne sont actuellement disponibles que dans la CITI Rév. 3</p> NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA, ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=N NOT_DISPLAYED FREQ=A,LASTNPERIODS=5,MEASURE=EMP,ACTIVITY=ATU+BTF+C,AGE=Y_GE15,AGE=Y_GE15,SEX=_T,TRANSFORMATION=N,WORKER_STATUS=ICSE93_1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Number of employees by activities (ISIC Rev. 4) Nombre d'employés par activité (ISIC Rev. 4) <p>The dataflow "Number of employees by activities (ISIC Rev. 4)" is a subset of the “Employment by activites and status (ALFS)” dataset which presents annual labour force statistics for OECD member countries, Brazil and 4 geographical areas (Major Seven, Euro zone, European Union and OECD-Total).</p><p>This dataflow shows the number of employees broken down by economic activities (ISIC Rev. 4). </p><p> Economic activities are defined according to the Major divisions of the International standard International Classification (ISIC) Rev. 4 with the exception of the United-States wich compiled since 2003, employment data by sector following the North American Industrial Classification System (NAICS); NAICS sector are then proxied to ISIC Rev. 4 and are therefore not strictly comparable with other countries’ data.</p><p> The professional status is defined in the International Classification by status in Employment (ICSE-1993).</p><p>Data are presented in thousands of persons, or as indices with base year 2015=100.</p><p>Annual data in this dataset are typically calculated as averages of infra-annual estimates. This can lead to differences with annual data published by National Statistics Institutes.</p><p>Historical data of employment statistics defined according to <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2fdf1ac-9dba-4317-8a8d-d872f514a7d8"> ISIC Rev. 2</a> are also available from 1970 to 2014</p><p>Historical data of employment statistics defined according to <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d6213fd6-d098-4f41-871b-a65fa8c05b4f"> ISIC Rev. 3</a> are available from 1983 to 2023. Data for Canada are currently only available in ISIC Rev. 3</p> <p>L'ensemble de données "Nombre d'employés par activité (CITI Rev. 4)" est un sous-ensemble de l'ensemble de données "Emploi par activité et situation profesionnelle (ALFS)" qui présente des statistiques annuelles sur la population active pour les pays membres de l'OCDE, le Brésil et 4 zones géographiques (G7, Zone euro, Union européenne et OCDE-Total).</p><p>Cet ensemble de données montre le nombre de salariés ventilés par activités économiques (CITI Rév. 4). </p><p>Les activités économiques sont définies selon les grandes divisions de la Classification internationale type, par industries, de toutes les branches d'activités économiques (CITI) Rév. 4, à l'exception des États-Unis qui compilent, depuis 2003, des données sur l'emploi par secteur selon le Système de classification des industries de l'Amérique du Nord (SCIAN) ; les secteurs du SCIAN sont alors approximés avec la CITI Rév. 4 et ne sont donc pas strictement comparables avec les données des autres pays.</p><p>Le statut professionnel est défini dans la Classification internationale d’après la situation dans la profession (CISP-1993). Pour être considéré comme travailleur familial non rémunéré, le seuil horaire varie d'une heure à 18 heures par semaine.</p><p>Les données sont présentées en milliers de personnes ou sous forme d'indices avec une année de base 2015=100.</p><p>Les données annuelles de cet ensemble de données sont généralement calculées comme des moyennes d'estimations infra-annuelles. Cela peut entraîner des différences avec les données annuelles publiées par les instituts nationaux de statistiques.</p> NonProductionDataflow true WORKER_STATUS LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA, WORKER_STATUS LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=N NOT_DISPLAYED FREQ=A,LASTNPERIODS=5,MEASURE=EMP,ACTIVITY=_T,AGE=Y_GE15,SEX=_T,TRANSFORMATION=N,WORKER_STATUS=_T+ICSE93_1+ICSE93_2T3+ICSE93_5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Employment by professional status (ICSE-93) Emploi par situation profesionnelle (CISP-93) <p>The dataflow "Employment by profesional status (ICSE-93)" is a subset of the “Employment by activites and status (ALFS)” dataset which presents annual labour force statistics for OECD member countries, Brazil and 4 geographical areas (Major Seven, Euro zone, European Union and OECD-Total).</p><p>This dataflow contains employment statistics for all economic activities broken down by professional status as defined by the ICSE-1993 including employees, employers and own-account workers, and unpaid family workers. </p><p> Economic activities are defined according to the Major divisions of the International standard International Classification (ISIC) Rev. 4 with the exception of the United-States wich compiled since 2003, employment data by sector following the North American Industrial Classification System (NAICS); NAICS sector are then proxied to ISIC Rev. 4 and are therefore not strictly comparable with other countries’ data.</p><p> The professional status is defined in the International Classification by status in Employment (ICSE-1993). To be considered as an unpaid family worker, the hour-threshold varies from one hour to 18 hours a week.</p><p>Data are presented in thousands of persons, or as indices with base year 2015=100.</p><p>Annual data in this dataset are typically calculated as averages of infra-annual estimates. This can lead to differences with annual data published by National Statistics Institutes.</p> <p>L'ensemble de données "Emploi par situation profesionnelle (CISP-1993)" est un sous-ensemble de l'ensemble de données "Emploi par activité et situation profesionnelle (ALFS)" qui présente des statistiques annuelles sur la population active pour les pays membres de l'OCDE, le Brésil et 4 zones géographiques (G7, Zone euro, Union européenne et OCDE-Total).</p><p>Cet ensemble de données contient des statistiques sur l'emploi dans toutes les branches d'activités ventilées par situations professionnelles telles que définis par la CISP-1993, incluant les salariés, les employeurs et les travailleurs pour leur propre compte, ainsi que les travailleurs familiaux non rémunérés.</p><p>Les activités économiques sont définies selon les grandes divisions de la Classification internationale type, par industries, de toutes les branches d'activités économiques (CITI) Rév. 4, à l'exception des États-Unis qui compilent, depuis 2003, des données sur l'emploi par secteur selon le Système de classification des industries de l'Amérique du Nord (SCIAN) ; les secteurs du SCIAN sont alors approximés avec la CITI Rév. 4 et ne sont donc pas strictement comparables avec les données des autres pays.</p><p>Le statut professionnel est défini dans la Classification internationale d’après la situation dans la profession (CISP-1993). Pour être considéré comme travailleur familial non rémunéré, le seuil horaire varie d'une heure à 18 heures par semaine.</p><p>Les données sont présentées en milliers de personnes ou sous forme d'indices avec une année de base 2015=100.</p><p>Les données annuelles de cet ensemble de données sont généralement calculées comme des moyennes d'estimations infra-annuelles. Cela peut entraîner des différences avec les données annuelles publiées par les instituts nationaux de statistiques.</p><p>Les données historiques des statistiques de l'emploi définies selon <a href=" https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2fdf1ac-9dba-4317-8a8d-d872f514a7d8"> CITI Rév. 2</a> sont égalemnt disponibles de 1970 à 2014</p><p>Les données historiques des statistiques de l'emploi définies selon <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d6213fd6-d098-4f41-871b-a65fa8c05b4f"> CITI Rév. 3</a> sont également disponibles de 1983 à 2023. Les données pour le Canada ne sont actuellement disponibles que dans la CITI Rév. 3</p> NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=N NOT_DISPLAYED FREQ=A,LASTNPERIODS=5,MEASURE=EMP,ACTIVITY=ATU+BTF+C,AGE=Y_GE15,SEX=_T,TRANSFORMATION=N,WORKER_STATUS=_T DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Employment by activities (ISIC Rev. 4) Emploi par activité (ISIC Rev. 4) <p>The dataflow "Employment by activities (ISIC Rev.4)" is a subset of the “Employment by activites and status (ALFS)” dataset which presents annual labour force statistics for OECD member countries, Brazil and 4 geographical areas (Major Seven, Euro zone, European Union and OECD-Total).</p><p>This dataflow contains employment statistics broken down by economic activities as defined by the ISIC Rev. 4 classification and by professional status as defined by the ICSE-1993 including employees, employers and own-account workers, and unpaid family workers. </p><p> Economic activities are defined according to the Major divisions of the International standard International Classification (ISIC) Rev. 4 with the exception of the United-States wich compiled since 2003, employment data by sector following the North American Industrial Classification System (NAICS); NAICS sector are then proxied to ISIC Rev. 4 and are therefore not strictly comparable with other countries’ data.</p><p> The professional status is defined in the International Classification by status in Employment (ICSE-1993). To be considered as an unpaid family worker, the hour-threshold varies from one hour to 18 hours a week.</p><p>Data are presented in thousands of persons, or as indices with base year 2015=100.</p><p>Annual data in this dataset are typically calculated as averages of infra-annual estimates. This can lead to differences with annual data published by National Statistics Institutes.</p><p>Historical data of employment statistics defined according to <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2fdf1ac-9dba-4317-8a8d-d872f514a7d8"> ISIC Rev. 2</a> are also available from 1970 to 2014</p><p>Historical data of employment statistics defined according to <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d6213fd6-d098-4f41-871b-a65fa8c05b4f"> ISIC Rev. 3</a> are available from 1983 to 2023. Data for Canada are currently only available in ISIC Rev. 3</p> <p>L'ensemble de données "Emploi par activité (CITI Rév. 4)" est un sous-ensemble de l'ensemble de données "Emploi par activité et situation profesionnelle (ALFS)" qui présente des statistiques annuelles sur la population active pour les pays membres de l'OCDE, le Brésil et 4 zones géographiques (G7, Zone euro, Union européenne et OCDE-Total).</p><p>Cet ensemble de données contient des statistiques sur l'emploi ventilées par activités économiques telles que définies par la classification CITI Rév. 4 et par situations professionnelles telles que définis par la CISP-1993, incluant les salariés, les employeurs et les travailleurs pour leur propre compte, ainsi que les travailleurs familiaux non rémunérés.</p><p>Les activités économiques sont définies selon les grandes divisions de la Classification internationale type, par industries, de toutes les branches d'activités économiques (CITI) Rév. 4, à l'exception des États-Unis qui compilent, depuis 2003, des données sur l'emploi par secteur selon le Système de classification des industries de l'Amérique du Nord (SCIAN) ; les secteurs du SCIAN sont alors approximés avec la CITI Rév. 4 et ne sont donc pas strictement comparables avec les données des autres pays.</p><p>Le statut professionnel est défini dans la Classification internationale d’après la situation dans la profession (CISP-1993). Pour être considéré comme travailleur familial non rémunéré, le seuil horaire varie d'une heure à 18 heures par semaine.</p><p>Les données sont présentées en milliers de personnes ou sous forme d'indices avec une année de base 2015=100.</p><p>Les données annuelles de cet ensemble de données sont généralement calculées comme des moyennes d'estimations infra-annuelles. Cela peut entraîner des différences avec les données annuelles publiées par les instituts nationaux de statistiques.</p><p>Les données historiques des statistiques de l'emploi définies selon <a href=" http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2fdf1ac-9dba-4317-8a8d-d872f514a7d8"> CITI Rév. 2</a> sont égalemnt disponibles de 1970 à 2014</p><p>Les données historiques des statistiques de l'emploi définies selon <a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=d6213fd6-d098-4f41-871b-a65fa8c05b4f"> CITI Rév. 3</a> sont également disponibles de 1983 à 2023. Les données pour le Canada ne sont actuellement disponibles que dans la CITI Rév. 3</p> NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z NOT_DISPLAYED FREQ=A,LASTNPERIODS=13,MEASURE=LF,AGE=Y15T64,SEX=_T,TRANSFORMATION=_Z DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Annual labour force survey, summary tables Enquête annuelle sur la force de travail, tableaux synthétiques <p>The “ALFS Summary tables” dataset is a subset of the Annual Labour Force Statistics database which presents annual labour force statistics for OECD member countries, Brazil and 4 geographical areas (Major Seven, Euro zone, European Union and OECD-Total).</p><p>Data are presented in thousands of persons, in percentage or as indices with base year 2015=100.</p><p>Annual data in this dataset are typically calculated as averages of infra-annual estimates. This can lead to differences with annual data published by National Statistics Institutes.</p><p>This dataset contains estimates from the OECD for the latest years when countries did not provide data. These estimates are necessary to compile aggregated statistics for the geographical areas for a complete span of time.</p><p>Since 2003, employment data by sector for the United States are compiled following the North American Industrial Classification System (NAICS); therefore they are not strictly comparable with other countries’ data.</p> <p>L'ensemble de données "ALFS Tableaux synthètiques" est un sous-ensemble de la base de données "Enquête annuelle sur la population active" qui présente des statistiques annuelles sur la population active pour les pays membres de l'OCDE, le Brésil et 4 zones géographiques (groupe des 7 grands, zone euro, Union Europèenne et OECD).</p><p>Les données sont présentées en milliers de personnes, en pourcentage ou sous forme d'indices avec 2015 pour année de base.</p><p>Les données annuelles de cet ensemble de données sont généralement calculées comme des moyennes des estimations infra-annuelles. Cela peut entraîner des différences avec les données annuelles publiées par les instituts nationaux de statistique.</p><p>Cet ensemble de données contient des estimations de l'OCDE pour les dernières années où les pays n'ont pas fourni de données. Ces estimations sont nécessaires pour compiler des statistiques agrégées pour les zones géographiques sur une période complète.</p><p>Depuis 2003, les données sur l'emploi par secteur pour les États-Unis sont calculées selon le Système de classification des industries de l'Amérique du Nord (SCIAN) ; elles ne sont donc pas strictement comparables avec les données d'autres pays.</p> NonProductionDataflow true COUNTERPART_AREA LAYOUT_ROW TIME_PERIOD,ADJUSTMENT LAYOUT_COLUMN OBS_STATUS LAYOUT_FLAG METHODOLOGY_TYPE LAYOUT_NOTE COUNTERPART_AREA=WXOECD,TYPE_PRODUCT=S,CURRENCY=USD,FREQ=A,DECIMALS=2,OBS_STATUS=A NOT_DISPLAYED REF_AREA=AUS,TYPE_PRODUCT=S,TRADE_FLOW=X,SERVICE=S,UNIT_MEASURE=USD_EXC,TIME_PERIOD_START=2020 DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS EXT_RESOURCE Bulk download - all data (438 MB)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fc36ebab-e1ad-4e6b-88a2-ebb2476cfc78 Téléchargement en masse - toutes les données (438 MB)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fc36ebab-e1ad-4e6b-88a2-ebb2476cfc78 Balanced trade in services (BaTIS) Echanges équilibrés de services (BaTIS) <p>La base de données Équilibrées sur le Commerce des Services (BaTIS) de l'OCDE et de l'OMC est une matrice complète, cohérente et équilibrée des statistiques du commerce international des services (ITSS). Elle contient des données bilatérales annuelles couvrant 202 pays déclarants et pays partenaires, ventilées selon le total des services ainsi que 26 catégories EBOPS 2010 (BPM6) de 2005 à 2023. BaTIS est le résultat des efforts conjoints de l'OCDE et de l'OMC. Deux caractéristiques principales permettent à BaTIS de s’imposer comme la référence internationale pour toute analyse sur le commerce international des services :</p><ol> <li><b>BaTIS est complet et cohérent.</b> Actuellement, seulement 65 % environ du commerce mondial des services est spécifié de manière bilatérale, et le pourcentage est encore plus faible pour les différentes catégories de services. La méthodologie de l'OCDE-OMC exploite toutes les statistiques officielles disponibles et les combine avec des estimations et des ajustements pour fournir aux utilisateurs une matrice complète couvrant pratiquement toutes les économies du monde.</li> <li><b>BaTIS est équilibré.</b> Pour résoudre les asymétries entre les flux déclarés et les flux miroirs, les exportations et les importations sont conciliées en calculant une moyenne pondérée par l’indice de symétrie entre les deux, suivant une approche similaire à celle développée pour les statistiques du commerce international de marchandises.</li></ol> <p>Batis fournit trois mesures pour chaque flux commercial (sous la dimension ‘ajustement’):</p> <ul> <li><b>Déclaré.</b> Reflète la valeur officiellement déclarée par le pays (quand il est disponible), certaines valeurs sont recalibrées pour correspondre aux totaux mondiaux.</li> <li><b>Ajusté et/ou imputé.</b> Reflète, en plus des valeurs déclarées, tous les ajustements effectués pour assurer la cohérence interne ainsi que les estimations réalisées par l'OCDE-OMC pour combler les lacunes dans les informations déclarées.</li> <li><b>Équilibré.</b> Reflète le flux commercial bilatéral reconcilié, où les exportations équivalent aux importations miroirs.</li></ul> <p>Les informations officielles sur les flux commerciaux bilatéraux ont été collectées auprès de l'OCDE, d'Eurostat, de sources nationales ainsi que de l'UNSD. Le jeu de données sur le commerce des services OMC-CNUCED, basé sur un certain nombre de sources primaires complétées par des estimations, était la principale source de données avec le partenaire monde.</p><p>La base de données BaTIS peut être utilisée comme une entrée autonome pour l'analyse économique et l'élaboration de politiques. De plus, les données équilibrées sur le commerce des services constituent une entrée essentielle à l'initiative de l'OCDE sur le Commerce en Valeur Ajoutée (TiVA), pour laquelle une vision équilibrée du commerce international est cruciale. BaTIS est destiné à être régulièrement mis à jour et constamment amélioré à mesure que de nouvelles données deviennent disponibles.</p><p>Pour plus d'informations sur la méthodologie, veuillez-vous référer au document technique accompagnant cette base de données <a href="https://doi.org/10.1787/c321a7a7-en">L'OCDE-OMC Commerce Équilibré des Services (BaTIS)</a></p> <p>Pour plus d'informations sur les statistiques du commerce équilibré, veuillez consulter la page de l'OCDE sur le sujet (uniquement disponible en anglais) <a href="https://www.oecd.org/fr/data/datasets/oecd-balanced-trade-statistics.html">Statistiques du commerce équilibré</a></p> <p>Les utilisateurs sont encouragés à envoyer leurs questions, ou à signaler toute erreur apparente, concernant cette base de données à <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a></p> <div><a href="https://www.oecd.org/fr/about/directorates/statistics-and-data-directorate.html">https://www.oecd.org/fr/about/directorates/statistics-and-data-directorate.html</a></div> <p>The OECD-WTO Balanced Trade in Services (BaTIS) dataset is a complete, consistent, and balanced matrix of international trade in services statistics (ITSS). It contains annual bilateral data covering 202 reporters and partners, broken down by total services and 26 EBOPS 2010 (BPM6) categories from 2005 to 2023. BaTIS is the result of joint efforts by the OECD and WTO. Two main features enable BaTIS to stand out as the international benchmark for any analysis on international trade in services:</p> <ol> <li><b>BaTIS is complete and consistent.</b> At present, only around 65% of world trade in services is bilaterally specified, and the percentage is even lower for the individual service categories. The OECD-WTO methodology leverages all available official statistics and combines them with estimations and adjustments to provide users with a complete matrix covering virtually all economies in the world.</li> <li><b>BaTIS is balanced.</b> To resolve the asymmetries between reported and mirror flows, exports and imports are reconciled by calculating a symmetry-index weighted average between the two, following a similar approach to that developed for international merchandise trade statistics.</li> </ol> <p>Batis provides three measures for each trade flow (under the ‘adjustment’ dimension):</p> <ul> <li><b>Reported. </b> Reflects the value officially reported by the country (where available), some values are rescaled to fit world totals.</li> <li><b>Adjusted and/or imputed.</b> Reflects, in addition to the reported values, any adjustments made to ensure internal consistency as well as the estimations made by the OECD-WTO to fill in the gaps in the reported information.</li> <li><b>Balanced.</b> Reflects the reconciled bilateral trade flow, where exports equal mirror imports.</li> </ul> <p>Official information on bilateral trade flows was collected from OECD, Eurostat, national sources as well as UNSD. The WTO-UNCTAD trade in services dataset, based on a number of primary sources complemented with estimations, was the main source for data with partner world.</p> <p>The BaTIS dataset can be used as a stand-alone input for economic analysis and policy-making. In addition, balanced trade in services data form an essential input to the OECD Trade in Value Added (TiVA) initiative, for which a balanced view of international trade is crucial. BaTIS is intended to be regularly updated and constantly improved as new data become available.</p> <p>For more information on the methodology, please refer to the technical paper accompanying this dataset <a href="https://doi.org/10.1787/c321a7a7-en">The OECD-WTO Balanced Trade in Services (BaTIS)</a></p> <p>For more information on balanced trade statistics, please go to the topic related OECD page <a href="https://www.oecd.org/en/data/datasets/oecd-balanced-trade-statistics.html">Balanced trade statistics</a></p> <p>Users are encouraged to send their questions, or to signal any apparent errors, regarding this database to <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a></p> <div><a href="https://www.oecd.org/en/about/directorates/statistics-and-data-directorate.html">https://www.oecd.org/en/about/directorates/statistics-and-data-directorate.html</a></div> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN ACCOUNTING_ENTRY LAYOUT_ROW_SECTION COUNTERPART_AREA,CURRENCY=_Z,UNIT_MULT=0,DECIMALS,OBS_STATUS=A NOT_DISPLAYED REF_AREA=USA,FREQ=Q,UNIT_MEASURE=XDC,ADJUSTMENT=Y DEFAULT UNIT_MEASURE,CURRENCY,UNIT_MULT,ADJUSTMENT UNIT_MEASURE_CONCEPTS ACCOUNTING_ENTRY:OECD.SDD.TPS:HCL_ACCOUNTING_ENTRY(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,ADJUSTMENT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Balance des paiements Balance of payments La balance des paiements est un &eacute;tat statistique qui fournit un r&eacute;sum&eacute; syst&eacute;matique des transactions &eacute;conomiques d'une &eacute;conomie avec le reste du monde, pour une p&eacute;riode donn&eacute;e. Les transactions se font pour la plupart entre r&eacute;sidents et non-r&eacute;sidents de l'&eacute;conomie. Une transaction est d&eacute;finie comme un flux &eacute;conomique qui refl&egrave;te la cr&eacute;ation, la transformation, l'&eacute;change, le transfert ou l'extinction d'une valeur &eacute;conomique et implique des changements de propri&eacute;t&eacute;, de biens ou d'actifs, de prestation de services, de travail ou de capital.</p><p>Cet ensemble de donn&eacute;es pr&eacute;sente les &eacute;conomies qui &eacute;tablissent des statistiques de balance des paiements conform&eacute;ment &agrave; la 6e &eacute;dition du Manuel de la balance des paiements et de la position ext&eacute;rieure globale publi&eacute; par le FMI (MBP6). Les transactions comprennent : les comptes de biens et services, le compte de revenu primaire (compte de revenu dans le MBP5), le compte de revenu secondaire (transferts dans le MBP5), le compte de capital et le compte financier.</p><p>Toutes les &eacute;conomies diffus&eacute;es ici produisent des balances des paiements selon le BPM6, ce qui permet une forte comparabilit&eacute; entre les pays. En tant que tel, l'objectif principal de cet ensemble de donn&eacute;es est de fournir des statistiques trimestrielles agr&eacute;g&eacute;es de la balance des paiements pertinentes, fiables, coh&eacute;rentes, comparables et opportunes &agrave; des fins analytiques. N&eacute;anmoins, il existe quelques &eacute;carts par rapport aux d&eacute;finitions standard qui sont indiqu&eacute;s dans les notes (voir &laquo; i &raquo; attach&eacute; aux s&eacute;ries).</p><p>Dans le compte financier, pour la valeur nette, un signe positif indique un flux net de l'&eacute;conomie nationale vers le reste du monde (un pr&ecirc;t au reste du monde) et un signe n&eacute;gatif, un flux net du reste du monde vers l'&eacute;conomie nationale (c'est-&agrave;-dire un emprunt net au reste du monde). Au niveau des sous-postes (investissements &agrave; l'&eacute;tranger, investissements dans l'&eacute;conomie d&eacute;clarante, etc.), un signe positif indique une augmentation du sous-poste consid&eacute;r&eacute; et un signe n&eacute;gatif une diminution. Ces conventions sont impos&eacute;es par le MBP6.</p><p>Le flux de donn&eacute;es couvre : tous les pays membres de l'OCDE, les &eacute;conomies du G20 et une s&eacute;lection d'&eacute;conomies non membres.</p><p>L'unit&eacute; mon&eacute;taire utilis&eacute;e pour toutes les s&eacute;ries est :<br />Millions de dollars US ou Millions de monnaie nationale.<br /></p><p>Contact pour les statistiques de l'OCDE : <a href="mailto:stat.contact@oecd.org">stat.contact@oecd.org</a></p><p><a href="http://www.oecd.org/sdd">http://www.oecd.org/sdd</a> The balance of payments is a statistical statement that provides a systematic summary of economic transactions of an economy with the rest of the world, for a specific time period. The transactions are for the most part between residents and non-residents of the economy. A transaction is defined as an economic flow that reflects the creation, transformation, exchange, transfer, or extinction of economic value and involves changes in ownership, of goods or assets, the provision of services, labour or capital.</p><p>This dataset presents economies compiling balance of payments statistics in accordance with the 6th edition of the Balance of Payments and International Investment Position Manual published by the IMF (BPM6). Transactions include: the goods and services accounts, the primary income account (income account in BPM5), the secondary income account (transfers in BPM5), the capital account, and the financial account.</p><p>All economies disseminated here produce balance of payments according to BPM6; providing strong cross-country comparability.<br />As such the main purpose of this dataset is to provide relevant, reliable, consistent, comparable and timely aggregate quarterly balance of payments statistics for analytical purposes. Nevertheless there are some deviations from standard definitions that are indicated in notes (see &laquo; i &raquo; attached to series).</p><p>In the financial account, for net value, a positive sign indicates a net flow from the domestic economy to the rest of the world (a lending to the rest of the world) and a negative sign, a net flow from the rest of the world to the domestic economy (i.e. a net borrowing from the rest of the world). At the level of the sub items (investment abroad investment in the reporting economy etc.), a positive sign indicates an increase of the sub item under consideration and a negative sign a decrease. These conventions are imposed by the BPM6.</p><p>The dataflow covers : all OECD member countries, G20 economies and a selection of non-member economies.</p><p>The currency unit used for all series is:<br />Millions of US dollars or Millions of National Currency.<br /></p><p>OECD statistics contact: <a href="mailto:stat.contact@oecd.org">stat.contact@oecd.org</a></p><p><a href="http://www.oecd.org/sdd">http://www.oecd.org/sdd</a> NonProductionDataflow true MEASURE,FS_ENTRY LAYOUT_ROW TIME_PERIOD,ACCOUNTING_ENTRY LAYOUT_COLUMN COUNTERPART_AREA,CURRENCY=_Z,ADJUSTMENT,DECIMALS,OBS_STATUS=A NOT_DISPLAYED REF_AREA=FRA,FREQ=Q,UNIT_MEASURE=XDC,TIME_PERIOD_START=2022 DEFAULT UNIT_MEASURE,CURRENCY,UNIT_MULT UNIT_MEASURE_CONCEPTS ACCOUNTING_ENTRY:OECD.SDD.TPS:HCL_ACCOUNTING_ENTRY(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée International investment position Position extérieure globale La position ext&eacute;rieure globale (PEG) est un &eacute;tat statistique qui fournit un r&eacute;sum&eacute; syst&eacute;matique de la valeur cumul&eacute;e des actifs financiers d'une &eacute;conomie dans d'autres pays et de ses engagements envers les r&eacute;sidents d'autres pays &agrave; la fin d'une p&eacute;riode sp&eacute;cifique. La diff&eacute;rence entre les actifs et les passifs constitue la position ext&eacute;rieure nette et repr&eacute;sente soit une cr&eacute;ance nette sur le reste du monde, soit un engagement net &agrave; son &eacute;gard. Les donn&eacute;es sont pr&eacute;sent&eacute;es par cat&eacute;gories d'investissement, telles que les investissements directs, les investissements de portefeuille et les avoirs de r&eacute;serve, chacune d'entre elles &eacute;tant plus d&eacute;taill&eacute;e. Comprendre les types d'investissements d&eacute;tenus par des propri&eacute;taires &eacute;trangers peut nous &eacute;clairer sur la vuln&eacute;rabilit&eacute; d'une &eacute;conomie aux changements des conditions du march&eacute; ext&eacute;rieur.</p><p>Cet ensemble de donn&eacute;es pr&eacute;sente les &eacute;conomies qui compilent des statistiques sur la position ext&eacute;rieure globale conform&eacute;ment &agrave; la 6e &eacute;dition du Manuel de la balance des paiements et de la position ext&eacute;rieure globale publi&eacute; par le FMI (MBP6), ce qui permet une forte comparabilit&eacute; entre les pays.En tant que tel, l'objectif principal de cet ensemble de donn&eacute;es est de fournir des statistiques trimestrielles agr&eacute;g&eacute;es sur la position ext&eacute;rieure globale qui soient pertinentes, fiables, coh&eacute;rentes, comparables et opportunes &agrave; des fins analytiques. N&eacute;anmoins, il existe quelques &eacute;carts par rapport aux d&eacute;finitions standard qui sont indiqu&eacute;s dans les notes (voir &laquo; i &raquo; attach&eacute; aux s&eacute;ries).</p><p>Dans la position ext&eacute;rieure globale, pour la valeur nette, un signe positif indique un stock net de l'&eacute;conomie nationale vers le reste du monde (un pr&ecirc;t ou une cr&eacute;ance sur le reste du monde) et un signe n&eacute;gatif, un stock net du reste du monde vers l'&eacute;conomie nationale (c'est-&agrave;-dire un emprunt net aupr&egrave;s du reste du monde). Au niveau des sous-postes (investissements &agrave; l'&eacute;tranger, investissements dans l'&eacute;conomie d&eacute;clarante, etc.), un signe positif indique un stock d'actifs (cr&eacute;ances) du sous-poste consid&eacute;r&eacute; et un signe n&eacute;gatif un stock de passifs. Ces conventions sont impos&eacute;es par le MBP6.</p><p>Le flux de donn&eacute;es couvre : tous les pays membres de l'OCDE, les &eacute;conomies du G20 et une s&eacute;lection d'&eacute;conomies non membres.</p><p>L'unit&eacute; de mesure utilis&eacute;e pour toutes les s&eacute;ries est :<br />Millions de dollars US ou Millions de monnaie nationale.<br /></p><p>Contact pour les statistiques de l'OCDE : <a href="mailto:stat.contact@oecd.org">stat.contact@oecd.org</a></p><p><a href="http://www.oecd.org/sdd">http://www.oecd.org/sdd</a> The international investment position (IIP) is a statistical statement that provides a systematic summary of the accumulated value of an economy&rsquo;s financial assets in other countries and its liabilities to residents of other countries at the end of a specific time period. The difference between assets and liabilities is the net international investment position and represents either a net claim on, or a net liability to, the rest of the world. Data are shown by categories of investment, such as direct investment, portfolio investment, and reserve assets, each with expanded detail available. Understanding the types of investment held by foreign owners can shed light on the vulnerability of an economy to changes in external market conditions.</p><p>This dataset presents economies compiling international investment position statistics in accordance with the 6th edition of the Balance of Payments and International Investment Position Manual published by the IMF (BPM6), providing strong cross-country comparability.<br />As such the main purpose of this dataset is to provide relevant, reliable, consistent, comparable and timely aggregate quarterly international investment position statistics for analytical purposes. Nevertheless there are some deviations from standard definitions that are indicated in notes (see &laquo; i &raquo; attached to series).</p><p>In the international investment position, for net value, a positive sign indicates a net stock from the domestic economy to the rest of the world (a lending to, or claim on, the rest of the world) and a negative sign, a net stock from the rest of the world to the domestic economy (i.e. a net borrowing from the rest of the world). At the level of the sub items (investment abroad, investment in the reporting economy etc.), a positive sign indicates a stock of assets (claims) of the sub item under consideration and a negative sign a stock of liabilities. These conventions are imposed by the BPM6.</p><p>The dataflow covers : all OECD member countries, G20 economies and a selection of non-member economies.</p><p>The currency unit used for all series is:<br />Millions of US dollars or Millions of National Currency.<br /></p><p>OECD statistics contact: <a href="mailto:stat.contact@oecd.org">stat.contact@oecd.org</a></p><p><a href="http://www.oecd.org/sdd">http://www.oecd.org/sdd</a> NonProductionDataflow true COUNTERPART_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CURRENCY=_Z,FREQ,ADJUSTMENT,DECIMALS,OBS_STATUS=A NOT_DISPLAYED REF_AREA=AUS,MEASURE=S,ACCOUNTING_ENTRY=B,UNIT_MEASURE=USD_EXC,TIME_PERIOD_START=2009 DEFAULT UNIT_MEASURE,CURRENCY,UNIT_MULT UNIT_MEASURE_CONCEPTS ACCOUNTING_ENTRY:OECD.SDD.TPS:HCL_ACCOUNTING_ENTRY(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée International trade in services Echanges internationaux de services Metadata by country are available in English and French. Please click on the link below:<br /><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b8105717-7bc7-4320-b01e-d1b13ece5034">https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b8105717-7bc7-4320-b01e-d1b13ece5034</a>.</p><p>The aim of this dataflow International Trade in Services EBOPS 2010 (by partner country) is to collect and disseminate balance of payments data on international trade in services at the most detailed partner country level available. To the extent that countries report them, data are also broken down by type of service according to the EBOPS 2010 classification.</p><p>There has been a growing interest in monitoring patterns of trade in services around the world, which is partly associated with ongoing trade negotiations and partly due to the increasing importance of services in OECD economies. It has been developed to supplement other OECD publications on trade in services to address the data needs of trade analysts. It is also an important part of OECD's programme to facilitate the implementation of the recommendations of the revised Manual on Statistics of International Trade in Services 2010.</p><p>The currency unit used for all series is:<br />Millions of US dollars or Millions of National Currency or Millions of Euros.<br /></p><p>OECD statistics contact: <a href="mailto:stat.contact@oecd.org">stat.contact@oecd.org</a></p><p><a href="http://www.oecd.org/sdd">http://www.oecd.org/sdd</a> Les métadonnées par pays sont disponibles en anglais et en français sur le lien ci-dessous :<br /><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b8105717-7bc7-4320-b01e-d1b13ece5034">https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b8105717-7bc7-4320-b01e-d1b13ece5034</a>.</p><p>L'objectif de ce flux de donn&eacute;es Commerce international de services EBOPS 2010 (par pays partenaire) est de collecter et de diffuser des donn&eacute;es de balance des paiements sur le commerce international de services au niveau le plus d&eacute;taill&eacute; possible des pays partenaires. Dans la mesure o&ugrave; les pays les communiquent, les donn&eacute;es sont &eacute;galement ventil&eacute;es par type de service selon la classification de l'EBOPS 2010.</p><p>Le suivi des &eacute;changes de services dans le monde suscite un int&eacute;r&ecirc;t croissant, en partie li&eacute; aux n&eacute;gociations commerciales en cours et en partie d&ucirc; &agrave; l'importance croissante des services dans les &eacute;conomies de l'OCDE. Cette publication a &eacute;t&eacute; d&eacute;velopp&eacute;e pour compl&eacute;ter d'autres publications de l'OCDE sur les &eacute;changes de services afin de r&eacute;pondre aux besoins en donn&eacute;es des analystes du commerce. Il s'agit &eacute;galement d'un &eacute;l&eacute;ment important du programme de l'OCDE visant &agrave; faciliter la mise en &oelig;uvre des recommandations du Manuel r&eacute;vis&eacute; des statistiques du commerce international des services 2010.</p><p>L'unit&eacute; de mesure utilis&eacute;e pour toutes les s&eacute;ries est :<br />Millions de dollars US ou Millions de monnaie nationale ou Millions d'euros.<br /></p><p>Contact pour les statistiques de l'OCDE : <a href="mailto:stat.contact@oecd.org">stat.contact@oecd.org</a></p><p><a href="http://www.oecd.org/sdd">http://www.oecd.org/sdd</a NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED REF_AREA:OECD.SDD.TPS:HCL_AREA_CPI(1.0).H HIER_CONTEXT CPI country weights - OECD composition IPC - pondération des pays - composition de l'OCDE <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">This dataset contains country weights used for calculation of Consumer Prices aggregates for OECD total and G7 area. The weights are based on relative share of individual final consumption expenditure of households and non-profit institutions serving households expressed in Purchasing Power Parities (PPPs). <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>Cet ensemble de donn&eacute;es contient les poids des pays utilis&eacute;s pour le calcul des indices de prix &agrave; la consommation agr&eacute;g&eacute;s pour le total OCDE et le G7. Les poids sont calcul&eacute;s &agrave; partir des d&eacute;penses de consommation finale priv&eacute;e des m&eacute;nages et des institutions sans but lucratif au service des m&eacute;nages (ISBLSM) exprim&eacute;es en Parit&eacute;s de pouvoir d&rsquo;achat (PPA).&nbsp;</p> NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z NOT_DISPLAYED FREQ=M,LASTNPERIODS=13,MEASURE=EAR,ADJUSTMENT=Y,TRANSFORMATION=IX DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Hourly earnings Rémunération horaire <p>The Hourly Earnings dataset contains predominantly monthly statistics, and associated statistical methodological information, for the OECD member countries and for selected non-member economies. </p><p>The Hourly Earnings dataset provides monthly and quarterly data on employees' earnings series. It includes earnings series in manufacturing and for the private economic sector. Mostly the sources of the data are business surveys covering different economic sectors, but in some cases administrative data are also used. </p><p>The target series for hourly earnings correspond to seasonally adjusted average total earnings paid per employed person per hour, including overtime pay and regularly recurring cash supplements. Where hourly earnings series are not available, a series could refer to weekly or monthly earnings. In this case, a series for full-time or full-time equivalent employees is preferred to an all employees series.</p> <p>L'ensemble de données sur les rémunérations horaires contient des statistiques essentiellement mensuelles, ainsi que des informations méthodologiques statistiques associées, pour les pays membres de l'OCDE et pour certaines économies non membres. </p><p>L'ensemble de données sur les rémunérations horaires fournit des données mensuelles et trimestrielles sur les séries de rémunérations des salariés. Il comprend des séries de rémunérations dans l'industrie manufacturière et pour le secteur économique privé. La plupart des sources de données sont des enquêtes auprès des entreprises couvrant différents secteurs économiques, mais dans certains cas, des données administratives sont également utilisées. </p><p>Les séries cibles pour les rémunérations horaires correspondent aux rémunérations totales moyennes corrigées des variations saisonnières versées par personne occupée et par heure, y compris la rémunération des heures supplémentaires et les versements réguliers en espèces. Lorsque les séries de rémunérations horaires ne sont pas disponibles, une série peut se référer à des rémunérations hebdomadaires ou mensuelles. Dans ce cas, une série pour les salariés à temps plein ou en équivalent temps plein est préférable à une série pour l'ensemble des salariés.</p> NonProductionDataflow true OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED FREQ=M,UNIT_MEASURE=PA,LASTNPERIODS=13 DEFAULT COMBINED_MEASURE:MEASURE,METHODOLOGY,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unité de mesure G20 - Consumer price indices, all items G20 - Indices des prix à la consommation, global <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">This dataset contains statistics on Consumer Price Indices - all items, for G20 countries and for the G20 as a whole.&nbsp;</span></p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">The G20 area consists of the following economies: Argentina, Australia, Brazil, Canada, China, France, Germany, India, Indonesia, Italy, Japan, Korea, Mexico, the Russian Federation, Saudi Arabia, South Africa, T&uuml;rkiye, the United Kingdom, the United States, the African Union and the European Union.&nbsp;</span></p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">The CPI aggregate for G20 area is calculated for the headline indicator only (CPI/HICP All items). It reflects national CPIs for all G20 countries (with the exception of T&uuml;rkiye and the United Kingdom) that are not part of the EU while it reflects the HICPs for the EU, its Member States, for T&uuml;rkiye and the United Kingdom. It is an annual chain-linked Laspeyres-type indices, calculated taking the sixteen individual country members of the G20 (other than France, Germany, and Italy) plus the EU as an aggregate. The G20 aggregate does not include African Union countries, except for South Africa. <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>Cet ensemble de donn&eacute;es contient des informations sur les indices de prix &agrave; la consommation (IPCs, global), pour les pays du G20 et le G20 dans son ensemble.</p> <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>Le G20 comprend les membres suivants : Afrique du Sud, Allemagne, Arabie saoudite, Argentine, Australie, Br&eacute;sil, Canada, Chine, Cor&eacute;e, &Eacute;tats-Unis, F&eacute;d&eacute;ration de Russie, France, Inde, Indon&eacute;sie, Italie, Japon, Mexique, Royaume-Uni, T&uuml;rkiye, Union africaine et Union europ&eacute;enne.&nbsp;</p> <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>L&rsquo;agr&eacute;gat du G20 est calcul&eacute; uniquement pour l&rsquo;indicateur global (IPC/IPCH global). Il correspond aux IPCs nationaux pour tous les pays du G20 (&agrave; l&rsquo;exception du Royaume-Uni et de la T&uuml;rkiye) qui ne sont pas membres de l&rsquo;UE, tandis qu&rsquo;il correspond aux IPCHs pour l&rsquo;UE, ses &Eacute;tats membres, le Royaume-Uni et la T&uuml;rkiye.</p> <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>Il s&rsquo;agit d&rsquo;un indice annuel cha&icirc;n&eacute; de type Laspeyres, calcul&eacute; en agr&eacute;geant les indices des seize pays membres du G20 (&agrave; l&rsquo;exception de la France, de l&rsquo;Allemagne et de l&rsquo;Italie) et l&rsquo;agr&eacute;gat de l&rsquo;UE. L&rsquo;agr&eacute;gat du G20 n&rsquo;inclut pas les pays de l&rsquo;Union africaine, &agrave; l&rsquo;exception de l&rsquo;Afrique du Sud.</p> NonProductionDataflow true REF_AREA,TRADE_FLOW,UNIT_MEASURE,ADJUSTMENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COUNTERPART_AREA=W,PRICES=V,PRODUCT_TYPE=C,UNIT_MULT=0,OBS_STATUS=A,CURRENCY=_Z,TRANSFORMATION=N,ADJUSTMENT=N,UNIT_MEASURE=XDC NOT_DISPLAYED UNIT_MEASURE=USD_EXC,ADJUSTMENT=Y,FREQ=M DEFAULT COMBINED_MEASURE:TRADE_FLOW,TRANSFORMATION,UNIT_MEASURE,CURRENCY,UNIT_MULT,ADJUSTMENT COMBINED_CONCEPTS TRANSFORMATION:OECD.SDD.TPS:HCL_TRANSFORMATION(1.0).H HIER_CONTEXT International merchandise trade statistics Statistiques du commerce international de marchandises OECD statistics contact: <a href="mailto:stat.contact@oecd.org">stat.contact@oecd.org</a></p><p>The International Trade dataset contains predominantly monthly merchandise trade statistics, and associated statistical methodological information, for all OECD member countries and for all non-OECD G20 economies and the EU.</P><br>The dataset itself contains international trade statistics measured in billions of US dollars (USD) or Millions of billions of National Currency or Growth rates for: Exports, Imports, Trade Balance. In all cases a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis.</br> Contact pour les statistiques de l'OCDE : <a href="mailto:stat.contact@oecd.org">stat.contact@oecd.org</a></p><p>Le dataset du commerce international présente des données mensuelles du commerce international de marchandises ainsi que les informations méthodologiques décrivant ces statistiques, pour les pays membres de l'OCDE, les membres du G20 non membres de l'OCDE et l'Union européenne.</p><br>Les exportations, importations et balances commerciales sont présentées en milliards de dollars US ou en milliards de monnaie nationale ou en taux de croissance. Les séries statistiques sont comparables d'un pays à l'autre et présentent un historique suffisant pour permettre des analyses pertinentes.</br> NonProductionDataflow true COMM_HS2017 LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN METHODOLOGY_TYPE LAYOUT_FLAG OBS_STATUS=A+I,UNIT_MULT=0,DECIMALS=2,PRODUCT_TYPE=C,FREQ=A,COUNTERPART_AREA=WXOECD NOT_DISPLAYED REF_AREA=AUS,COMM_HS2017=_T,TIME_PERIOD_START=2016 DEFAULT UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS UNIT_MEASURE:Unit of measure UNIT_MEASURE:Unité de mesure EXT_RESOURCE Bulk download - all data (1.2 GB)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=09afd8bb-ade1-4384-9646-f219f0d5e1be Téléchargement en masse - toutes les données (1.2 GB)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=09afd8bb-ade1-4384-9646-f219f0d5e1be International transport and insurance costs of merchandise trade (ITIC) Coûts de transport et d'assurance du commerce international de marchandises (ITIC) <p>Transport and insurance costs, usually referred to as CIF/FOB margins, are important determinants of the volume and geography of international trade. The OECD ITIC dataset combines the largest and most detailed cross-country sample of official national statistics on observed CIF-FOB margins with model estimates, providing information on CIF/FOB margins for more than 200 reporters and 240 partners and over 1200 products (HS 2017 at 4 digits), covering the period 1995 to 2022.</p> <p>The OECD ITIC dataset is built in four steps. First, a gravity model is estimated based on the reported CIF/FOB margins at HS 6-digit product level (available for 34 countries). Second, the gravity-model coefficients are used to derive estimates for countries which do not explicitly report CIF/FOB margins. Third, the observations that could not be estimated by the model are derived from the estimated margins using standard statistical techniques. Finally, estimates are calibrated to explicitly reported data for countries that provide incomplete time series of observed margins. The final ITIC dataset consists of a combination of reported data and different types of estimates and includes specific codes which identify the methodology behind each observation.</p> <p>ITIC constitutes an important tool to further the understanding of global value chains and forms a crucial input to the development of coherent and balanced bilateral trade statistics.</p> <p>Note:</p> <li>In ITIC, the reference area corresponds to the importer, while the counterpart area is the exporter.</li> <li> The margin is calculated as (CIF-FOB)/CIF and is the percentage of the CIF value of imports that correspond to the international transport and insurance costs.</li> <li>CIF = Cost, Insurance and Freight</li> <li>FOB = Free on Board</li> </ul> <p> For more information on the methodology, please refer to the working paper accompanying this dataset <a href=" https://www.oecd-ilibrary.org/economics/recent-trends-in-transport-and-insurance-costs-and-estimates-at-disaggregated-product-level_b5dbab02-en?crawler=true" >Recent trends in transport and insurance costs and estimates at disaggregated product level</a></p> <p>Users are encouraged to send their questions, or to signal any apparent errors, regarding this database to <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a></p> <div><a href="http://www.oecd.org/sdd">http://www.oecd.org/sdd</a></div> <p>Les coûts de transport et d'assurance, généralement désignés sous le nom de marges CAF/FAB, sont des déterminants importants du volume et de la géographie du commerce international. La base de données de l'OCDE ITIC combine l’échantillon le plus important et le plus détaillé par pays partenaire de statistiques nationales officielles sur les marges CAF/FAB observées avec des estimations de modèle, fournissant des informations sur les marges CAF/FAB pour plus de 200 déclarants et 240 partenaires et plus de 1200 produits (HS 2017 à 4 chiffres), couvrant la période de 1995 à 2022.</p> <p>La base de données ITIC de l'OCDE est construite en quatre étapes. Premièrement, un modèle de gravité est estimé sur la base des marges CAF/FAB déclarées par le pays au niveau du produit SH à 6 chiffres (disponible pour 34 pays). Deuxièmement, les coefficients du modèle de gravité sont utilisés pour dériver des estimations pour les pays qui ne déclarent pas explicitement les marges CAF/FAB. Troisièmement, les observations qui n'ont pas pu être estimées par le modèle sont déduites des marges estimées en utilisant des techniques statistiques standard. Enfin, les estimations sont calibrées sur les données explicitement déclarées pour les pays qui fournissent des séries chronologiques incomplètes de marges observées. La base de données finale ITIC se compose d'une combinaison de données déclarées et de différents types d'estimations et comprend des codes spécifiques qui identifient la méthodologie utilisée pour chaque observation.</p> <p>La base de données ITIC constitue un outil important pour approfondir la compréhension des chaînes de valeur mondiales et constitue un apport crucial au développement de statistiques commerciales bilatérales cohérentes et équilibrées.</p><p>Remarque:</p> <li>Dans ITIC, la zone de référence correspond à l'importateur, tandis que la zone de contrepartie est l'exportateur.</li> <li>La marge est calculée comme (CAF-FAB)/CAF et représente le pourcentage de la valeur CAF des importations correspondant aux coûts de transport et d'assurance internationaux.</li> <li>CAF = Coût, Assurance et Fret</li> <li>FAB = Franco à Bord</li> </ul> <p> Pour plus d'informations sur la méthodologie, veuillez-vous référer au document de travail accompagnant cette base de données (uniquement disponible en anglais)<a href="https://www.oecd-ilibrary.org/economics/recent-trends-in-transport-and-insurance-costs-and-estimates-at-disaggregated-product-level_b5dbab02-en?crawler=true" > Recent trends in transport and insurance costs and estimates at disaggregated product level </a></p> <p>Les utilisateurs sont encouragés à envoyer leurs questions, ou à signaler toute erreur apparente, concernant cette base de données à <a href="mailto:STAT.Contact@oecd.org">STAT.Contact@oecd.org</a></p> <div><a href="http://www.oecd.org/sdd">http://www.oecd.org/sdd</a></div> NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z NOT_DISPLAYED FREQ=Q,LASTNPERIODS=7,MEASURE=EMP,ACTIVITY=BTE,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Employed population by economic activity Population occupée par activités économiques <p>The infra-annual dataflow on employed population by economic activity is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the working age population by economic activity (Agriculture, Manufacturing, Industry including and excluding construction, Construction and Services) and associated statistical methodological information, for the OECD member countries and for selected other economies. </p><p>The employed population commonly comprises employed persons “at work”(i.e. who worked in a job for at least one hour) and employed persons “not at work” due to temporary absence from a job, or to working-time arrangements (such as shift work, flexitime and compensatory leave for overtime). </p><p>The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable. Data disaggregated by economic activity are provided according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC), namely Revision 4.</p> <p>Le flux de données infra-annuelles sur la population occupée par activité économique est un sous-ensemble de la base de données infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la population en âge de travailler par activité économique (Agriculture, Industrie manufacturière, Industrie y compris et hors construction, Construction et Services) ainsi que des informations méthodologiques statistiques associées, pour les pays membres de l'OCDE et pour d'autres économies sélectionnées.</p><p> La population occupée comprend généralement les personnes occupées "au travail" (c'est-à-dire qui ont occupé un emploi pendant au moins une heure) et les personnes occupées "non au travail" en raison d'une absence temporaire d'un emploi ou d'aménagements du temps de travail (tels que le travail posté, les horaires flexibles et les congés compensatoires pour les heures supplémentaires). </p><p>Les statistiques infra-annuelles du travail compilées pour tous les pays membres de l'OCDE sont tirées des enquêtes sur la force de travail basées sur la définition fournie par la 19e Conférence des statisticiens du travail en 2013. L'application uniforme de ces définitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations qui sont comparables au niveau international. Les données ventilées par activité économique sont fournies selon la dernière version de la Classification internationale type par industrie de toutes les branches d'activité économique (CITI), à savoir la révision 4.</p> NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z NOT_DISPLAYED FREQ=Q,LASTNPERIODS=7,MEASURE=EMP,AGE=Y15T64,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Employed population by age groups Population occupée par groupes d'age <p>The infra-annual dataflow on employed population by age groups is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly quarterly statistics on the employed population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information, for the OECD member countries and selected other economies. </p><p>The employed population commonly comprises employed persons “at work”(i.e. who worked in a job for at least one hour) and employed persons “not at work” due to temporary absence from a job, or to working-time arrangements (such as shift work, flexitime and compensatory leave for overtime). </p><p>The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.</p> <p>Le flux de données infra-annuelles sur la population occupée par groupes d’âge est un sous-ensemble de la base de données infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la population en âge de travailler par groupes d'âge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsque ces données sont disponibles) et par sexe, ainsi que des informations méthodologiques statistiques associées, pour les pays membres de l'OCDE et pour d'autres économies sélectionnées.</p><p> La population occupée comprend généralement les personnes occupées "au travail" (c'est-à-dire qui ont occupé un emploi pendant au moins une heure) et les personnes occupées "non au travail" en raison d'une absence temporaire d'un emploi ou d'aménagements du temps de travail (tels que le travail posté, les horaires flexibles et les congés compensatoires pour les heures supplémentaires). </p><p>Les statistiques infra-annuelles du travail compilées pour tous les pays membres de l'OCDE sont tirées des enquêtes sur la force de travail basées sur la définition fournie par la 19e Conférence des statisticiens du travail en 2013. L'application uniforme de ces définitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations qui sont comparables au niveau international.</p> NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z NOT_DISPLAYED FREQ=Q,LASTNPERIODS=7,MEASURE=EMP_WAP,AGE=Y15T64,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Employment rate Taux d'emploi <p>The infra-annual dataflow on employment rate is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the working age population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information and associated statistical methodological information, for the OECD member countries and for selected other economies. </p><p>The employment rate is calculated as the number of employed persons as a percentage of the working age population. The employed population commonly comprises employed persons “at work”(i.e. who worked in a job for at least one hour) and employed persons “not at work” due to temporary absence from a job, or to working-time arrangements (such as shift work, flexitime and compensatory leave for overtime). </p><p>The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.</p> <p>Le flux de données infra-annuelles sur le taux d'emploi est un sous-ensemble de la base de données infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la population en âge de travailler par groupes d'âge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsque ces données sont disponibles) et par sexe, ainsi que des informations méthodologiques statistiques associées, pour les pays membres de l'OCDE et pour d'autres économies sélectionnées. Le taux d'emploi est calculé comme le rapport du nombre de personnes occupées en pourcentage de la population en âge de travailler. </p><p>La population occupée comprend généralement les personnes occupées "au travail" (c'est-à-dire qui ont occupé un emploi pendant au moins une heure) et les personnes occupées "non occupées" en raison d'une absence temporaire d'un emploi ou d'aménagements du temps de travail (tels que le travail posté, les horaires flexibles et les congés compensatoires pour les heures supplémentaires). </p><p>Les statistiques infra-annuelles du travail compilées pour tous les pays membres de l'OCDE sont tirées des enquêtes sur la force de travail basées sur la définition fournie par la 19e Conférence des statisticiens du travail en 2013. L'application uniforme de ces définitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations qui sont comparables au niveau international.</p> NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z NOT_DISPLAYED FREQ=M,LASTNPERIODS=13,MEASURE=UNE_LF_M,AGE=Y_GE15,SEX=_T,ADJUSTMENT=Y DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Infra-annual labour statistics Statistiques infra-annuelles du travail <p>The infra-annual labour statistics dataset contains predominantly monthly and quarterly labour statistics, and associated statistical methodological information, for the OECD member countries and selected other economies. It covers countries that compile labour statistics from sample household surveys on a monthly or quarterly basis. It is widely accepted that household surveys are the best source for labour market key statistics. In such surveys, information is collected from people living in households through a representative sample and the surveys are based on standard methodology and procedures used internationally. </p><p>The subjects available cover: working age population by age; active and inactive labour force by age; employment by economic activity, by working time and by status; and, unemployment (including monthly unemployment) by age and by duration. Data is expressed in levels (thousands of persons) or rates (e.g. employment rate) where applicable. The relationship between these several measures are as follow:</p><p>• Working age population = Labour force population + Inactive population</p><p>• Labour force population = Employed population + Unemployed population</p><p>• Employment rate = Employed population / Working age population</p><p>• Unemployment rate = Unemployed population / Labour force population</p><p>• Labour force participation rate = Labour force population / Working age population</p> <p>The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.</p> <p>L'ensemble de données infra-annuelles sur les statistiques du travail contient principalement des statistiques du travail mensuelles et trimestrielles, ainsi que des informations méthodologiques statistiques associées, pour les pays membres de l'OCDE et d'autres économies sélectionnées. Il couvre les pays qui compilent des statistiques du travail à partir d'enquêtes par sondage auprès des ménages sur une base mensuelle ou trimestrielle. Il est largement admis que les enquêtes auprès des ménages constituent la meilleure source de statistiques clés sur le marché du travail. Dans ces enquêtes, les informations sont collectées auprès des personnes vivant dans un ménage par le biais d'un échantillon représentatif et les enquêtes sont basées sur une méthodologie et des procédures standard utilisées au niveau international. </p><p>Les sujets disponibles couvrent : la population en âge de travailler par âge ; la main-d'œuvre active et inactive par âge ; l'emploi par activité économique, par temps de travail et par statut ; et le chômage (y compris le chômage mensuel) par âge et par durée. Les données sont exprimées en niveaux (milliers de personnes) ou en taux (par exemple, le taux d'emploi), le cas échéant. La relation entre ces différentes mesures est la suivante : <p>• Population en âge de travailler = population active + population inactive</p><p> <p>• Population active = population active occupée + population inactive</p><p> <p>• Taux d'emploi = population employée / population en âge de travailler</p><p> <p>• Taux de chômage = population au chômage / population active</p><p> <p>• Taux d'activité = population active / population en âge de travailler</p><p> <p>Les statistiques infra-annuelles du travail compilées pour tous les pays membres de l'OCDE sont tirées des enquêtes sur la force de travail basées sur la définition fournie par la 19e Conférence des statisticiens du travail en 2013. L'application uniforme de ces définitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations qui sont comparables au niveau international.</p> NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z NOT_DISPLAYED FREQ=Q,LASTNPERIODS=7,MEASURE=LF,AGE=Y15T64,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Labour force population Population active <p>The infra-annual dataflow on labour force population is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the working age population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information and associated statistical methodological information, for the OECD member countries and for selected other economies. </p><p>The labour force population is commonly defined as the sum of all persons of working age who are employed and those who are unemployed. </p><p> The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.</p> <p>Le flux de données infra-annuelles sur la population active est un sous-ensemble de la base de données infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la la population active par groupes d'âge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsque les données sont disponibles) et par sexe ainsi que des informations méthodologiques statistiques associées, pour les pays membres de l'OCDE et pour d'autres économies sélectionnées. </p><p>La population active est généralement définie comme la somme de toutes les personnes en âge de travailler qui ont un emploi et de celles qui sont au chômage. </p><p>Les statistiques infra-annuelles du travail compilées pour tous les pays membres de l'OCDE sont tirées des enquêtes sur la force de travail basées sur la définition fournie par la 19e Conférence des statisticiens du travail en 2013. L'application uniforme de ces définitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations qui sont comparables au niveau international.</p> NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z NOT_DISPLAYED FREQ=Q,LASTNPERIODS=7,MEASURE=LF_WAP,AGE=Y15T64,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Labour force participation rate Taux d'activité <p>The infra-annual dataflow on the labour force participation rate is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the labour force participation rate by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information and associated statistical methodological information, for the OECD member countries and for selected other economies. </p><p>The labour force participation rate is calculated as the number of the labour force population as a percentage of the working age population. </p><p>The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.</p> <p>Le flux de données infra-annuelles sur le taux d'activité est un sous-ensemble de la base de données infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur le taux d'activité par groupe d'âge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsqu'elles sont disponibles) et par sexe, ainsi que des informations méthodologiques statistiques associées, pour les pays membres de l'OCDE et pour d'autres économies sélectionnées. </p><p>Le taux d'activité est calculé comme le rapport le rapport du nombre de personnes actives en pourcentage de la population en âge de travailler. </p><p>Les statistiques infra-annuelles du travail compilées pour tous les pays membres de l'OCDE sont tirées d'enquêtes sur les forces de travail basées sur la définition fournie par la 19e Conférence des statisticiens du travail en 2013. L'application uniforme de ces définitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations comparables au niveau international.</p> NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z NOT_DISPLAYED FREQ=Q,LASTNPERIODS=7,MEASURE=OLF_WAP,AGE=Y15T64,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Population outside the labour force Population inactive <p>The infra-annual dataflow on the outside the labour force population is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the outside the labour force population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information and associated statistical methodological information, for the OECD member countries and for selected other economies. </p><p>The persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed).</p><p> The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.</p> <p>Le flux de données infra-annuelles sur la population inactive est un sous-ensemble de la base de données infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la population inactive par groupe d'âge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsque ces données sont disponibles) et par sexe, ainsi que des informations méthodologiques statistiques associées, pour les pays membres de l'OCDE et pour d'autres économies sélectionnées. </p><p>Les personnes hors de la population active comprennent toutes les personnes en âge de travailler qui, au cours de la période de référence spécifiée, ne faisaient pas partie de la population active (c'est-à-dire qu'elles n'étaient ni occupées ni au chômage). </p><p>Les statistiques infra-annuelles du travail compilées pour tous les pays membres de l'OCDE sont tirées des enquêtes sur les forces de travail basées sur la définition fournie par la 19e Conférence des statisticiens du travail en 2013. L'application uniforme de ces définitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations comparables au niveau international.</p> NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z NOT_DISPLAYED FREQ=M,LASTNPERIODS=13,MEASURE=UNE_LF_M,AGE=Y_GE15,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Monthly unemployment levels Niveaux de chômage mensuels <p>The infra-annual dataflow on the monthly unemployed population is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the unemployed population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information and associated statistical methodological information, for the OECD member countries and for selected other economies. </p><p>The unemployed are persons in their working age who, in the reference period, do not have a job; are available for work; and, have taken specific steps to find a job. </p><p>The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.</p><p> <p>Le flux de données infra-annuelles sur la population mensuelle au chômage est un sous-ensemble de la base de données infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la population au chômage par groupe d'âge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsque ces données sont disponibles) et par sexe, ainsi que des informations statistiques méthodologiques associées, pour les pays membres de l'OCDE et pour d'autres économies sélectionnées. </p><p>Les chômeurs sont des personnes en âge de travailler qui, au cours de la période de référence, n'ont pas d'emploi, sont disponibles pour travailler et ont entrepris des démarches spécifiques pour trouver un emploi. </p><p>Les statistiques infra-annuelles du travail compilées pour tous les pays membres de l'OCDE sont tirées des enquêtes sur les forces de travail basées sur la définition fournie par la 19e Conférence des statisticiens du travail en 2013. L'application uniforme de ces définitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations comparables au niveau international.</p> NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z NOT_DISPLAYED FREQ=M,LASTNPERIODS=13,MEASURE=UNE_M,AGE=Y_GE15,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Monthly unemployment rates Taux de chômage mensuels <p>The infra-annual dataflow on the monthly unemployment rate is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the unemployed population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information and associated statistical methodological information, for the OECD member countries and for selected other economies. </p><p>The unemployment rate is calculated as the number of unemployed persons as a percentage of the labour force (i.e., the unemployed plus those in employment). The unemployed are persons in their working age who, in the reference period, do not have a job; are available for work; and, have taken specific steps to find a job. </p><p>The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.</p> <p>Le flux de données infra-annuelles sur le taux de chômage mensuel est un sous-ensemble de la base de données infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la population au chômage par groupe d'âge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsque ces données sont disponibles) et par sexe, ainsi que des informations méthodologiques statistiques associées, pour les pays membres de l'OCDE et pour d'autres économies sélectionnées. </p><p>Le taux de chômage est calculé comme le nombre de chômeurs en pourcentage de la population active (c'est-à-dire les chômeurs plus les personnes ayant un emploi). Les chômeurs sont des personnes en âge de travailler qui, au cours de la période de référence, n'ont pas d'emploi, sont disponibles pour travailler et ont entrepris des démarches spécifiques pour trouver un emploi.</p><p> Les statistiques infra-annuelles du travail compilées pour tous les pays membres de l'OCDE sont tirées des enquêtes sur les forces de travail basées sur la définition fournie par la 19e Conférence des statisticiens du travail en 2013. L'application uniforme de ces définitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations comparables au niveau international.</p> NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z NOT_DISPLAYED FREQ=Q,LASTNPERIODS=7,MEASURE=UNE,AGE=Y_GE15,SEX=_T,ADJUSTMENT=Y,TRANSFORMATION=_Z DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Unemployed population Population au chômage <p>The infra-annual dataflow on the unemployed population is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the unemployed population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information and associated statistical methodological information, for the OECD member countries and for selected other economies. </p><p>The unemployed are persons in their working age who, in the reference period, do not have a job; are available for work; and, have taken specific steps to find a job. </p><p>The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.</p> <p>Le flux de données infra-annuelles sur la population au chômage est un sous-ensemble de la base de données infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la population au chômage par groupe d'âge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsque ces données sont disponibles) et par sexe, ainsi que des informations méthodologiques statistiques associées, pour les pays membres de l'OCDE et pour d'autres économies sélectionnées. </p><p>Les chômeurs sont des personnes en âge de travailler qui, au cours de la période de référence, n'ont pas d'emploi, sont disponibles pour travailler et ont entrepris des démarches spécifiques pour trouver un emploi. </p><p>Les statistiques infra-annuelles du travail compilées pour tous les pays membres de l'OCDE sont tirées des enquêtes sur les forces de travail basées sur la définition fournie par la 19e Conférence des statisticiens du travail en 2013. L'application uniforme de ces définitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations comparables au niveau international.</p> NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ACTIVITY=_Z NOT_DISPLAYED FREQ=Q,LASTNPERIODS=7,MEASURE=WAP,AGE=Y15T64,SEX=_T,ADJUSTMENT=Y DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Working-age population Population en âge de travailler <p>The infra-annual dataflow on working age population is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the working age population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information, for the OECD member countries and selected other economies. </p><p>The working-age population is commonly defined as persons aged 15 years and older. </p><p>The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.</p> <p>Le flux de données infra-annuelles sur la population en âge de travailler est un sous-ensemble de la base de données infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles sur la population en âge de travailler par groupes d'âge (15+, 15-24, 25-54, 55-64, 15-64 et 15-74 lorsque les données sont disponibles) et par sexe ainsi que des informations méthodologiques statistiques associées, pour les pays membres de l'OCDE et pour d'autres économies sélectionnées. </p><p>La population en âge de travailler est généralement définie comme les personnes âgées de 15 ans et plus. </p><p>Les statistiques infra-annuelles du travail compilées pour tous les pays membres de l'OCDE sont tirées des enquêtes sur la force de travail basées sur la définition fournie par la 19e Conférence des statisticiens du travail en 2013. L'application uniforme de ces définitions dans tous les pays membres de l'OCDE permet d'obtenir des estimations qui sont comparables au niveau international.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED FREQ=M,LASTNPERIODS=13,MEASURE=REG_UNE+REG_UNE_LF+VAC_N+VAC_U,ADJUSTMENT=Y,TRANSFORMATION=_Z+B1 DEFAULT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Infra-annual registered unemployment and job vacancies Statistiques infra-annuelles du chômage administratif et des offres d'emploi <p>The Registered Unemployment and Job Vacancies statistics is a subset of the Infra-annual Labour Force Statistics database, which contains predominantly quarterly and monthly statistics, and associated statistical methodological information, for the OECD member countries and selected other economies. </p><p>There are basically two sources for unemployment statistics: labour force surveys and administrative data. Surveys are based on standard methodology and procedures used all over the world while administrative data are subject to national legislations which evolve through time. Consequently registered unemployment data are not comparable across countries. The relationship between survey and registered unemployment is not the same for all countries. Number of registered unemployed persons and registered unemployment rates are presented here because they are monthly and quickly available after their reference period. </p><p>The job vacancies data provides estimates of the number of unfilled job vacancies across national economies. Series give an indication of the labour demand while the unemployment is linked with the labour supply.</p> <p>L'ensemble de données infra-annuelles sur le chômage administratif et les offres d'emploi est un sous-ensemble de la base de données infra-annuelle des statistiques du travail, qui contient principalement des statistiques mensuelles et trimestrielles ainsi que des informations méthodologiques statistiques associées, pour les pays membres de l'OCDE et pour d'autres économies sélectionnées. </p><p>Il existe essentiellement deux sources de statistiques sur le chômage : les enquêtes sur la force de travail et les données administratives. Les enquêtes sont basées sur une méthodologie et des procédures standard utilisées dans le monde entier, tandis que les données administratives sont soumises à des législations nationales qui évoluent au fil du temps. Par conséquent, les données sur le chômage administratif ne sont pas comparables d'un pays à l'autre. La relation entre l'enquête et le chômage administratif n'est pas la même dans tous les pays. Le nombre de chômeurs inscrits et les taux de chômage administratif sont présentés ici parce qu'ils sont mensuels et rapidement disponibles après leur période de référence. </p><p>Les données sur les emplois vacants fournissent des estimations du nombre d'emplois vacants non pourvus dans les économies nationales. Les séries donnent une indication de la demande de main-d'œuvre, tandis que le chômage est lié à l'offre de main-d'œuvre.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ADJUSTMENT=_Z,PRICE_BASE=_Z,ACTIVITY=_T,CONVERSION_TYPE=_Z NOT_DISPLAYED REF_AREA=FRA DEFAULT COMBINED_MEASURE:MEASURE,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,CONVERSION_TYPE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Productivity growth rates Croissance de la productivité The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis: each variable in the dataset is made publicly available as soon as it is updated in the sources databases. The productivity database contains data on labour productivity both measured using employment or hours worked and the compenents of capital and labour inputs. The productivity database in levels, in growth rates and by industry contains annual data, while the database on productivity and unit labour costs are quarterly estimates. Further information for all datasets and the methodology may be found in the attached file <a href="https://www.oecd.org/content/dam/oecd/en/data/methods/OECD-Productivity-Statistics-Database-metadata.pdf">OECD-Productivity-Statistics-Database-metadata</a></p> La base de données de l'OCDE sur la productivité vise à fournir aux utilisateurs les estimations de productivité les plus complètes et les plus récentes. Le cycle de mise à jour est continu : chaque variable de l'ensemble de données est rendue publique dès qu'elle est mise à jour dans les bases de données sources. La base de données sur la productivité contient des données sur la productivité du travail, mesurées à la fois en utilisant l'emploi ou les heures travaillées et les composantes du capital et du travail. La base de données sur la productivité en niveaux, en taux de croissance et par industrie contient des données annuelles, tandis que la base de données sur la productivité et les coûts unitaires de main-d'œuvre sont des estimations trimestrielles. De plus amples informations sur tous les ensembles de données et la méthodologie peuvent être trouvées dans le fichier ci-joint. <a href="https://www.oecd.org/content/dam/oecd/en/data/methods/OECD-Productivity-Statistics-Database-metadata.pdf">OECD-Productivity-Statistics-Database-metadata</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW ACTIVITY LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ADJUSTMENT=_Z,PRICE_BASE=_Z,ACTIVITY=_T,CONVERSION_TYPE=_Z NOT_DISPLAYED LASTNPERIODS=1,ACTIVITY = BEXCL,MEASURE=GVAHRS,TRANSFORMATION=G1 DEFAULT COMBINED_MEASURE:MEASURE,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER,CONVERSION_TYPE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 10000 MAX_TABLE_DATA Productivity by industry Productivité par principale activité économique The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis: each variable in the dataset is made publicly available as soon as it is updated in the sources databases. The productivity database contains data on labour productivity both measured using employment or hours worked and the compenents of capital and labour inputs. The productivity database in levels, in growth rates and by industry contains annual data, while the database on productivity and unit labour costs are quarterly estimates. Further information for all datasets and the methodology may be found in the attached file <a href="https://www.oecd.org/content/dam/oecd/en/data/methods/OECD-Productivity-Statistics-Database-metadata.pdf">OECD-Productivity-Statistics-Database-metadata</a></p> La base de données de l'OCDE sur la productivité vise à fournir aux utilisateurs les estimations de productivité les plus complètes et les plus récentes. Le cycle de mise à jour est continu : chaque variable de l'ensemble de données est rendue publique dès qu'elle est mise à jour dans les bases de données sources. La base de données sur la productivité contient des données sur la productivité du travail, mesurées à la fois en utilisant l'emploi ou les heures travaillées et les composantes du capital et du travail. La base de données sur la productivité en niveaux, en taux de croissance et par industrie contient des données annuelles, tandis que la base de données sur la productivité et les coûts unitaires de main-d'œuvre sont des estimations trimestrielles. De plus amples informations sur tous les ensembles de données et la méthodologie peuvent être trouvées dans le fichier ci-joint. <a href="https://www.oecd.org/content/dam/oecd/en/data/methods/OECD-Productivity-Statistics-Database-metadata.pdf">OECD-Productivity-Statistics-Database-metadata</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ADJUSTMENT=_Z,PRICE_BASE=_Z,ACTIVITY=_T,CONVERSION_TYPE=_Z NOT_DISPLAYED MEASURE=GDPHRS DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER,CONVERSION_TYPE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Productivity levels Niveau de la productivité The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis: each variable in the dataset is made publicly available as soon as it is updated in the sources databases. The productivity database contains data on labour productivity both measured using employment or hours worked and the compenents of capital and labour inputs. The productivity database in levels, in growth rates and by industry contains annual data, while the database on productivity and unit labour costs are quarterly estimates. Further information for all datasets and the methodology may be found in the attached file <a href="https://www.oecd.org/content/dam/oecd/en/data/methods/OECD-Productivity-Statistics-Database-metadata.pdf">OECD-Productivity-Statistics-Database-metadata</a></p> La base de données de l'OCDE sur la productivité vise à fournir aux utilisateurs les estimations de productivité les plus complètes et les plus récentes. Le cycle de mise à jour est continu : chaque variable de l'ensemble de données est rendue publique dès qu'elle est mise à jour dans les bases de données sources. La base de données sur la productivité contient des données sur la productivité du travail, mesurées à la fois en utilisant l'emploi ou les heures travaillées et les composantes du capital et du travail. La base de données sur la productivité en niveaux, en taux de croissance et par industrie contient des données annuelles, tandis que la base de données sur la productivité et les coûts unitaires de main-d'œuvre sont des estimations trimestrielles. De plus amples informations sur tous les ensembles de données et la méthodologie peuvent être trouvées dans le fichier ci-joint. <a href="https://www.oecd.org/content/dam/oecd/en/data/methods/OECD-Productivity-Statistics-Database-metadata.pdf">OECD-Productivity-Statistics-Database-metadata</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,TRANSFORMATION=_Z,ADJUSTMENT=_Z,PRICE_BASE=_Z,ACTIVITY=_T,CONVERSION_TYPE=NC,CONVERSION_TYPE=_Z NOT_DISPLAYED COMBINED_MEASURE:MEASURE,TRANSFORMATION,ADJUSTMENT;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER,CONVERSION_TYPE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Productivity and unit labour costs Productivié et CUM The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis: each variable in the dataset is made publicly available as soon as it is updated in the sources databases. The productivity database contains data on labour productivity both measured using employment or hours worked and the compenents of capital and labour inputs. The productivity database in levels, in growth rates and by industry contains annual data, while the database on productivity and unit labour costs are quarterly estimates. Further information for all datasets and the methodology may be found in the attached file <a href="https://www.oecd.org/content/dam/oecd/en/data/methods/OECD-Productivity-Statistics-Database-metadata.pdf">OECD-Productivity-Statistics-Database-metadata</a></p> La base de données de l'OCDE sur la productivité vise à fournir aux utilisateurs les estimations de productivité les plus complètes et les plus récentes. Le cycle de mise à jour est continu : chaque variable de l'ensemble de données est rendue publique dès qu'elle est mise à jour dans les bases de données sources. La base de données sur la productivité contient des données sur la productivité du travail, mesurées à la fois en utilisant l'emploi ou les heures travaillées et les composantes du capital et du travail. La base de données sur la productivité en niveaux, en taux de croissance et par industrie contient des données annuelles, tandis que la base de données sur la productivité et les coûts unitaires de main-d'œuvre sont des estimations trimestrielles. De plus amples informations sur tous les ensembles de données et la méthodologie peuvent être trouvées dans le fichier ci-joint. <a href="https://www.oecd.org/content/dam/oecd/en/data/methods/OECD-Productivity-Statistics-Database-metadata.pdf">OECD-Productivity-Statistics-Database-metadata</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW ANALYTICAL_CATEGORIES LAYOUT_COLUMN MEASURE,UNIT_MEASURE,BASE_REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,TRANSFORMATION=_Z,UNIT_MEASURE=IX,BASE_REF_AREA=_Z,FREQ,REF_AREA=WXOECD NOT_DISPLAYED MEASURE=PPP,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,BASE_REF_AREA=OECD DEFAULT BASE_REF_AREA:OECD.SDD.TPS:HCL_AREA_PPP(1.0).H_EN.H,UNIT_MEASURE:OECD.SDD.TPS:HCL_UNIT_MEASURE_PPP(1.0).H_EN.H,TRANSFORMATION:OECD.SDD.TPS:HCL_TRANSFORMATION_PPP(1.0).H_EN.H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 200000 MAX_TABLE_DATA PPA résultats détaillés, depuis 2020 PPP detailed results, 2020 onwards <p>Ce jeu de données contient les résultats détaillés du Programme conjoint Eurostat-OCDE de Parités de Pouvoir d'Achat pour les 48 pays participants à partir de 2020. La production des PPA est un exercice multilatéral impliquant les Instituts Statistiques Nationaux des pays participants, Eurostat et l'OCDE. Des indicateurs avec l'OCDE comme référence et avec l'Union européenne comme référence sont présentés dans ce jeu de données.</p> <p>Les données jusqu'en 2021 sont définitives, celles de 2022 sont quasi-définitives et celles de 2023 sont préliminaires. La prochaine mise à jour inclura :</p> <ul> <li>Première estimation du PPP pour le PIB 2024 en mars,</li> <li>Mise à jour du PPP pour le PIB, AIC et HFC 2024 en juin,</li> <li>Mise à jour de toutes les catégories analytiques, 2022-2023 et 2024, en décembre.</li> </ul> <p>This dataset contains detailed results of the joint Eurostat-OECD Purchasing Power Parities Programme for the 48 participating countries from 2020 onwards. The production of PPPs is a multilateral exercise involving the National Statistical Institutes of the participating countries, Eurostat and the OECD. Indicators with OECD as reference and with the European Union as reference are presented in this dataset.</p> <p>Data until 2021 is final, 2022 is quasi-final, and 2023 is preliminary. The next update will include:</p> <ul> <li>First estimate for PPP for GDP 2024 in March,</li> <li>Update for PPP for GDP, AIC, and HFC 2024 in June,</li> <li>Update for all analytical categories, 2022-2023 and 2024, in December.</li> </ul> NonProductionDataflow true REF_AREA LAYOUT_ROW ANALYTICAL_CATEGORIES LAYOUT_COLUMN MEASURE,UNIT_MEASURE,BASE_REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,TRANSFORMATION=_Z,UNIT_MEASURE=IX,BASE_REF_AREA=_Z,FREQ,REF_AREA=WXOECD NOT_DISPLAYED LASTNPERIODS=4 DEFAULT BASE_REF_AREA:OECD.SDD.TPS:HCL_AREA_PPP(1.0).H_EN.H,UNIT_MEASURE:OECD.SDD.TPS:HCL_UNIT_MEASURE_PPP(1.0).H_EN.H,TRANSFORMATION:OECD.SDD.TPS:HCL_TRANSFORMATION_PPP(1.0).H_EN.H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 90000 MAX_TABLE_DATA PPA résultats détaillés, Indices de niveaux de prix PPP detailed results, Price level indices NonProductionDataflow true REF_AREA LAYOUT_ROW ANALYTICAL_CATEGORIES LAYOUT_COLUMN MEASURE,UNIT_MEASURE,BASE_REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,TRANSFORMATION=_Z,UNIT_MEASURE=IX,BASE_REF_AREA=_Z,FREQ,REF_AREA=WXOECD NOT_DISPLAYED LASTNPERIODS=4 DEFAULT BASE_REF_AREA:OECD.SDD.TPS:HCL_AREA_PPP(1.0).H_EN.H,UNIT_MEASURE:OECD.SDD.TPS:HCL_UNIT_MEASURE_PPP(1.0).H_EN.H,TRANSFORMATION:OECD.SDD.TPS:HCL_TRANSFORMATION_PPP(1.0).H_EN.H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 90000 MAX_TABLE_DATA PPA résultats détaillés, Dépenses nominales PPP detailed results, Nominal expenditure NonProductionDataflow true REF_AREA LAYOUT_ROW ANALYTICAL_CATEGORIES LAYOUT_COLUMN MEASURE,UNIT_MEASURE,BASE_REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,TRANSFORMATION=_Z,UNIT_MEASURE=IX,BASE_REF_AREA=_Z,FREQ,REF_AREA=WXOECD NOT_DISPLAYED LASTNPERIODS=4 DEFAULT BASE_REF_AREA:OECD.SDD.TPS:HCL_AREA_PPP(1.0).H_EN.H,UNIT_MEASURE:OECD.SDD.TPS:HCL_UNIT_MEASURE_PPP(1.0).H_EN.H,TRANSFORMATION:OECD.SDD.TPS:HCL_TRANSFORMATION_PPP(1.0).H_EN.H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 90000 MAX_TABLE_DATA PPA résultats détaillés, Dépenses nominales en pourcentage du PIB PPP detailed results, Nominal expenditure as a percentage of GDP NonProductionDataflow true REF_AREA LAYOUT_ROW ANALYTICAL_CATEGORIES LAYOUT_COLUMN MEASURE,UNIT_MEASURE,BASE_REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,TRANSFORMATION=_Z,UNIT_MEASURE=IX,BASE_REF_AREA=_Z,FREQ,REF_AREA=WXOECD NOT_DISPLAYED LASTNPERIODS=4 DEFAULT BASE_REF_AREA:OECD.SDD.TPS:HCL_AREA_PPP(1.0).H_EN.H,UNIT_MEASURE:OECD.SDD.TPS:HCL_UNIT_MEASURE_PPP(1.0).H_EN.H,TRANSFORMATION:OECD.SDD.TPS:HCL_TRANSFORMATION_PPP(1.0).H_EN.H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 90000 MAX_TABLE_DATA PPA résultats détaillés, Dépenses nominales PPP detailed results, Nominal expenditure per capita NonProductionDataflow true REF_AREA LAYOUT_ROW ANALYTICAL_CATEGORIES LAYOUT_COLUMN MEASURE,UNIT_MEASURE,BASE_REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,TRANSFORMATION=_Z,UNIT_MEASURE=IX,BASE_REF_AREA=_Z,FREQ,REF_AREA=WXOECD NOT_DISPLAYED LASTNPERIODS=4 DEFAULT BASE_REF_AREA:OECD.SDD.TPS:HCL_AREA_PPP(1.0).H_EN.H,UNIT_MEASURE:OECD.SDD.TPS:HCL_UNIT_MEASURE_PPP(1.0).H_EN.H,TRANSFORMATION:OECD.SDD.TPS:HCL_TRANSFORMATION_PPP(1.0).H_EN.H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 90000 MAX_TABLE_DATA PPA résultats détaillés, Parités de Pouvoir d'Achat PPP detailed results, Purchasing power parities NonProductionDataflow true REF_AREA LAYOUT_ROW ANALYTICAL_CATEGORIES LAYOUT_COLUMN MEASURE,UNIT_MEASURE,BASE_REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,TRANSFORMATION=_Z,UNIT_MEASURE=IX,BASE_REF_AREA=_Z,FREQ,REF_AREA=WXOECD NOT_DISPLAYED LASTNPERIODS=4 DEFAULT BASE_REF_AREA:OECD.SDD.TPS:HCL_AREA_PPP(1.0).H_EN.H,UNIT_MEASURE:OECD.SDD.TPS:HCL_UNIT_MEASURE_PPP(1.0).H_EN.H,TRANSFORMATION:OECD.SDD.TPS:HCL_TRANSFORMATION_PPP(1.0).H_EN.H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 90000 MAX_TABLE_DATA PPA résultats détaillés, Dépenses réelles en PPA PPP detailed results, Real expenditure in PPPs NonProductionDataflow true REF_AREA LAYOUT_ROW ANALYTICAL_CATEGORIES LAYOUT_COLUMN MEASURE,UNIT_MEASURE,BASE_REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,TRANSFORMATION=_Z,UNIT_MEASURE=IX,BASE_REF_AREA=_Z,FREQ,REF_AREA=WXOECD NOT_DISPLAYED LASTNPERIODS=4 DEFAULT BASE_REF_AREA:OECD.SDD.TPS:HCL_AREA_PPP(1.0).H_EN.H,UNIT_MEASURE:OECD.SDD.TPS:HCL_UNIT_MEASURE_PPP(1.0).H_EN.H,TRANSFORMATION:OECD.SDD.TPS:HCL_TRANSFORMATION_PPP(1.0).H_EN.H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 90000 MAX_TABLE_DATA PPA résultats détaillés, Dépenses réelles par tête en PPA PPP detailed results, Real expenditure per capita in PPPs NonProductionDataflow true REF_AREA LAYOUT_ROW ANALYTICAL_CATEGORIES LAYOUT_COLUMN MEASURE,UNIT_MEASURE,BASE_REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,TRANSFORMATION=_Z,UNIT_MEASURE=IX,BASE_REF_AREA=_Z,FREQ,REF_AREA=WXOECD NOT_DISPLAYED LASTNPERIODS=4 DEFAULT BASE_REF_AREA:OECD.SDD.TPS:HCL_AREA_PPP(1.0).H_EN.H,UNIT_MEASURE:OECD.SDD.TPS:HCL_UNIT_MEASURE_PPP(1.0).H_EN.H,TRANSFORMATION:OECD.SDD.TPS:HCL_TRANSFORMATION_PPP(1.0).H_EN.H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 90000 MAX_TABLE_DATA PPA résultats détaillés, Indices de volume des dépenses réelles par tête PPP detailed results, Volume indices of real expenditure per capita NonProductionDataflow true REF_AREA LAYOUT_ROW COUNTERPART_AREA,CURRENCY LAYOUT_COLUMN UNIT_MEASURE=IX,OBS_STATUS,CURRENCY NOT_DISPLAYED LASTNPERIODS=1 DEFAULT Monthly comparative price levels Niveaux de prix comparés mensuels <p>This dataset contains monthly Comparative Price Levels (CPL) for OECD countries. CPLs are defined as the ratios of PPPs for private final consumption expenditure to exchange rates. They provide measures of differences in price levels between countries. The monthly PPPs used to derive the table are OECD estimates. The table is to be read vertically. Each column shows the number of specified monetary units needed in each of the countries listed to buy the same representative basket of consumer goods and services. In each case the representative basket costs a hundred units in the country whose currency is specified. Let’s take an example. If you are a Canadian citizen and you want to know the price level in Canada when compared to other countries, you have to look at the column Canada, where the price level is set at 100 for the whole column. If you have 120 for Finland, it means that the price level in Finland is 20% higher than in Canada. It means that you would spend 120 dollars in Finland to buy the same basket of goods and services when you spend 100 in Canada. </p> <p> The monthly PPPs used to derive the table are obtained by extrapolating 2022 PPPs for household final consumption expenditure using the relative rates of inflation between the countries as measured by their consumer price indices. Unless a country is a high inflation country, its PPP will tend to change slowly over time. Month-to-month changes in comparative price levels are more likely to be the result of exchange rate fluctuations. </p> <p> Updated data are available at the beginning of each month. <br> <a href="https://www.oecd.org/en/data/datasets/purchasing-power-parities.html#CPLreleasedates" target="_blank">Click here for release dates</a></p> <p> OECD statistics contact: stat.contact@oecd.org <p>Ce tableau présente les niveaux de prix comparés pour les pays de l'OCDE. Les niveaux de prix comparés sont définis comme les rapports des PPA de la consommation finale privée et des taux de change. Ils mesurent les différences de niveaux de prix entre les pays. Les PPA mensuelles utilisées ici sont des estimations de l'OCDE. Ce tableau se lit verticalement. Chaque colonne montre, pour tous les pays de la liste, le nombre d'unités monétaires nationales permettant d'acheter, dans chacun de ces pays, le même panier représentatif de biens et services. Le panier représentatif coûte 100 unités dans le pays pour lequel la monnaie est précisée. Prenons un example. Si vous êtes un citoyen canadien et vous voulez comparer le niveau de prix aux autres pays, il faut regarder la colonne Canada, où le niveau de prix est 100 pour toute la colonne. Si vous avez par exemple, 120 pour la Finlande, alors cela signifie que le niveau de prix en Finlande est 20% plus haut qu'au Canada. Cela signifie que vous dépenseriez 120 dollars si vous achetiez le même panier en Finlande lorsque vous en dépensez 100 au Canada. </p> <p> Les PPA mensuelles utilisées pour construire ce tableau sont obtenues par extrapolation des PPP 2022 de la consommation privée. L'indicateur utilisé est le taux d'inflation relatif entre les pays, mesuré par l'indice de prix à la consommation. Les PPA tendent à être assez stables au cours du temps sauf dans le cas de pays à forte inflation. Les variations mensuelles des niveaux de prix comparés sont vraisemblablement davatage dues aux fluctuations des taux de change. </p> <p> Les données mises à jour sont disponibles au début de chaque mois. <br> <a href="https://www.oecd.org/en/data/datasets/purchasing-power-parities.html#CPLreleasedates" target="_blank">Cliquez ici pour les dates de publication</a></p> <p> Contact pour les statistiques de l'OCDE : stat.contact@oecd.org NonProductionDataflow true REF_AREA,EXPENDITURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,METHODOLOGY,TRANSFORMATION,ADJUSTMENT LAYOUT_ROW_SECTION OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED FREQ=M,MEASURE=CPI,METHODOLOGY=N,TRANSFORMATION=GY+_Z,ADJUSTMENT=N,LASTNPERIODS=13,EXPENDITURE=_T DEFAULT COMBINED_MEASURE:MEASURE,METHODOLOGY,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unité de mesure 10000 MAX_TABLE_DATA Consumer price indices (CPIs, HICPs), COICOP 1999 Indices des prix à la consommation (IPCs, IPCHs), COICOP 1999 <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">This dataset contains statistics on Consumer Price Indices by COICOP 1999 divisions, including national CPIs, Harmonised Indices of Consumer Prices (HICPs) and their associated weights and contributions to national year-on-year inflation. For countries for which data are already available according to the COICOP 2018 classification statistics on Consumer Price Indices can be found in dataset&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>Consumer price indices (CPIs, HICPs), COICOP 2018</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.&nbsp;</span><span style="color:black;">The data series presented have been chosen as the most relevant prices statistics for which comparable data across countries is available. Data are available monthly for all the countries except for Australia and New Zealand (quarterly data). <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:72.0pt;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">Cet ensemble de donn&eacute;es contient des statistiques sur les indices de prix &agrave; la consommation pour les divisions de la classification COICOP 1999, et contient les IPCs nationaux, les indices de prix &agrave; la consommation harmonis&eacute;s (IPCHs) et les poids associ&eacute;s, ainsi que les contributions &agrave; l&rsquo;inflation en glissement annuel nationale. Pour les pays pour lesquels les donn&eacute;es sont d&eacute;j&agrave; disponibles selon la classification COICOP 2018, les statistiques sur les indices de prix &agrave; la consommation se trouvent dans l&rsquo;ensemble de donn&eacute;es&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>Indices des prix &agrave; la consommation (IPCs), COICOP 2018</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.&nbsp;</span><span style="color:black;">Les s&eacute;ries pr&eacute;sent&eacute;es ont &eacute;t&eacute; choisies car elles sont consid&eacute;r&eacute;es comme les statistiques de prix les plus pertinentes pour lesquelles des donn&eacute;es comparables entre les pays sont disponibles. Les donn&eacute;es sont mensuelles pour tous les pays &agrave; l&rsquo;exception de l&rsquo;Australie et de la Nouvelle-Z&eacute;lande (donn&eacute;es trimestrielles).</span></p> NonProductionDataflow true EXPENDITURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED REF_AREA=AUT,LASTNPERIODS=13 DEFAULT COMBINED_MEASURE:MEASURE,METHODOLOGY,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unité de mesure Contribution to year-on-year inflation by COICOP 1999 by country Contribution à l'inflation en glissement annuel par divisions COICOP 1999, par pays <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>This dataset contains statistics on contributions to national year-on-year inflation by COICOP 1999 divisions. Contributions show how much each of the COICOP Divisions contributes to the annual inflation. All data are calculated by the OECD following the Ribe formula. However, data for Austria, Chile, Finland, Mexico, the Netherlands, Poland, Sweden and the United Kingdom are directly calculated by the National Statistical Offices. For countries for which data are already available according to the COICOP 2018 classification, contributions can be found in dataset&nbsp;<u><span style='font-family:"Roboto Slab";color:#494444;'>Contribution to year-on-year inflation by COICOP 2018 by country</span></u><span style='font-family:"Roboto Slab";color:#494444;'>. <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>Cet ensemble de donn&eacute;es contient des statistiques de contribution <span style="color:black;">&agrave; l&rsquo;inflation en glissement annuel nationale pour les divisions de la classification COICOP 1999. Les contributions indiquent dans quelle mesure chaque division de la COICOP contribue &agrave; l&rsquo;inflation annuelle. Toutes les donn&eacute;es sont calcul&eacute;es par l&rsquo;OCDE avec la formule de Ribe. Cependant, les donn&eacute;es pour l&rsquo;Autriche, la Finlande, le Mexique, les Pays-Bas, la Pologne, la Su&egrave;de et le Royaume-Uni sont calcul&eacute;es directement par les offices statistiques nationaux. Pour les pays pour lesquels les donn&eacute;es sont d&eacute;j&agrave; disponibles selon la classification COICOP 2018, les contributions se trouvent dans l&rsquo;ensemble de donn&eacute;es&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>Contribution &agrave; l&apos;inflation en glissement annuel par divisions COICOP 2018, par pays</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.</span></p> NonProductionDataflow true REF_AREA,EXPENDITURE,UNIT_MEASURE,MEASURE,TRANSFORMATION,ADJUSTMENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,MEASURE=CPI,REF_AREA=WXOECD NOT_DISPLAYED FREQ=M,MEASURE=CPI,METHODOLOGY=HICP,UNIT_MEASURE=PA,TRANSFORMATION=GY,ADJUSTMENT=N,LASTNPERIODS=13,EXPENDITURE=_T DEFAULT COMBINED_MEASURE:MEASURE,METHODOLOGY,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unité de mesure Eurostat harmonised index of consumer prices (HICP) Indices des prix à la consommation harmonisés (IPCH) d'Eurostat <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>This dataset contains statistics on Harmonised Indices of Consumer Prices (HICPs) by ECOICOP divisions and their associated weights. HICPs are published by Eurostat, the statistical office of the European Union and are calculated according to a harmonised approach and a single set of definitions in order to give comparable measures of inflation in the euro area, the European Union, the European Economic Area and for other countries. <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>Cet ensemble de donn&eacute;es contient <span style="color:black;">des statistiques sur les indices de prix &agrave; la consommation harmonis&eacute;s (IPCHs) pour les divisions de la classification COICOP 2018 et les poids associ&eacute;s. Les IPCHs sont publi&eacute;s par Eurostat, l&rsquo;Office statistique de l&rsquo;Union europ&eacute;enne et sont calcul&eacute;s en utilisant une approche harmonis&eacute;e et un ensemble unique de d&eacute;finitions, afin de pr&eacute;senter des mesures comparables de l&rsquo;inflation dans la zone euro, l&rsquo;Union europ&eacute;enne, l&rsquo;Espace &eacute;conomique europ&eacute;en et pour les autres pays.</span></p> NonProductionDataflow true EXPENDITURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED FREQ=A,LASTNPERIODS=12,REF_AREA=AUT DEFAULT COMBINED_MEASURE:MEASURE,METHODOLOGY,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unité de mesure Eurostat harmonised index of consumer prices (HICP), Item weights, All countries, All items Indices des prix à la consommation harmonisés (IPCH) d'Eurostat, pondération des dépenses, COICOP 1999, tous les pays, global <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>This dataset contains item weights associated to Harmonised Indices of Consumer Prices (HICPs) by ECOICOP divisions. HICPs are published by Eurostat, the statistical office of the European Union and are calculated according to a harmonised approach and a single set of definitions in order to give comparable measures of inflation in the euro area, the European Union, the European Economic Area and for other countries. <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>Cet ensemble de donn&eacute;es contient les poids associ&eacute;s aux <span style="color:black;">indices de prix &agrave; la consommation harmonis&eacute;s (IPCHs) par divisions de la classification ECOICOP. Les IPCHs sont publi&eacute;s par Eurostat, l&rsquo;Office statistique de l&rsquo;Union europ&eacute;enne et sont calcul&eacute;s en utilisant une approche harmonis&eacute;e et un ensemble unique de d&eacute;finitions, afin de pr&eacute;senter des mesures comparables de l&rsquo;inflation dans la zone euro, l&rsquo;Union europ&eacute;enne, l&rsquo;Espace &eacute;conomique europ&eacute;en et pour les autres pays.</span></p> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,EXPENDITURE=CP01 DEFAULT COMBINED_MEASURE:MEASURE,METHODOLOGY,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unité de mesure National CPI, Growth rate over one year, All countries, Food and non-alcoholic beverages, COICOP 1999 IPC national, taux de croissance sur un an, tous les pays, produits alimentaires et boissons non alcoolisées, COICOP 1999 <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">This dataset contains statistics on national Consumer Price Indices for Food and non-alcoholic beverages (COICOP 1999). For countries for which data are already available according to the COICOP 2018 classification, statistics on CPIs for Food and non-alcoholic beverages can be found in dataset&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>National CPI, Growth rate over one year, All countries, Food and non-alcoholic beverages, COICOP 2018</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.&nbsp;</span><span style="color:black;">Data are available monthly for all the countries except for Australia and New Zealand (quarterly data). <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">Cet ensemble de donn&eacute;es contient des statistiques sur les indices de prix &agrave; la consommation pour les produits alimentaires et boissons non alcoolis&eacute;es (COICOP 1999). Pour les pays pour lesquels les donn&eacute;es sont d&eacute;j&agrave; disponibles selon la classification COICOP 2018, les statistiques sur les indices de prix &agrave; la consommation pour les produits alimentaires et boissons non alcoolis&eacute;es se trouvent dans l&rsquo;ensemble de donn&eacute;es&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>IPC national, taux de croissance sur un an, tous les pays, produits alimentaires et boissons non alcoolis&eacute;es, COICOP 2018</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.</span><span style="color:black;">&nbsp;Les donn&eacute;es sont mensuelles pour tous les pays &agrave; l&rsquo;exception de l&rsquo;Australie et de la Nouvelle-Z&eacute;lande (donn&eacute;es trimestrielles).</span></p> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,EXPENDITURE=CP045_0722 DEFAULT COMBINED_MEASURE:MEASURE,METHODOLOGY,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unité de mesure National CPI, Growth rate over one year, All countries, Energy, COICOP 1999 IPC national, taux de croissance sur un an, tous les pays, énergie, COICOP 1999 <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">This dataset contains statistics on national Consumer Price Indices for Energy (COICOP 1999). For countries for which data are already available according to the COICOP 2018 classification, statistics on CPIs for Energy can be found in dataset&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>National CPI, Growth rate over one year, All countries, Energy, COICOP 2018</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.&nbsp;</span><span style="color:black;">Data are available monthly for all the countries except for Australia and New Zealand (quarterly data). <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">Cet ensemble de donn&eacute;es contient des statistiques sur les indices de prix &agrave; la consommation de l&rsquo;&eacute;nergie (COICOP 1999). Pour les pays pour lesquels les donn&eacute;es sont d&eacute;j&agrave; disponibles selon la classification COICOP 2018, les statistiques sur les indices de prix &agrave; la consommation de l&rsquo;&eacute;nergie se trouvent dans l&rsquo;ensemble de donn&eacute;es&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>IPC national, taux de croissance sur un an, tous les pays, &eacute;nergie, COICOP 2018</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.</span><span style="color:black;">&nbsp;Les donn&eacute;es sont mensuelles pour tous les pays &agrave; l&rsquo;exception de l&rsquo;Australie et de la Nouvelle-Z&eacute;lande (donn&eacute;es trimestrielles).</span></p> NonProductionDataflow true EXPENDITURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED FREQ=A,LASTNPERIODS=12,REF_AREA=AUT DEFAULT COMBINED_MEASURE:MEASURE,METHODOLOGY,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unité de mesure National CPI, Item weights, COICOP 1999, All countries, All items IPC national, pondération des dépenses, COICOP 1999, tous les pays, global <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>This dataset contains item weights associated to national CPIs. Weights are defined as the proportion of total household expenditure spent on a given product during the weight reference period. For countries for which data are already available according to the COICOP 2018 classification, contributions can be found in dataset&nbsp;<u><span style='font-family:"Roboto Slab";color:#494444;'>National CPI, Item weights, COICOP 2018</span></u><span style='font-family:"Roboto Slab";color:#494444;'>. <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>Cet ensemble de donn&eacute;es contient les poids associ&eacute;s aux IPCs nationaux. Les poids correspondent &agrave; la part des d&eacute;penses de l&rsquo;ensemble des m&eacute;nages dans un produit donn&eacute; au cours de la p&eacute;riode de r&eacute;f&eacute;rence des poids. <span style="color:black;">Pour les pays pour lesquels les donn&eacute;es sont d&eacute;j&agrave; disponibles selon la classification COICOP 2018, les poids associ&eacute;s aux IPCs nationaux se trouvent dans l&rsquo;ensemble de donn&eacute;es&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>IPC national, pond&eacute;ration des d&eacute;penses, COICOP 2018, tous les pays, global</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.</span></p> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,EXPENDITURE=TXCP01_NRG DEFAULT COMBINED_MEASURE:MEASURE,METHODOLOGY,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unité de mesure National CPI, Growth rate over one year, All countries, All items less food and energy, COICOP 1999 IPC national, taux de croissance sur un an, tous les pays, global hors alimentation et énergie, COICOP 1999 <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">This dataset contains statistics on national Consumer Price Indices for all items less food and energy (COICOP 1999). For countries for which data are already available according to the COICOP 2018 classification, statistics on CPIs for all items less food and energy can be found in dataset&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>National CPI, Growth rate over one year, All countries, All items less food and energy, COICOP 2018</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.&nbsp;</span><span style="color:black;">Data are available monthly for all the countries except for Australia and New Zealand (quarterly data). <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">Cet ensemble de donn&eacute;es contient des statistiques sur les indices de prix &agrave; la consommation hors alimentation et &eacute;nergie (COICOP 1999). Pour les pays pour lesquels les donn&eacute;es sont d&eacute;j&agrave; disponibles selon la classification COICOP 2018, les statistiques sur les indices de prix &agrave; la consommation hors alimentation et &eacute;nergie se trouvent dans l&rsquo;ensemble de donn&eacute;es&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>IPC national, taux de croissance sur un an, tous les pays, global hors alimentation et &eacute;nergie, COICOP 2018</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.</span><span style="color:black;">&nbsp;Les donn&eacute;es sont mensuelles pour tous les pays &agrave; l&rsquo;exception de l&rsquo;Australie et de la Nouvelle-Z&eacute;lande (donn&eacute;es trimestrielles).</span></p> NonProductionDataflow true REF_AREA,EXPENDITURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,METHODOLOGY,TRANSFORMATION,ADJUSTMENT LAYOUT_ROW_SECTION OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED FREQ=M,MEASURE=CPI,METHODOLOGY=N,UNIT_MEASURE=PA+IX,ADJUSTMENT=N,LASTNPERIODS=13,EXPENDITURE=_T DEFAULT COMBINED_MEASURE:MEASURE,METHODOLOGY,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unité de mesure 10000 MAX_TABLE_DATA Consumer price indices (CPIs), COICOP 2018 Indices des prix à la consommation (IPCs), COICOP 2018 <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">This dataset contains statistics on Consumer Price Indices by COICOP 2018 divisions, including national CPIs, Harmonised Indices of Consumer Prices (HICPs) and their associated weights and contributions to national year-on-year inflation. For countries for which data are not yet available according to the COICOP 2018 classification, statistics on Consumer Price Indices can be found in dataset&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>Consumer price indices (CPIs, HICPs), COICOP 1999</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.&nbsp;</span><span style="color:black;">The data series presented have been chosen as the most relevant prices statistics for which comparable data across countries is available. <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:72.0pt;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">Cet ensemble de donn&eacute;es contient des statistiques sur les indices de prix &agrave; la consommation pour les divisions de la classification COICOP 2018, et contient les IPCs nationaux et les poids associ&eacute;s, ainsi que les contributions &agrave; l&rsquo;inflation en glissement annuel nationale. Pour les pays pour lesquels les donn&eacute;es ne sont pas encore disponibles selon la classification COICOP 2018, les statistiques sur les indices de prix &agrave; la consommation se trouvent dans l&rsquo;ensemble de donn&eacute;es&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>Indices des prix &agrave; la consommation (IPCs, IPCHs), COICOP 1999</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.&nbsp;</span><span style="color:black;">Les s&eacute;ries pr&eacute;sent&eacute;es ont &eacute;t&eacute; choisies car elles sont consid&eacute;r&eacute;es comme les statistiques de prix les plus pertinentes pour lesquelles des donn&eacute;es comparables entre les pays sont disponibles.&nbsp;</span></p> NonProductionDataflow true EXPENDITURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED LASTNPERIODS=13 DEFAULT COMBINED_MEASURE:MEASURE,METHODOLOGY,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unité de mesure Contribution to year-on-year inflation by COICOP 2018 by country Contribution à l'inflation en glissement annuel par divisions COICOP 2018, par pays <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>This dataset contains statistics on contributions to national year-on-year inflation by COICOP 2018 divisions. Contributions show how much each of the COICOP Divisions contributes to the annual inflation. All data are calculated by the OECD following the Ribe formula. For countries for which data are not yet available according to the COICOP 2018 classification, contributions can be found in dataset&nbsp;<u><span style='font-family:"Roboto Slab";color:#494444;'>Contribution to year-on-year inflation by COICOP 1999 by country</span></u><span style='font-family:"Roboto Slab";color:#494444;'>. <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>Cet ensemble de donn&eacute;es contient des statistiques de contribution <span style="color:black;">&agrave; l&rsquo;inflation en glissement annuel nationale pour les divisions de la classification COICOP 2018. Les contributions indiquent dans quelle mesure chaque division de la COICOP contribue &agrave; l&rsquo;inflation annuelle. Toutes les donn&eacute;es sont calcul&eacute;es par l&rsquo;OCDE avec la formule de Ribe. Pour les pays pour lesquels les donn&eacute;es ne sont pas encore disponibles selon la classification COICOP 2018, les contributions se trouvent dans l&rsquo;ensemble de donn&eacute;es&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>Contribution &agrave; l&apos;inflation en glissement annuel par divisions COICOP 1999, par pays</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.</span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:72.0pt;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">&nbsp;</span></p> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,EXPENDITURE=CP01 DEFAULT COMBINED_MEASURE:MEASURE,METHODOLOGY,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unité de mesure National CPI, Growth rate over one year, All countries, Food and non-alcoholic beverages, COICOP 2018 IPC national, taux de croissance sur un an, tous les pays, produits alimentaires et boissons non alcoolisées, COICOP 2018 <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">This dataset contains statistics on national Consumer Price Indices for Food and non-alcoholic beverages (COICOP 2018). For countries for which data are not yet available according to the COICOP 2018 classification, statistics on CPIs for Food and non-alcoholic beverages can be found in dataset&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>National CPI, Growth rate over one year, All countries, Food and non-alcoholic beverages, COICOP 1999</span></u><span style='font-family:"Roboto Slab";color:#494444;'>. <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:black;">Cet ensemble de donn&eacute;es contient des statistiques sur les indices de prix &agrave; la consommation pour les produits alimentaires et boissons non alcoolis&eacute;es (COICOP 2018). Pour les pays pour lesquels les donn&eacute;es ne sont pas encore disponibles selon la classification COICOP 2018, les statistiques sur les indices de prix &agrave; la consommation pour les produits alimentaires et boissons non alcoolis&eacute;es se trouvent dans l&rsquo;ensemble de donn&eacute;es&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>IPC national, taux de croissance sur un an, tous les pays, produits alimentaires et boissons non alcoolis&eacute;es, COICOP 1999</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.</span></p> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,EXPENDITURE=CP045_0722 DEFAULT COMBINED_MEASURE:MEASURE,METHODOLOGY,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unité de mesure National CPI, Growth rate over one year, All countries, Energy, COICOP 2018 IPC national, taux de croissance sur un an, tous les pays, énergie, COICOP 2018 <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">This dataset contains statistics on national Consumer Price Indices for Energy (COICOP 2018). For countries for which data are not yet available according to the COICOP 2018 classification, statistics on CPIs for Energy can be found in dataset&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>National CPI, Growth rate over one year, All countries, Energy, COICOP 1999</span></u><span style='font-family:"Roboto Slab";color:#494444;'>. <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:black;">Cet ensemble de donn&eacute;es contient des statistiques sur les indices de prix &agrave; la consommation de l&rsquo;&eacute;nergie (COICOP 2018). Pour les pays pour lesquels les donn&eacute;es ne sont pas encore disponibles selon la classification COICOP 2018 les statistiques sur les indices de prix &agrave; la consommation de l&rsquo;&eacute;nergie se trouvent dans l&rsquo;ensemble de donn&eacute;es&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>IPC national, taux de croissance sur un an, tous les pays, &eacute;nergie, COICOP 1999</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.</span></p> NonProductionDataflow true EXPENDITURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED FREQ=A,LASTNPERIODS=12,REF_AREA=AUT DEFAULT COMBINED_MEASURE:MEASURE,METHODOLOGY,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unité de mesure National CPI, Item weights, COICOP 2018, All countries, All items IPC national, pondération des dépenses, COICOP 2018, tous les pays, global <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>This dataset contains item weights associated to national CPIs. Weights are defined as the proportion of total household expenditure spent on a given product during the weight reference period. For countries for which data are not yet available according to the COICOP 2018 classification, contributions can be found in dataset <u><span style='font-family:"Roboto Slab";color:#494444;'>National CPI, Item weights, COICOP 1999</span></u><span style='font-family:"Roboto Slab";color:#494444;'>. <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>Cet ensemble de donn&eacute;es contient les poids associ&eacute;s aux IPCs nationaux. Les poids correspondent &agrave; la part des d&eacute;penses de l&rsquo;ensemble des m&eacute;nages dans un produit donn&eacute; au cours de la p&eacute;riode de r&eacute;f&eacute;rence des poids. <span style="color:black;">Pour les pays pour lesquels les donn&eacute;es ne sont pas encore disponibles selon la classification COICOP 2018, les poids associ&eacute;s aux IPCs nationaux se trouvent dans l&rsquo;ensemble de donn&eacute;es&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>Indices des prix &agrave; la consommation (IPCs, IPCHs), COICOP 1999</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.</span></p> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,EXPENDITURE=TXCP01_NRG DEFAULT COMBINED_MEASURE:MEASURE,METHODOLOGY,TRANSFORMATION;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,ADJUSTMENT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unité de mesure National CPI, Growth rate over one year, All countries, All items less food and energy, COICOP 2018 IPC national, taux de croissance sur un an, tous les pays, global hors alimentation et énergie, COICOP 2018 <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0cm;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="color:black;">This dataset contains statistics on national Consumer Price Indices for all items less food and energy (COICOP 2018). For countries for which data are not yet available according to the COICOP 2018 classification, statistics on CPIs for all items less food and energy can be found in dataset&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>National CPI, Growth rate over one year, All items less food and energy, COICOP 1999</span></u><span style='font-family:"Roboto Slab";color:#494444;'>. <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:black;">Cet ensemble de donn&eacute;es contient des statistiques sur les indices de prix &agrave; la consommation hors alimentation et &eacute;nergie (COICOP 2018). Pour les pays pour lesquels les donn&eacute;es ne sont pas encore disponibles selon la classification COICOP 2018 les statistiques sur les indices de prix &agrave; la consommation hors alimentation et &eacute;nergie se trouvent dans l&rsquo;ensemble de donn&eacute;es&nbsp;</span><u><span style='font-family:"Roboto Slab";color:#494444;'>IPC national, taux de croissance sur un an, tous les pays, global hors alimentation et &eacute;nergie, COICOP 1999</span></u><span style='font-family:"Roboto Slab";color:#494444;'>.</span></p> NonProductionDataflow true OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED Consumer price indices (CPIs), exchange, API only,COICOP 1999 NonProductionDataflow true OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED Consumer price indices (CPIs), exchange, API only,COICOP 2018 NonProductionDataflow true DWELLINGS,VINTAGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,UNIT_MEASURE,TRANSFORMATION,ADJUSTMENT LAYOUT_ROW_SECTION OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0 NOT_DISPLAYED FREQ=Q,MEASURE=RHPI,REF_AREA_TYPE=COU,TRANSFORMATION=GY,LASTNPERIODS=9 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,TRANSFORMATION,ADJUSTMENT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 10000 MAX_TABLE_DATA National and regional house price indices Indices des prix des logements - national et régional <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;text-align:justify;'>Residential Property Price Indices (RPPIs) &ndash; also named House price indices (HPIs), are index numbers measuring the evolution of residential property prices over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. Among their professional uses, they serve, for example, to monitor macroeconomic imbalances and risk exposure of the financial sector.</p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;text-align:justify;'>&ldquo;National and Regional House Price Indices&rdquo; datasets include RPPI compiled by official statistical agencies following international statistical guidelines. It covers all OECD member countries and some non-member countries. Whenever possible, these RPPIs are broken down by region, dwelling type (single- and multi-family dwellings) and vintage (new and existing dwellings).</p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;text-align:justify;'>The dataset called &ldquo;National and Regional House Price Indices&rdquo; contains the full list of available RPPIs.</p> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,UNIT_MEASURE,TRANSFORMATION,ADJUSTMENT LAYOUT_ROW_SECTION OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0 NOT_DISPLAYED FREQ=Q,MEASURE=RHPI,UNIT_MEASURE=IX,LASTNPERIODS=9 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,TRANSFORMATION,ADJUSTMENT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée National and regional housing transactions Transactions de logement - national et régional <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;text-align:justify;'>Residential Property Price Indices (RPPIs) &ndash; also named House price indices (HPIs), are index numbers measuring the evolution of residential property prices over time.</p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;text-align:justify;'>Number and value of housing transactions are provided in the same dataset as RPPIs. They are available as quarterly indices and refer to the total number and value of dwellings transactions at national level where the purchaser is a household.</p> NonProductionDataflow true DWELLINGS,VINTAGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,UNIT_MEASURE,TRANSFORMATION,ADJUSTMENT LAYOUT_ROW_SECTION OBS_STATUS=A,ADJUSTMENT=N,TRANSFORMATION=_Z,UNIT_MULT=0 NOT_DISPLAYED FREQ=Q,MEASURE=RHPI,REF_AREA_TYPE=COU,TRANSFORMATION=GY,LASTNPERIODS=9 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,TRANSFORMATION,ADJUSTMENT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée National and regional house price indices, headline indicators Indices des prix des logements - national et régional, indicateurs clés <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;text-align:justify;'>&ldquo;National and Regional House Price Indices&rdquo; datasets include RPPI compiled by official statistical agencies following international statistical guidelines. It covers all OECD member countries and some non-member countries. Whenever possible, these RPPIs are broken down by region, dwelling type (single- and multi-family dwellings) and vintage (new and existing dwellings).</p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;text-align:justify;'>This dataset called &ldquo;National and Regional House Price Indices &ndash; Headline Indicators&rdquo; presents, for each country, the RPPI that is available at the most aggregate level at both national and regional levels. It mainly contains quarterly statistics.</p> NonProductionDataflow true REF_AREA,MEASURE LAYOUT_ROW ACTIVITY LAYOUT_COLUMN SIZE_CLASS LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A NOT_DISPLAYED FREQ=A,TIME_PERIOD=2021,ENT_TYPE=ENT_EMP,REF_AREA=BEL,ACTIVITY=B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+BTE+BTNX642+GTNX642+BTN_95XK,AGE=_T+Y_LE2+Y_LE4+Y_LE5+Y0+Y1+Y2+Y3+Y4+Y5 DEFAULT ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_BD(1.0).H,SIZE_CLASS:OECD.SDD.TPS:HCL_SIZE_BD(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Business demography, employer enterprises (ISIC rev.4) Démographie des entreprises, entreprises employant des salariés (CITI Rev. 4) <p><a href="http://www.oecd.org/sdd">http://www.oecd.org/sdd</a></p>Business demography is a core element of the OECD’s Structural and Demographic Business Statistics database. Data are produced according to <a href="https://www.oecd-ilibrary.org/economics/eurostat-oecd-manual-on-business-demography-statistics_9789264041882-en">Eurostat-OECD Manual on Business Demography Statistics</a>. The data in this dataset are broken down by employment size class and by economic activity according to International Standard Industrial Classification, Revision 4 (<a href=\"https://unstats.un.org/unsd/classifications/Econ/isic\">ISIC Rev. 4</a>).<p>This dataset presents <b>Employer business demography</b>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,SIZE_CLASS LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ NOT_DISPLAYED MEASURE=ENTR+TUTT,ACTIVITY=C,TIME_PERIOD_START=2018,SIZE_CLASS=_T+S1T249+S_GE250 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Structural business statistics by size class and economic activity (ISIC Rev. 4) Statistiques structurelles des entreprises par classe de taille et activité économique (CITI rev.4) OECD statistics contact: <a href="mailto:stat.contact@oecd.org">stat.contact@oecd.org</a></p><p>The OECD Secretariat collects a wide range of statistics on businesses and business activity. The Structural Business Statistics by size class dataset is part of the Structural and Demographic Business Statistics (SDBS) database featuring the harmonised data collection of the OECD Statistics and Data Directorate relating to a number of key variables, such as value added, operating surplus, employment, and the number of business units.<p>Data are broken down to class (4-digit) level of <a href="https://unstats.un.org/unsd/classifications/Econ/isic">International Standard of Industrial Classification (ISIC Revision 4)</a>, and by enterprise size class based on the number of persons employed.<p>Data cover OECD member and partner countries, non-OECD countries that are members of the <a href = "https://ec.europa.eu/eurostat/web/european-statistical-system">European Statistical System</a> who provide data to Eurostat, as well as countries participating in <a href = "https://www.oecd.org/about/">OECD Regional initiatives</a>. Contact pour les statistiques de l'OCDE : <a href="mailto:stat.contact@oecd.org">stat.contact@oecd.org</a></p><p>Le Secrétariat de l'OCDE collecte un nombre de statistiques sur les entreprises et leur activité. L'ensemble de données Statistiques structurelles des entreprises par classe de taille fait partie de la base de données Statistiques structurelles et démographiques des entreprises (SDBS) qui présente la collecte de données harmonisées de la Direction des statistiques et des données de l'OCDE concernant un certain nombre de variables clés, telles que la valeur ajoutée, l'excédent d'exploitation, l'emploi et le nombre d'unités commerciales.<p>Les données sont ventilées par classe (niveau de 4 chiffres) de <a href="https://unstats.un.org/unsd/classifications/Econ/isic"> Classification internationale type par industrie, révision 4 (CITI Rév.4) </a>, ainsi que par classe de taille d'entreprise en fonction du nombre de personnes occupées.<p>Les données couvrent les pays membres et partenaires de l'OCDE, les pays non membres de l'OCDE qui sont membres du <a href = "https://ec.europa.eu/eurostat/web/european-statistical-system">Système statistique européen</a> qui fournissent les données a Eurostat, ainsi que les pays participant aux <a href = "https://www.oecd.org/about/">initiatives régionales de l'OCDE</a>. NonProductionDataflow true MEASURE,NBPARTNER LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A NOT_DISPLAYED TABLE=T04,FREQ=A,LASTNPERIODS=5,SIZE_CLASS=_T,FLOW=X,ACTIVITY=_T,PARTNER_COUNTRY=W,REF_AREA=AUT+BEL+BGR+BIH+CAN+CHE+CRI+CYP+CZE+DEU+DNK+ESP+EST+FIN+FRA+GBR+GRC+HRV+HUN+IRL+ISL+ISR+ITA+KOR+LTU+LUX+LVA+MEX+MKD+MLT+NLD+NOR+POL+PRT+ROU+SRB+SVK+SVN+SWE+TUR+USA DEFAULT SIZE_CLASS:OECD.SDD.TPS:HCL_SIZECLASS(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Commerce international par caractéristiques économiques des entreprises Trade in goods by enterprise characteristics (for API users) International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade.<p>The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015.<p>The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity.<p>TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level.<p><b><font color="#000080">This dataset includes data from all ten TEC datasets and is primarily aimed at API users.</font></b> Users interested in a particular breakdown can find the links to each table at the bottom of this page.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p>Regional Business Demography,<p>Structural Business Statistics by Size Class,<p>Timely Indicators of Entrepreneurship by Enterprise Characteristics. La base de données Commerce international par caractéristiques économiques des entreprises (TEC) vise à combler cette lacune et contient des données sur le commerce international annuel de marchandises ventilées par différentes catégories d'entreprises. Ces données constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles répondent à des questions telles que : qui sont les entreprises engagées sur les marchés étrangers et quelles sont leurs caractéristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 États membres de l'UE ainsi que le Canada, le Costa Rica, la Norvège, Israël, la Turquie, le Royaume Uni et les États-Unis. Les données pour le Royaume-Uni n'ont pas été mises à jour depuis l'année de référence 2018, pour la Corée et le Mexique depuis l'année de référence 2015.<p>La base de données se compose de dix ensembles de données présentant diverses combinaisons de ventilations par activité économique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commerçants, type de propriété (étrangère vs. nationale), intensité des exportations.</p><p>Les données TEC sont collectées en coopération avec Eurostat et directement auprès des instituts statistiques nationales (INS). Pour créer des données TEC, les INS doivent attribuer les flux commerciaux à des entreprises présentant des caractéristiques différentes en fusionnant les données sur le commerce international (généralement des données douanières) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.​<p><p><b><font color="#000080">Ce tableau réunit les données des dix tableaux TEC - elle est principalement destiné aux utilisateurs de l'API.</font></b> Les utilisateurs intéressés par une ventillation spécifique peuvent trouver les liens vers chaque tableau au bas de cette page.<p><b><i>Ensembles de données associé:</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Démographie régionale des entreprises,<p>Statistiques structurelles des entreprises par classe de taille,<p>Indicateurs rapides d’entrepreneuriat par type d’entreprise. NonProductionDataflow true ACTIVITY,SIZE_CLASS LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,TOP_ENT,NBPARTNER,CPC,TTRADER,TOWNERSHIP,EXPINT,TABLE NOT_DISPLAYED TABLE=T01,FREQ=A,LASTNPERIODS=5,SIZE_CLASS=_T+S0T9+S10T49+S50T249+S_GE250+S0T249+_X,FLOW=X,ACTIVITY=_T,PARTNER_COUNTRY=EU00+WXEU00+W,MEASURE=ENTR_TEC,REF_AREA=AUT+BEL+BGR+BIH+CAN+CHE+CRI+CYP+CZE+DEU+DNK+ESP+EST+FIN+FRA+GBR+GRC+HRV+HUN+IRL+ISL+ISR+ITA+KOR+LTU+LUX+LVA+MEX+MKD+MLT+NLD+NOR+POL+PRT+ROU+SRB+SVK+SVN+SWE+TUR+USA DEFAULT SIZE_CLASS:OECD.SDD.TPS:HCL_SIZECLASS(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Commerce international par caractéristiques économiques des entreprises par activité economique et classe de taille Trade in goods by enterprise characteristics by economic activity and size class Ce tableau (TEC 01) présente une répartition par <b>activité économique</b> selon la Classification internationale type par industrie, révision 4 (<a href="https://unstats.un.org/ unsd/classifications/Econ/isic">CITI Rév. 4</a>) et par <b>classe de taille d'emploi</b>.<p>La base de données Commerce international par caractéristiques économiques des entreprises (TEC) vise à combler cette lacune et contient des données sur le commerce international annuel de marchandises ventilées par différentes catégories d'entreprises. Ces données constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles répondent à des questions telles que : qui sont les entreprises engagées sur les marchés étrangers et quelles sont leurs caractéristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 États membres de l'UE ainsi que le Canada, le Costa Rica, la Norvège, Israël, la Turquie, le Royaume Uni et les États-Unis. Les données pour le Royaume-Uni n'ont pas été mises à jour depuis l'année de référence 2018, pour la Corée et le Mexique depuis l'année de référence 2015.<p>La base de données se compose de dix ensembles de données présentant diverses combinaisons de ventilations par activité économique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commerçants, type de propriété (étrangère vs. nationale), intensité des exportations.</p><p>Les données TEC sont collectées en coopération avec Eurostat et directement auprès des instituts statistiques nationales (INS). Pour créer des données TEC, les INS doivent attribuer les flux commerciaux à des entreprises présentant des caractéristiques différentes en fusionnant les données sur le commerce international (généralement des données douanières) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.​<p><b><i>Ensembles de données associé:</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Démographie régionale des entreprises,<p>Statistiques structurelles des entreprises par classe de taille,<p>Indicateurs rapides d’entrepreneuriat par type d’entreprise. This dataset (TEC 01) presents a breakdown by <b>economic activity</b> according to International Standard Industrial Classification, Revision 4 (<a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a>) and by <b>employment size class</b>.<p>International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade.<p>The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015.<p>The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity.<p>TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p>Regional Business Demography,<p>Structural Business Statistics by Size Class,<p>Timely Indicators of Entrepreneurship by Enterprise Characteristics. NonProductionDataflow true TOP_ENT LAYOUT_ROW TIME_PERIOD,ACTIVITY LAYOUT_COLUMN REF_AREA,MEASURE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,SIZE_CLASS,NBPARTNER,CPC,TTRADER,TOWNERSHIP,EXPINT,TABLE NOT_DISPLAYED TABLE=T02,FREQ=A,LASTNPERIODS=4,SIZE_CLASS=_T,FLOW=X,ACTIVITY=_T+A_F_HTU+BTE+G,PARTNER_COUNTRY=EU00+WXEU00+W,REF_AREA=AUT+BEL+BGR+BIH+CAN+CHE+CRI+CYP+CZE+DEU+DNK+ESP+EST+FIN+FRA+GBR+GRC+HRV+HUN+IRL+ISL+ISR+ITA+KOR+LTU+LUX+LVA+MEX+MKD+MLT+NLD+NOR+POL+PRT+ROU+SRB+SVK+SVN+SWE+TUR+USA DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Commerce international par caractéristiques économiques des entreprises par concentration de commerce (top entreprises) et activité economique Trade in goods by enterprise characteristics by economic activity and concentration of trade (top enterprises) Ce tableau (TEC 02) présente une répartition par <b>activité économique</b> selon la Classification internationale type par industrie, révision 4 (<a href="https://unstats.un.org/ unsd/classifications/Econ/isic">CITI Rév. 4</a>) et par <b>concentration du commerce</b>.<p>La base de données Commerce international par caractéristiques économiques des entreprises (TEC) vise à combler cette lacune et contient des données sur le commerce international annuel de marchandises ventilées par différentes catégories d'entreprises. Ces données constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles répondent à des questions telles que : qui sont les entreprises engagées sur les marchés étrangers et quelles sont leurs caractéristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 États membres de l'UE ainsi que le Canada, le Costa Rica, la Norvège, Israël, la Turquie, le Royaume Uni et les États-Unis. Les données pour le Royaume-Uni n'ont pas été mises à jour depuis l'année de référence 2018, pour la Corée et le Mexique depuis l'année de référence 2015.<p>La base de données se compose de dix ensembles de données présentant diverses combinaisons de ventilations par activité économique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commerçants, type de propriété (étrangère vs. nationale), intensité des exportations.</p><p>Les données TEC sont collectées en coopération avec Eurostat et directement auprès des instituts statistiques nationales (INS). Pour créer des données TEC, les INS doivent attribuer les flux commerciaux à des entreprises présentant des caractéristiques différentes en fusionnant les données sur le commerce international (généralement des données douanières) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.​<p><b><i>Ensembles de données associé:</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Démographie régionale des entreprises,<p>Statistiques structurelles des entreprises par classe de taille,<p>Indicateurs rapides d’entrepreneuriat par type d’entreprise. This dataset (TEC 02) presents a breakdown by <b>economic activity</b> according to International Standard Industrial Classification, Revision 4 (<a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a>) and <b>concentration of trade</b>.<p>International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade.<p>The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015.<p>The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity.<p>TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p>Regional Business Demography,<p>Structural Business Statistics by Size Class,<p>Timely Indicators of Entrepreneurship by Enterprise Characteristics. NonProductionDataflow true PARTNER_COUNTRY LAYOUT_ROW TIME_PERIOD,ACTIVITY LAYOUT_COLUMN REF_AREA,MEASURE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,TOP_ENT,NBPARTNER,CPC,TTRADER,TOWNERSHIP,EXPINT,TABLE NOT_DISPLAYED TABLE=T03,FREQ=A,LASTNPERIODS=4,SIZE_CLASS=S0T249+S0T9+S10T49+S50T249+S_GE250+_T+_X,FLOW=M+X+_T,ACTIVITY=_T+A_F_HTU+BTE+G,PARTNER_COUNTRY=_X+A_O+A2+A5+A7+A8+ALB+ARE+ARG+ARM+AUS+AUT+AZE+BEL+BGR+BHR+BHS+BIH+BLR+BOL+BRA+BRB+BWA+CAN+CHE+CHL+CHN+CIV+CMR+COD+COG+COL+CRI+CUB+CYP+CZE+DEU+DNK+DOM+DZA+E+E_O+ECU+EGY+ESP+EST+ETH+EU00+EU00_X+EU27+EU28+F+F_O+F4+F97+FIN+FJI+FRA+GAB+GBR+GEO+GHA+GIB+GRC+GRL+GTM+HKG+HND+HRV+HTI+HUN+IDN+IND+IRL+IRN+ISL+ISR+ITA+JAM+JOR+JPN+KAZ+KEN+KHM+KOR+LKA+LTU+LUX+LVA+MAR+MDA+MEX+MKD+MLT+MMR+MTQ+MUS+MYS+NGA+NIC+NLD+NOR+NZL+O_ATA+PAN+PER+PHL+PNG+POL+PRI+PRT+PRY+QAT+REU+ROU+RUS+RWA+S+S_O+SAU+SEN+SGP+SLV+SRB+SVK+SVN+SWE+SWZ+THA+TKM+TTO+TUN+TUR+TWN+TZA+UGA+UKR+URY+USA+UZB+VEN+VNM+W+W_CF+WXEU00+WXEU00_X+ZAF+ZMB+ZWE,REF_AREA=AUT DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Commerce international par caractéristiques économiques des entreprises par pays et groupes de pays partenaires Trade in goods by enterprise characteristics by partner zones and countries Ce tableau (TEC 03) présente une répartition par <b>pays et groupes de pays partenaires</b>.<p>La base de données Commerce international par caractéristiques économiques des entreprises (TEC) vise à combler cette lacune et contient des données sur le commerce international annuel de marchandises ventilées par différentes catégories d'entreprises. Ces données constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles répondent à des questions telles que : qui sont les entreprises engagées sur les marchés étrangers et quelles sont leurs caractéristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 États membres de l'UE ainsi que le Canada, le Costa Rica, la Norvège, Israël, la Turquie, le Royaume Uni et les États-Unis. Les données pour le Royaume-Uni n'ont pas été mises à jour depuis l'année de référence 2018, pour la Corée et le Mexique depuis l'année de référence 2015.<p>La base de données se compose de dix ensembles de données présentant diverses combinaisons de ventilations par activité économique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commerçants, type de propriété (étrangère vs. nationale), intensité des exportations.</p><p>Les données TEC sont collectées en coopération avec Eurostat et directement auprès des instituts statistiques nationales (INS). Pour créer des données TEC, les INS doivent attribuer les flux commerciaux à des entreprises présentant des caractéristiques différentes en fusionnant les données sur le commerce international (généralement des données douanières) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.​<p><b><i>Ensembles de données associé:</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Démographie régionale des entreprises,<p>Statistiques structurelles des entreprises par classe de taille,<p>Indicateurs rapides d’entrepreneuriat par type d’entreprise. This dataset (TEC 03) presents a breakdown by <b>partner zones and countries</b>.<p>International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade.<p>The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015.<p>The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity.<p>TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p>Regional Business Demography,<p>Structural Business Statistics by Size Class,<p>Timely Indicators of Entrepreneurship by Enterprise Characteristics. NonProductionDataflow true FLOW,NBPARTNER LAYOUT_ROW ACTIVITY,TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,SIZE_CLASS,TOP_ENT,CPC,TTRADER,TOWNERSHIP,EXPINT,TABLE NOT_DISPLAYED TABLE=T04,FREQ=A,LASTNPERIODS=4,MEASURE=ENTR_TEC,SIZE_CLASS=_T,FLOW=X,ACTIVITY=_T+A_F_HTU+BTE+G,PARTNER_COUNTRY=W,REF_AREA=AUT+BEL+BGR+BIH+CAN+CHE+CRI+CYP+CZE+DEU+DNK+ESP+EST+FIN+FRA+GBR+GRC+HRV+HUN+IRL+ISL+ISR+ITA+KOR+LTU+LUX+LVA+MEX+MKD+MLT+NLD+NOR+POL+PRT+ROU+SRB+SVK+SVN+SWE+TUR+USA DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Commerce international par caractéristiques économiques des entreprises par nombre de pays partenaires et activité Trade in goods by enterprise characteristics by number of partner countries and activity Ce tableau (TEC 04) présente une répartition par <b>nombre de pays partenaires</b> et par <b>activité économique</b> selon la Classification internationale type par industrie, révision 4 (<a href="https://unstats.un.org/ unsd/classifications/Econ/isic">CITI Rév. 4</a>).<p>La base de données Commerce international par caractéristiques économiques des entreprises (TEC) vise à combler cette lacune et contient des données sur le commerce international annuel de marchandises ventilées par différentes catégories d'entreprises. Ces données constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles répondent à des questions telles que : qui sont les entreprises engagées sur les marchés étrangers et quelles sont leurs caractéristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 États membres de l'UE ainsi que le Canada, le Costa Rica, la Norvège, Israël, la Turquie, le Royaume Uni et les États-Unis. Les données pour le Royaume-Uni n'ont pas été mises à jour depuis l'année de référence 2018, pour la Corée et le Mexique depuis l'année de référence 2015.<p>La base de données se compose de dix ensembles de données présentant diverses combinaisons de ventilations par activité économique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commerçants, type de propriété (étrangère vs. nationale), intensité des exportations.</p><p>Les données TEC sont collectées en coopération avec Eurostat et directement auprès des instituts statistiques nationales (INS). Pour créer des données TEC, les INS doivent attribuer les flux commerciaux à des entreprises présentant des caractéristiques différentes en fusionnant les données sur le commerce international (généralement des données douanières) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.​<p><b><i>Ensembles de données associé:</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Démographie régionale des entreprises,<p>Statistiques structurelles des entreprises par classe de taille,<p>Indicateurs rapides d’entrepreneuriat par type d’entreprise. This dataset (TEC 04) presents a breakdown by <b>partner countries</b> and by <b>economic activity</b> according to International Standard Industrial Classification, Revision 4 (<a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a>).<p>International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade.<p>The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015.<p>The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity.<p>TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p>Regional Business Demography,<p>Structural Business Statistics by Size Class,<p>Timely Indicators of Entrepreneurship by Enterprise Characteristics. NonProductionDataflow true FLOW,ACTIVITY LAYOUT_ROW TIME_PERIOD,CPC LAYOUT_COLUMN REF_AREA,MEASURE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,SIZE_CLASS,TOP_ENT,TTRADER,TOWNERSHIP,EXPINT,TABLE NOT_DISPLAYED TABLE=T05,FREQ=A,LASTNPERIODS=5,SIZE_CLASS=_T,FLOW=M,ACTIVITY=_T+A_F_HTU+A+A01+A02+A03+B+B05+B06+B07+B08+B09+BTE+C+C10+C11+C12+C13+C14+C15+C16+C17+C18+C19+C20+C21+C22+C23+C24+C25+C26+C27+C28+C29+C30+C31+C32+C33+D+D35+E+E36+E37+E38+E39+F+F41+F42+F43+G+G45+G46+G47+H+H49+H50+H51+H52+H53+I_OTU+I55+I56+J+J58+J59+J60+J61+J62+J63+K+K64+K65+K66+L+L68+M+M69+M70+M71+M72+M73+M74+M75+N+N77+N78+N79+N80+N81+N82+O+O84+P+P85+Q+Q87+Q88+R+R91+R92+R93+S+S95+S96+T_U+U+U99,PARTNER_COUNTRY=EU00+WXEU00+W,REF_AREA=BEL DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Commerce international par caractéristiques économiques des entreprises par catégories de biens (CPC) Trade in goods by enterprise characteristics by commodity groups (CPC) Ce tableau (TEC 05) présente une répartition par <b>catégories de biens (CPC)</b> et par <b>activité économique</b> selon la Classification internationale type par industrie, révision 4 (<a href="https://unstats.un.org/ unsd/classifications/Econ/isic">CITI Rév. 4</a>).<p>La base de données Commerce international par caractéristiques économiques des entreprises (TEC) vise à combler cette lacune et contient des données sur le commerce international annuel de marchandises ventilées par différentes catégories d'entreprises. Ces données constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles répondent à des questions telles que : qui sont les entreprises engagées sur les marchés étrangers et quelles sont leurs caractéristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 États membres de l'UE ainsi que le Canada, le Costa Rica, la Norvège, Israël, la Turquie, le Royaume Uni et les États-Unis. Les données pour le Royaume-Uni n'ont pas été mises à jour depuis l'année de référence 2018, pour la Corée et le Mexique depuis l'année de référence 2015.<p>La base de données se compose de dix ensembles de données présentant diverses combinaisons de ventilations par activité économique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commerçants, type de propriété (étrangère vs. nationale), intensité des exportations.</p><p>Les données TEC sont collectées en coopération avec Eurostat et directement auprès des instituts statistiques nationales (INS). Pour créer des données TEC, les INS doivent attribuer les flux commerciaux à des entreprises présentant des caractéristiques différentes en fusionnant les données sur le commerce international (généralement des données douanières) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.​<p><b><i>Ensembles de données associé:</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Démographie régionale des entreprises,<p>Statistiques structurelles des entreprises par classe de taille,<p>Indicateurs rapides d’entrepreneuriat par type d’entreprise. This dataset (TEC 05) presents a breakdown by <b>commodity groups (CPC)</b> and by <b>economic activity</b> according to International Standard Industrial Classification, Revision 4 (<a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a>).<p>International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade.<p>The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015.<p>The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity.<p>TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p>Regional Business Demography,<p>Structural Business Statistics by Size Class,<p>Timely Indicators of Entrepreneurship by Enterprise Characteristics. NonProductionDataflow true ACTIVITY,TTRADER,FLOW LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,SIZE_CLASS,TOP_ENT,CPC,TOWNERSHIP,EXPINT,TABLE NOT_DISPLAYED TABLE=T06,FREQ=A,LASTNPERIODS=5,SIZE_CLASS=_T,FLOW=M+X+_T,ACTIVITY=_T+A+B+C+C10+C101+C102+C103+C104+C105+C106+C107+C108+C11+C12+C13+C131+C139+C14+C141+C142+C143+C15+C151+C152+C16+C161+C162+C17+C170+C18+C181+C182+C19+C191+C192+C20+C201+C202+C203+C21+C210+C22+C221+C222+C23+C231+C239+C24+C241+C242+C243+C25+C251+C252+C259+C26+C261+C262+C263+C264+C265+C266+C267+C268+C27+C271+C272+C273+C274+C275+C279+C28+C281+C282+C29+C291+C292+C293+C30+C301+C302+C303+C304+C309+C31+C32+C321+C322+C323+C324+C325+C329+C33+C331+C332+D+D35+D351+D352+D353+E+E36+E37+E38+E381+E382+E383+E39+F+G+G45+G451+G452+G453+G454+G46+G461+G462+G463+G464+G465+G466+G469+G47+G471+G472+G473+G474+G475+G476+G477+G478+G479+H+I+J+K+L+M+N+O+P+Q+R+S,PARTNER_COUNTRY=W,REF_AREA=DEU DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Commerce international par caractéristiques économiques des entreprises par type de commerçant Trade in goods by enterprise characteristics by type of trader Ce tableau (TEC 06) présente une répartition par <b>type de commerçant</b> et par <b>activité économique</b> selon la Classification internationale type par industrie, révision 4 (<a href="https://unstats.un.org/ unsd/classifications/Econ/isic">CITI Rév. 4</a>).<p>La base de données Commerce international par caractéristiques économiques des entreprises (TEC) vise à combler cette lacune et contient des données sur le commerce international annuel de marchandises ventilées par différentes catégories d'entreprises. Ces données constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles répondent à des questions telles que : qui sont les entreprises engagées sur les marchés étrangers et quelles sont leurs caractéristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 États membres de l'UE ainsi que le Canada, le Costa Rica, la Norvège, Israël, la Turquie, le Royaume Uni et les États-Unis. Les données pour le Royaume-Uni n'ont pas été mises à jour depuis l'année de référence 2018, pour la Corée et le Mexique depuis l'année de référence 2015.<p>La base de données se compose de dix ensembles de données présentant diverses combinaisons de ventilations par activité économique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commerçants, type de propriété (étrangère vs. nationale), intensité des exportations.</p><p>Les données TEC sont collectées en coopération avec Eurostat et directement auprès des instituts statistiques nationales (INS). Pour créer des données TEC, les INS doivent attribuer les flux commerciaux à des entreprises présentant des caractéristiques différentes en fusionnant les données sur le commerce international (généralement des données douanières) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.​<p><b><i>Ensembles de données associé:</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Démographie régionale des entreprises,<p>Statistiques structurelles des entreprises par classe de taille,<p>Indicateurs rapides d’entrepreneuriat par type d’entreprise. This dataset (TEC 06) presents a breakdown by <b>type of trader</b> and by <b>economic activity</b> according to International Standard Industrial Classification, Revision 4 (<a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a>).<p>International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade.<p>The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015.<p>The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity.<p>TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p>Regional Business Demography,<p>Structural Business Statistics by Size Class,<p>Timely Indicators of Entrepreneurship by Enterprise Characteristics. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD,TOWNERSHIP LAYOUT_COLUMN FLOW,MEASURE,REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,SIZE_CLASS,TOP_ENT,CPC,TTRADER,EXPINT,TABLE NOT_DISPLAYED TABLE=T07,FREQ=A,LASTNPERIODS=5,SIZE_CLASS=_T,FLOW=X,MEASURE=TUTT_TEC,ACTIVITY=_T+A_F_HTU+A+A01+A02+A03+B+B05+B06+B07+B08+B09+BTE+C+C10+C11+C12+C13+C14+C15+C16+C17+C18+C19+C20+C21+C22+C23+C24+C25+C26+C27+C28+C29+C30+C31+C32+C33+D+D35+E+E36+E37+E38+E39+F+F41+F42+F43+G+G45+G46+G47+H+H49+H50+H51+H52+H53+I+I_OTU+I55+I56+J+J58+J59+J60+J61+J62+J63+K+K64+K65+K66+L+L68+M+M69+M70+M71+M72+M73+M74+M75+N+N77+N78+N79+N80+N81+N82+O+O84+P+P85+Q+R+S,PARTNER_COUNTRY=W,REF_AREA=FIN DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Commerce international par caractéristiques économiques des entreprises par contrôle (domestique ou étranger) Trade in goods by enterprise characteristics by ownership (domestic or foreign) Ce tableau (TEC 07) présente une répartition par <b>contrôle (domestique ou étranger)</b> et par <b>activité économique</b> selon la Classification internationale type par industrie, révision 4 (<a href="https://unstats.un.org/ unsd/classifications/Econ/isic">CITI Rév. 4</a>).<p>La base de données Commerce international par caractéristiques économiques des entreprises (TEC) vise à combler cette lacune et contient des données sur le commerce international annuel de marchandises ventilées par différentes catégories d'entreprises. Ces données constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles répondent à des questions telles que : qui sont les entreprises engagées sur les marchés étrangers et quelles sont leurs caractéristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 États membres de l'UE ainsi que le Canada, le Costa Rica, la Norvège, Israël, la Turquie, le Royaume Uni et les États-Unis. Les données pour le Royaume-Uni n'ont pas été mises à jour depuis l'année de référence 2018, pour la Corée et le Mexique depuis l'année de référence 2015.<p>La base de données se compose de dix ensembles de données présentant diverses combinaisons de ventilations par activité économique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commerçants, type de propriété (étrangère vs. nationale), intensité des exportations.</p><p>Les données TEC sont collectées en coopération avec Eurostat et directement auprès des instituts statistiques nationales (INS). Pour créer des données TEC, les INS doivent attribuer les flux commerciaux à des entreprises présentant des caractéristiques différentes en fusionnant les données sur le commerce international (généralement des données douanières) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.​<p><b><i>Ensembles de données associé:</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Démographie régionale des entreprises,<p>Statistiques structurelles des entreprises par classe de taille,<p>Indicateurs rapides d’entrepreneuriat par type d’entreprise. This dataset (TEC 07) presents a breakdown by <b>ownership (domestic or foreign)</b> and by <b>economic activity</b> according to International Standard Industrial Classification, Revision 4 (<a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a>).<p>International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade.<p>The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015.<p>The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity.<p>TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p>Regional Business Demography,<p>Structural Business Statistics by Size Class,<p>Timely Indicators of Entrepreneurship by Enterprise Characteristics. NonProductionDataflow true ACTIVITY,EXPINT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,SIZE_CLASS,TOP_ENT,CPC,TTRADER,TOWNERSHIP,TABLE NOT_DISPLAYED TABLE=T08,FREQ=A,LASTNPERIODS=4,SIZE_CLASS=_T,FLOW=X,ACTIVITY=_T+A_F_HTU+A+A01+A02+A03+B+B05+B06+B07+B08+B09+BTE+C+C10+C11+C12+C13+C14+C15+C16+C17+C18+C19+C20+C21+C22+C23+C24+C25+C26+C27+C28+C29+C30+C31+C32+C33+D+D35+E+E36+E37+E38+E39+F+F41+F42+F43+G+G45+G46+G47+H+H49+H50+H51+H52+H53+I+I_OTU+I55+I56+J+J58+J59+J60+J61+J62+J63+K+K64+K65+K66+L+L68+M+M69+M70+M71+M72+M73+M74+M75+N+N77+N78+N79+N80+N81+N82+O+O84+P+P85+Q+R+S,PARTNER_COUNTRY=EU00+WXEU00+W,REF_AREA=FRA DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Commerce international par caractéristiques économiques des entreprises par intensité des exportations Trade in goods by enterprise characteristics by exports intensity Ce tableau (TEC 08) présente une répartition par <b>intensité des exportations</b> et par <b>activité économique</b> selon la Classification internationale type par industrie, révision 4 (<a href="https://unstats.un.org/ unsd/classifications/Econ/isic">CITI Rév. 4</a>).<p>La base de données Commerce international par caractéristiques économiques des entreprises (TEC) vise à combler cette lacune et contient des données sur le commerce international annuel de marchandises ventilées par différentes catégories d'entreprises. Ces données constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles répondent à des questions telles que : qui sont les entreprises engagées sur les marchés étrangers et quelles sont leurs caractéristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 États membres de l'UE ainsi que le Canada, le Costa Rica, la Norvège, Israël, la Turquie, le Royaume Uni et les États-Unis. Les données pour le Royaume-Uni n'ont pas été mises à jour depuis l'année de référence 2018, pour la Corée et le Mexique depuis l'année de référence 2015.<p>La base de données se compose de dix ensembles de données présentant diverses combinaisons de ventilations par activité économique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commerçants, type de propriété (étrangère vs. nationale), intensité des exportations.</p><p>Les données TEC sont collectées en coopération avec Eurostat et directement auprès des instituts statistiques nationales (INS). Pour créer des données TEC, les INS doivent attribuer les flux commerciaux à des entreprises présentant des caractéristiques différentes en fusionnant les données sur le commerce international (généralement des données douanières) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.​<p><b><i>Ensembles de données associé:</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Démographie régionale des entreprises,<p>Statistiques structurelles des entreprises par classe de taille,<p>Indicateurs rapides d’entrepreneuriat par type d’entreprise. This dataset (TEC 08) presents a breakdown by <b>exports intensity</b> and by <b>economic activity</b> according to International Standard Industrial Classification, Revision 4 (<a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a>).<p>International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade.<p>The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015.<p>The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity.<p>TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p>Regional Business Demography,<p>Structural Business Statistics by Size Class,<p>Timely Indicators of Entrepreneurship by Enterprise Characteristics. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,SIZE_CLASS,TOP_ENT,CPC,TTRADER,TOWNERSHIP,EXPINT,TABLE NOT_DISPLAYED TABLE=T09,FREQ=A,LASTNPERIODS=10,SIZE_CLASS=_T,MEASURE=ENTR_TUTT,FLOW=X,ACTIVITY=_T+A+A01+A02+A03+B+B05+B06+B07+B08+B09+C+C10+C101+C102+C103+C104+C105+C106+C107+C108+C11+C12+C13+C131+C139+C14+C141+C142+C143+C15+C151+C152+C16+C161+C162+C17+C170+C18+C181+C182+C19+C191+C192+C20+C201+C202+C203+C21+C210+C22+C221+C222+C23+C231+C239+C24+C241+C242+C243+C25+C251+C252+C259+C26+C261+C262+C263+C264+C265+C266+C267+C268+C27+C271+C272+C273+C274+C275+C279+C28+C281+C282+C29+C291+C292+C293+C30+C301+C302+C303+C304+C309+C31+C32+C321+C322+C323+C324+C325+C329+C33+C331+C332+D+D35+D351+D352+D353+E+E36+E37+E38+E381+E382+E383+E39+F+F41+F42+F43+G+G45+G451+G452+G453+G454+G46+G461+G462+G463+G464+G465+G466+G469+G47+G471+G472+G473+G474+G475+G476+G477+G478+G479+H+H49+H50+H51+H52+H53+I+I55+I56+J+J58+J59+J60+J61+J62+J63+K+K64+K65+K66+L+L68+M+M69+M70+M71+M72+M73+M74+M75+N+N77+N78+N79+N80+N81+N82+O+O84+P+P85+Q+Q86+Q87+Q88+R+R90+R91+R92+R93+S+S94+S95+S96+T+T97+T98+U+U99,PARTNER_COUNTRY=W,REF_AREA=NLD DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Commerce international par caractéristiques économiques des entreprises par secteur d'activité Trade in goods by enterprise characteristics by activity sectors Ce tableau (TEC 09) présente une répartition par <b>activité économique</b> selon la Classification internationale type par industrie, révision 4 (<a href="https://unstats.un.org/ unsd/classifications/Econ/isic">CITI Rév. 4</a>) au niveau des groupes (3-chiffres).<p>La base de données Commerce international par caractéristiques économiques des entreprises (TEC) vise à combler cette lacune et contient des données sur le commerce international annuel de marchandises ventilées par différentes catégories d'entreprises. Ces données constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles répondent à des questions telles que : qui sont les entreprises engagées sur les marchés étrangers et quelles sont leurs caractéristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 États membres de l'UE ainsi que le Canada, le Costa Rica, la Norvège, Israël, la Turquie, le Royaume Uni et les États-Unis. Les données pour le Royaume-Uni n'ont pas été mises à jour depuis l'année de référence 2018, pour la Corée et le Mexique depuis l'année de référence 2015.<p>La base de données se compose de dix ensembles de données présentant diverses combinaisons de ventilations par activité économique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commerçants, type de propriété (étrangère vs. nationale), intensité des exportations.</p><p>Les données TEC sont collectées en coopération avec Eurostat et directement auprès des instituts statistiques nationales (INS). Pour créer des données TEC, les INS doivent attribuer les flux commerciaux à des entreprises présentant des caractéristiques différentes en fusionnant les données sur le commerce international (généralement des données douanières) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.​<p><b><i>Ensembles de données associé:</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Démographie régionale des entreprises,<p>Statistiques structurelles des entreprises par classe de taille,<p>Indicateurs rapides d’entrepreneuriat par type d’entreprise. This dataset (TEC 09) presents a breakdown by <b>economic activity</b> at group- (3-digit) level of International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a>.<p>International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade.<p>The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015.<p>The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity.<p>TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p>Regional Business Demography,<p>Structural Business Statistics by Size Class,<p>Timely Indicators of Entrepreneurship by Enterprise Characteristics. NonProductionDataflow true SIZE_CLASS LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,FLOW,MEASURE LAYOUT_ROW_SECTION FREQ,OBS_STATUS=A,TOP_ENT,CPC,TTRADER,TOWNERSHIP,EXPINT,TABLE NOT_DISPLAYED TABLE=T10,FREQ=A,LASTNPERIODS=5,SIZE_CLASS=_T+S0T9+S10T49+S50T249+S_GE250+S0T249+_X,FLOW=M,ACTIVITY=_T,PARTNER_COUNTRY=W,REF_AREA=AUT+BEL+BGR+BIH+CAN+CHE+CRI+CYP+CZE+DEU+DNK+ESP+EST+FIN+FRA+GBR+GRC+HRV+HUN+IRL+ISL+ISR+ITA+KOR+LTU+LUX+LVA+MEX+MKD+MLT+NLD+NOR+POL+PRT+ROU+SRB+SVK+SVN+SWE+TUR+USA DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Commerce international par caractéristiques économiques des entreprises par pays partenaire et classe de taille Trade in goods by enterprise characteristics by partner countries and size-class Ce tableau (TEC 10) présente une répartition par <b>par pays partenaire</b> et <b>classe de taille d'emploi</b>.<p>La base de données Commerce international par caractéristiques économiques des entreprises (TEC) vise à combler cette lacune et contient des données sur le commerce international annuel de marchandises ventilées par différentes catégories d'entreprises. Ces données constituent une base solide pour les analyses politiques qui explorent les types d'entreprises responsables du commerce international de marchandises. Elles répondent à des questions telles que : qui sont les entreprises engagées sur les marchés étrangers et quelles sont leurs caractéristiques. Les valeurs des exportations et des importations ainsi que le nombre d'entreprises exportatrices et importatrices sont disponibles pour 26 pays de l'OCDE et 8 pays non membres de l'OCDE : les 27 États membres de l'UE ainsi que le Canada, le Costa Rica, la Norvège, Israël, la Turquie, le Royaume Uni et les États-Unis. Les données pour le Royaume-Uni n'ont pas été mises à jour depuis l'année de référence 2018, pour la Corée et le Mexique depuis l'année de référence 2015.<p>La base de données se compose de dix ensembles de données présentant diverses combinaisons de ventilations par activité économique, classe de taille de l'emploi, concentration du commerce, pays partenaires, produit de base, type de commerçants, type de propriété (étrangère vs. nationale), intensité des exportations.</p><p>Les données TEC sont collectées en coopération avec Eurostat et directement auprès des instituts statistiques nationales (INS). Pour créer des données TEC, les INS doivent attribuer les flux commerciaux à des entreprises présentant des caractéristiques différentes en fusionnant les données sur le commerce international (généralement des données douanières) avec les informations des registres statistiques d'entreprises au niveau de chaque entreprise.​<p><b><i>Ensembles de données associé:</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Démographie régionale des entreprises,<p>Statistiques structurelles des entreprises par classe de taille,<p>Indicateurs rapides d’entrepreneuriat par type d’entreprise. This dataset (TEC 10) presents a breakdown by <b>partner countries</b> and <b>size-class</b>.<p>International trade statistics are among the most widely available and consulted data, and offer a picture of trade flows between countries, broken down by types of goods and services. However, such conventional international trade statistics do not offer insights into the actors who are actually engaged in cross-border trade.<p>The Trade by Enterprise Characteristics (TEC) database aims to fill this gap, and contains international annual trade in goods data broken down by different categories of enterprises. The data provide a solid basis for policy analyses that explore which types of firms are responsible for international trade in goods. It answers questions like who are the firms that are engaged in foreign markets, and what are their characteristics. Both the export and import values and the number of exporting and importing enterprises are available for 26 OECD and 8 non-OECD countries: including 27 EU member states plus Canada, Costa Rica, Norway, Israel, Turkey, the United Kingdom and the United States. Data for the United Kingdom haven't been updated since reference year 2018, for Korea and Mexico since reference year 2015.<p>The database consists of ten datasets presenting various combinations of breakdowns by economic activity, employment size class, concentration of trade, partner countries, commodity, type of traders, type of ownership (foreign vs. domestic), exports intensity.<p>TEC data are collected in co-operation with Eurostat and directly from National Statistical Authorities (NSOs). To create TEC data, NSOs have to attribute trade flows to enterprises with different characteristics by merging data on international trade (usually customs data) with statistical business register information on enterprises at the individual enterprise level.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p>Regional Business Demography,<p>Structural Business Statistics by Size Class,<p>Timely Indicators of Entrepreneurship by Enterprise Characteristics. NonProductionDataflow true REF_AREA,LEGAL_FORM,TIME_PERIOD LAYOUT_ROW ACTIVITY LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=Q,LASTNPERIODS=8,MEASURE=ENTRIES,SIZE_CLASS=_T,ACTIVITY=_T+BTSXO_S94+BTNXK,REF_AREA=AUS+AUT+BEL+BGR+CAN+HRV+CZE+DEU+DNK+ESP+EST+FIN+FRA+GBR+GRC+HUN+ISL+ITA+LTU+NLD+NOR+NZL+POL+PRT+SVN+SWE+TUR+USA+SGP DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics Indicateurs rapides d’entrepreneuriat par type d’entreprise <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D_E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+_T+_X,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8,LEGAL_FORM=LL DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Australia Indicateurs rapides d’entrepreneuriat par type d’entreprise, Australie <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Australia</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour <b>l'Australie</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true LEGAL_FORM,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=_T+BTE+F+G+H+I+J+KTN+PTSX94+BTSXO_S94+BTF+GTN+BTN,REF_AREA=AUT DEFAULT ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_AUT(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Austria Indicateurs rapides d’entrepreneuriat par type d’entreprise, Autriche <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Austria</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour <b>l'Autriche</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA,LEGAL_FORM LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+BTE+F+GTN+OTU+_X+_T,REF_AREA=BEL+BE1+BE2+BE3 DEFAULT ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_BEL(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Belgium Indicateurs rapides d’entrepreneuriat par type d’entreprise, Belgique <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Belgium</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour la <b>Bélgique</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true LEGAL_FORM,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=BTE+BTF+BTN+BTSXO_S94+F+G+GTN+H+I+J+KTN+PTSX94,REF_AREA=BGR DEFAULT ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_BGR(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Bulgaria Indicateurs rapides d’entrepreneuriat par type d’entreprise, Bulgarie <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Bulgaria</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour la <b>Bulgarie</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true LEGAL_FORM,ACTIVITY,ADJUSTMENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D_E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+_T,REF_AREA=CA10+CA11+CA12+CA13+CA24+CA35+CA46+CA47+CA48+CA59+CA60+CA61+CA62+CAN DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Canada Indicateurs rapides d’entrepreneuriat par type d’entreprise, Canada <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Canada</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour <b>Canada</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true LEGAL_FORM,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=BTSXO_S94+BTE+F+G+H+I+J+KTN+PTSX94+BTF+BTN+GTN,REF_AREA=CZE DEFAULT ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_CZE(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Czechia Indicateurs rapides d’entrepreneuriat par type d’entreprise, Tchéquie <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Czechia</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour <b>Tchéquie</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true LEGAL_FORM,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=_T+A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S,REF_AREA=DE1+DE2+DE3+DE4+DE5+DE6+DE7+DE8+DE9+DEA+DEB+DEC+DED+DEE+DEF+DEG+DEU DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Germany Indicateurs rapides d’entrepreneuriat par type d’entreprise, Allemagne <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Germany</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour <b>l'Allemagne</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true LEGAL_FORM,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+BTE+F+G+H+I+J+K+L+M_N+OTQ+R+_T+_X,REF_AREA=DK01+DK02+DK03+DK04+DK05+DNK DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Denmark Indicateurs rapides d’entrepreneuriat par type d’entreprise, Danemark <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Denmark</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour <b>Danemark</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true LEGAL_FORM,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=_T+A+B+C+D+E+BTE+F+GTN+G+H+I+J+K+L+M+N+O+P+Q+R+S+OTU,REF_AREA=ES11+ES12+ES13+ES21+ES22+ES23+ES24+ES30+ES41+ES42+ES43+ES51+ES52+ES53+ES61+ES62+ES63+ES64+ES70+ESP DEFAULT ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_ESP(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Spain Indicateurs rapides d’entrepreneuriat par type d’entreprise, Espagne <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Spain</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour <b>l'Espagne</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true LEGAL_FORM,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+_T,REF_AREA=EST DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Estonia Indicateurs rapides d’entrepreneuriat par type d’entreprise, Estonie <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Estonia</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour <b>l'Estonie</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true LEGAL_FORM,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_T+_X,REF_AREA=FI19+FI1B+FI1C+FI1D+FI20+FIN DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Finland Indicateurs rapides d’entrepreneuriat par type d’entreprise, Finlande <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Finland</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour la <b>Finlande</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true LEGAL_FORM,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+BTE+F+G+H+I+J+K+L+M_N+OTQ+S+_T+BTNXK,REF_AREA=FR1+FRA+FRB+FRC+FRD+FRE+FRF+FRG+FRH+FRI+FRJ+FRK+FRL+FRM+FRY1+FRY2+FRY3+FRY4+FRY5 DEFAULT ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_FRA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, France Indicateurs rapides d’entrepreneuriat par type d’entreprise, France <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>France</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour la <b>France</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_T+_X,REF_AREA=GBR+UK1+UKM+UKN DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, United Kingdom Indicateurs rapides d’entrepreneuriat par type d’entreprise, Royaume-Uni <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for the <b>United Kingdom</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour le <b>Royaume-Uni</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA,LEGAL_FORM LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+_T+_X,REF_AREA=EL3+EL4+EL5+EL6+GRC DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Greece Indicateurs rapides d’entrepreneuriat par type d’entreprise, Grèce <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Greece</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour la <b>Grèce</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+P+Q+R+BTE+GTN+ATSXO_S94,REF_AREA=HRV DEFAULT ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_HRV(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Croatia Indicateurs rapides d’entrepreneuriat par type d’entreprise, Croatie <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Croatia</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour la <b>Croatie</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true LEGAL_FORM,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+_T+_X,REF_AREA=HUN DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Hungary Indicateurs rapides d’entrepreneuriat par type d’entreprise, Hongrie <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Hungary</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour la <b>Hongrie</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true LEGAL_FORM,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_T+_X,REF_AREA=ISL DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Iceland Indicateurs rapides d’entrepreneuriat par type d’entreprise, Islande <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Iceland</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour <b>l'Islande</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true LEGAL_FORM LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=Q,LASTNPERIODS=6,SIZE_CLASS=_T,ACTIVITY=C+G,REF_AREA=ITI2+ITI3+ITF3+ITF4+ITI1+ITF2+ITF5+ITC1+ITG2+ITF1+ITF6+ITH2+ITH4+ITC3+ITA+ITC4+ITH5+ITC2+ITI4+ITH3+ITG1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Italy Indicateurs rapides d’entrepreneuriat par type d’entreprise, Italie <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Italy</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour <b>l'Italie</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_T+_X,REF_AREA=LT01+LT02+LTU DEFAULT ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_LTU(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Lithuania Indicateurs rapides d’entrepreneuriat par type d’entreprise, Lituanie <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Lithuania</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour la <b>Lituanie</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true LEGAL_FORM,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+O+P+Q+R+S+T+U+_T+_X,REF_AREA=NL11+NL12+NL13+NL21+NL22+NL23+NL31+NL32+NL33+NL34+NL41+NL42+NLD DEFAULT ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_NLD(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Netherlands Indicateurs rapides d’entrepreneuriat par type d’entreprise, Pays Bas <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Netherlands</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour les <b>Pays Bas</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,LEGAL_FORM LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=A+BTE+F+GTN+O_STU+P_Q+_T+_X,REF_AREA=NOR DEFAULT ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_NOR(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Norway Indicateurs rapides d’entrepreneuriat par type d’entreprise, Norvège <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Norway</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour la <b>Norvège</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=_T,REF_AREA=NZ11+NZ12+NZ13+NZ14+NZ15+NZ16+NZ17+NZ18+NZ19+NZ21+NZ22+NZ23+NZ24+NZ25+NZL DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, New Zealand Indicateurs rapides d’entrepreneuriat par type d’entreprise, Nouvelle-Zélande <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>New Zealand</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour la <b>Nouvelle-Zélande</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,LEGAL_FORM LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=BTE+F+G+H+I+J+KTN+PTSX94+BTF+BTN+GTN,REF_AREA=POL DEFAULT ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_POL(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Poland Indicateurs rapides d’entrepreneuriat par type d’entreprise, Pologne <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Poland</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour la <b>Pologne</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA,LEGAL_FORM LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=Q,LASTNPERIODS=6,SIZE_CLASS=_T,ACTIVITY=A+B+C+D+E+F+G+H+I+J+K+L+M+N+P+Q+R+S+_T,REF_AREA=PRT+PT11+PT15+PT16+PT17+PT18+PT20+PT30+PT19+PT1A+PT1B+PT1C+PT1D DEFAULT ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_PRT(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Portugal Indicateurs rapides d’entrepreneuriat par type d’entreprise, Portugal <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Portugal</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour <b>Portugal</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,LEGAL_FORM LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=C+F+G+H+I+J+K+L+M+N+_T+_X+GTN+M_N+P_Q+R_S+GTNXK,REF_AREA=SGP DEFAULT ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_SGP(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Singapore Indicateurs rapides d’entrepreneuriat par type d’entreprise, Singapour <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Singapore</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour <b>Singapour</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true LEGAL_FORM LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=M,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=_T,REF_AREA=SVN DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Slovenia Indicateurs rapides d’entrepreneuriat par type d’entreprise, Slovénie <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Slovenia</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour la <b>Slovénie</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,REF_AREA,LEGAL_FORM LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=Q,LASTNPERIODS=6,SIZE_CLASS=_T,ACTIVITY=A+BTE+F+GTN+O_STU+P+Q+R+STU+_T+_X,REF_AREA=SE11+SE12+SE21+SE22+SE23+SE31+SE32+SE33+SWE DEFAULT ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_SWE(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Sweden Indicateurs rapides d’entrepreneuriat par type d’entreprise, Suède <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Sweden</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour la <b>Suède</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true TIME_PERIOD LAYOUT_ROW MEASURE LAYOUT_COLUMN OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=M,LASTNPERIODS=240,SIZE_CLASS=_T,ACTIVITY=_T,REF_AREA=TUR DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, Türkiye Indicateurs rapides d’entrepreneuriat par type d’entreprise, Turquie <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for <b>Türkiye</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour la <b>Turquie</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true REF_AREA,ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,SIZE_CLASS NOT_DISPLAYED FREQ=Q,LASTNPERIODS=12,SIZE_CLASS=_T,ACTIVITY=_T+B+C+F+G+H+I+J+K+BTE+BTF+BTN+D_E+GTN+GTU+M_N+P_Q+B_D_E+BTNXK+GTNXK,REF_AREA=US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56+USA+PRI+VIR DEFAULT ACTIVITY:OECD.SDD.TPS:HCL_ACTIVITY_USA(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Timely indicators of entrepreneurship by enterprise characteristics, United States Indicateurs rapides d’entrepreneuriat par type d’entreprise, États-Unis <p>Timely Indicators of Entrepreneurship have become integral part of business statistics offering of most OECD member countries and beyond. It supplements more complete annual datasets (e.g. Business Demography, Structural Business Statistics by Size class) with more timely monthly or quarterly information on a limited number of indicators.<p>Data are broken down whenever available by<ul><li><u>economic activity</u> according to International Standard Industrial Classification, Revision 4 (ISIC Rev.4): <a href="https://unstats.un.org/unsd/classifications/Econ/isic">ISIC Rev. 4</a> at the level of sections (letters) and higher aggregates, most often covering the total economy,</li><li><u>geographic area</u> at country and <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">TL2 level</a> of the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">OECD Territorial grids</a>,</li><li><u>legal form</u> into three main groups: Limited liability (LL), Partnership (PA) and Sole proprietorship (SP).</li></ul></p><p>With very few exceptions, series are not seasonally or calendar adjusted, so care should be taken in interpreting sub-annual changes.<p> Timely Indicators of Entrepreneurship provide valuable information to policy makers and researchers on most recent trends in business dynamics.<p>This dataset presents timely indicators for the <b>United States</b>.<p><b><i>Related datasets:</i></b><p>Employer Business Demography Statistics,<p>Business Demography Statistics,<p><a href="https://data-explorer.oecd.org/vis?lc=en&pg=0&bp=true&snb=2&tm=sdbs&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&pd=2018%2C&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&ly[rw]=REF_AREA&ly[cl]=TIME_PERIOD%2CSIZE_CLASS&ly[rs]=MEASURE&to[TIME_PERIOD]=false" target="_blank" rel="noopener noreferrer">Structural Business Statistics by Size Class</a>. <p>Les indicateurs rapides de l'entrepreneuriat font désormais partie intégrante de l’offre de statistiques d’entreprises de la plupart des pays membres de l’OCDE et au-delà. Il complète l'ensembles de données annuelles plus complètes (par exemple, démographie des entreprises, statistiques structurelles des entreprises par classe de taille) avec des informations mensuelles ou trimestrielles plus actuelles sur un nombre limité d'indicateurs.<p>Les données sont ventilées dès que possible par<ul><li><u >activité économique</u> selon la Classification internationale type par industrie, révision 4 (CITI Rév.4) : <a href="https://unstats.un.org/unsd/classifications/Econ/isic">CITI Rév. 4</a> au niveau des sections (lettres) et des agrégats supérieurs, couvrant le plus souvent l'économie totale,</li><li><u>zone géographique</u> au niveau du pays et au niveau OCDE TL2, </li><li><u>forme juridique</u> en trois groupes principaux : Responsabilité limitée (LL), Société en nom collectif (PA) et Entreprise individuelle (SP).</li></ul></p> <p>À de très rares exceptions près, les séries ne sont pas corrigées des variations saisonnières ou calendaires. Il convient donc d'être prudent dans l'interprétation des changements infra-annuels.<p> Les indicateurs rapides de l'entrepreneuriat fournissent des informations précieuses aux décideurs politiques et aux chercheurs sur les tendances les plus récentes de la dynamique des entreprises.<p>Ce tableau présente les données pour les <b>États-Unis</b>.<p><b><i>Données associés</i></b><p>Démographie des entreprises employant des salariés,<p>Démographie des entreprises,<p>Statistiques structurelles des entreprises par classe de taille. NonProductionDataflow true BUSINESS_DEVELOPMENT_STAGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION MEASURE=VC_INV_MKT,FREQ=A,UNIT_MULT=0,OBS_STATUS=A,CURRENCY=_Z+USD,DECIMALS NOT_DISPLAYED UNIT_MEASURE=USD_EXC,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Investissements de capital-risque (statistiques de marché) Venture capital investments (market statistics) Dans la Base de donn&eacute;es de l&rsquo;OCDE sur le financement de l&rsquo;entrepreneuriat, le capital risque correspond &agrave; la somme du capital risque investi au stade de d&eacute;veloppement initial (qui comprend le pr&eacute;amor&ccedil;age, l&rsquo;amor&ccedil;age, le d&eacute;marrage et les autres stades de d&eacute;veloppement initial) et au stade de d&eacute;veloppement ult&eacute;rieur. Comme les diverses associations d&rsquo;investisseurs de capital risque et autres fournisseurs de donn&eacute;es n&rsquo;utilisent pas de d&eacute;finition harmonis&eacute;e des stades d&rsquo;investissement du capital risque, les donn&eacute;es d&rsquo;origine ont &eacute;t&eacute; agr&eacute;g&eacute;es &agrave; nouveau de mani&egrave;re &agrave; correspondre &agrave; la classification du capital risque par stades de d&eacute;veloppement de l&rsquo;OCDE. L&rsquo;Afrique du Sud, la Cor&eacute;e, la F&eacute;d&eacute;ration de Russie et la Nouvelle Z&eacute;lande ne fournissent pas de ventilations du capital risque par stade de d&eacute;veloppement qui permettraient de r&eacute;aliser des comparaisons internationales valables.</p><p>Le tableau ci-joint pr&eacute;sente les correspondances entre les donn&eacute;es d&rsquo;origine et les donn&eacute;es harmonis&eacute;es par l&rsquo;OCDE de la ventilation du capital risque par stade de d&eacute;veloppement.</p><p><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2aa27890-769e-4f10-843a-a654c5e7b24e">https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2aa27890-769e-4f10-843a-a654c5e7b24e</a></p><p>Le capital risque est une forme de capital investissement particuli&egrave;rement importante pour les jeunes entreprises pr&eacute;sentant un potentiel d&rsquo;innovation et de croissance, mais dont le mod&egrave;le &eacute;conomique n&rsquo;a pas encore fait ses preuves et qui n&rsquo;ont pas d&rsquo;historique d&rsquo;activit&eacute; ; il remplace ou compl&egrave;te les financements bancaires classiques. Le d&eacute;veloppement de cette forme de financement est consid&eacute;r&eacute; comme une condition cadre importante pour stimuler l&rsquo;entrepreneuriat innovant. Les donn&eacute;es agr&eacute;g&eacute;es sur le capital-risque fournissent des informations utiles sur l'&eacute;volution du secteur du capital-risque.</p><p>Ces donn&eacute;es sont g&eacute;n&eacute;ralement compil&eacute;es par des associations nationales et r&eacute;gionales de capital-investissement et de capital-risque, souvent avec le concours de fournisseurs de donn&eacute;es sur les entreprises. La qualit&eacute; et la disponibilit&eacute; de donn&eacute;es agr&eacute;g&eacute;es sur le capital-risque se sont consid&eacute;rablement am&eacute;lior&eacute;es ces derni&egrave;res ann&eacute;es ; il demeure difficile, cependant, de r&eacute;aliser des comparaisons internationales du fait de deux probl&egrave;mes principaux.</p><p>La premi&egrave;re difficult&eacute; tient &agrave; l&rsquo;absence de d&eacute;finition internationale normalis&eacute;e du capital-risque. Si tout le monde comprend de quoi il s&rsquo;agit, la d&eacute;finition des types d&rsquo;investissements inclus dans le capital-risque varie d&rsquo;un pays et d&rsquo;une r&eacute;gion &agrave; l&rsquo;autre. Dans certains cas, les diff&eacute;rences sont purement linguistiques ; dans d&rsquo;autres, elles sont plus profondes.</p><p>Le second probl&egrave;me a trait &agrave; la diversit&eacute; des m&eacute;thodes employ&eacute;es par ceux qui compilent les donn&eacute;es. C&rsquo;est la mani&egrave;re dont les donn&eacute;es sont collect&eacute;es qui d&eacute;termine si les statistiques sur le capital-risque donneront une image compl&egrave;te et repr&eacute;sentative de ce secteur dans un pays donn&eacute;.</p><p>Les unit&eacute;s utilis&eacute;es sont :<br />Millions de dollars des E-U; part du PIB.</p><p>Contact pour les statistiques de l'OCDE : <a href="mailto:stat.contact@oecd.org">stat.contact@oecd.org</a> In the OECD Entrepreneurship Financing Database, venture capital is made up of the sum of early stage (including pre-seed, seed, start-up and other early stage) and later stage venture capital. As there are no harmonised definitions of venture capital stages across venture capital associations and other data providers, original data have been re-aggregated to fit the OECD classification of venture capital by stages. Korea, New Zealand, the Russian Federation and South Africa do not provide breakdowns of venture capital by stage that would allow meaningful international comparisons.</p><p>The attached table shows the correspondences between original data and OECD harmonised data for venture capital investments by stage.</p><p><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2aa27890-769e-4f10-843a-a654c5e7b24e">https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2aa27890-769e-4f10-843a-a654c5e7b24e</a></p><p>Venture capital is a form of equity financing particularly relevant for young companies with innovation and growth potential but untested business models and no track record; it replaces or complements traditional bank finance. The development of the venture capital industry is considered an important framework condition to stimulate innovative entrepreneurship. Aggregate data on venture capital provide useful information on trends in the venture capital industry.</p><p>These data are typically compiled by national or regional Private Equity and Venture Capital Associations, often with the support of commercial data providers. The quality and availability of aggregate data on venture capital have improved considerably in recent years; international comparisons, however, remain complicated because of two main problems.</p><p>The first difficulty comes from the lack of a standard international definition of venture capital. While there is a general understanding, the definition of the types of investments included in venture capital varies across countries and regions. In some cases, differences are purely linguistic; in others, they are more substantive. The second problem relates to the diverse methodologies employed by data compilers. The completeness and representativeness of venture capital statistics with respect to the venture capital industry of a country will differ depending on how data were collected.</p><p>The units used are : Millions of US Dollars and share of GDP.</p><p>OECD statistics contact: <a href="mailto:stat.contact@oecd.org">stat.contact@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT NOT_DISPLAYED FREQ=Q,MEASURE=ALL DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 9000 MAX_TABLE_DATA Broadband and telecom databases Bases de données haut débit et télécoms NonProductionDataflow true DEO part 1 DEO partie 1 NonProductionDataflow true DEO part 2 DEO partie 2 NonProductionDataflow true DEO part 3 DEO partie 3 NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION TIME_HORIZON_USE,OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3 LAYOUT_FLAG UNIT_MULT=0,FREQ=A,OBS_STATUS=A,BREAKDOWN_V7,REF_AREA=WXOECD NOT_DISPLAYED SIZE_CLASS=S_GE10+S_GE100,ACTIVITY=_T,MEASURE=B1_B,TIME_PERIOD_START=2012 DEFAULT SIZE_CLASS:OECD.STI.DEP:HCL_SIZECLASS(1.0).H,ACTIVITY:OECD.STI.DEP:HCL_ACTIVITY_ISIC4(1.0).H HIER_CONTEXT ICT Access and Usage by Businesses Accès et utilisation des TIC par les entreprises <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>The <a href="https://data-explorer.oecd.org/vis?lc=en&df%5bds%5d=dsDisseminateFinalDMZ&df%5bid%5d=DSD_ICT_B%40DF_BUSINESSES&df%5bag%5d=OECD.STI.DEP&df%5bvs%5d=1.0&av=true&pd=2012%2C&dq=.A.B1_B.._T.S_GE100%2BS_GE10&ly%5brw%5d=REF_AREA&ly%5bcl%5d=TIME_PERIOD&to%5bTIME_PERIOD%5d=false&vw=tb">ICT Access and Usage by Businesses database</a> provides a selection of 59 <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=60b00bd0-07c4-4b1a-a891-6887c78a6551">indicators</a>, based on the 2nd revision of the <a href="https://web-archive.oecd.org/2015-10-26/376630-ICT-Model-Survey-Usage-Businesses.pdf">OECD Model Survey on ICT Access and Usage by Businesses</a>.</p> <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p> <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>The selected indicators originate from two sources:</p> <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><br>&nbsp; 1. An OECD data collection on the following OECD and accession countries or key partners: Australia, Brazil, Canada, Colombia, Japan, Korea, Mexico, New Zealand, Switzerland and the United States. Data collection methodology followed by these countries is available in each respective country metadata file.</p> <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><br>2. <a href="http://ec.europa.eu/eurostat/c/portal/layout?p_l_id=725143&p_v_l_s_g_id=0">Eurostat Statistics on Businesses</a> for the OECD countries that are part of the European Statistical system. For those countries, indicators shown in this database refer to the original indicator as published by EUROSTAT -see the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=988d6e51-8b82-4109-8b0a-2a74011bbb09">correspondence table</a>-. Please refer to <a href="https://ec.europa.eu/eurostat/web/digital-economy-and-society/methodology">Eurostat methodology</a> to access the methodological information.</p> <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><br>&nbsp;For all countries, breakdowns used correspond to those of EUROSTAT, unless otherwise stated in the metadata.</p> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3 LAYOUT_FLAG UNIT_MULT=0,FREQ=A,OBS_STATUS=A,BREAKDOWN_V7_HH,REF_AREA=WXOECD,INCOME_GROUP=INCOME_HH+INCOME2_HH+INCOME_HH_IND+INCOME2_HH_IND NOT_DISPLAYED MEASURE=B1_HH,TIME_PERIOD_START=2012,INCOME_GROUP=_T,GEO_AREA=_T DEFAULT 8000 MAX_TABLE_DATA ICT Access and Usage by Households Accès et utilisation des TIC par les les ménages <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'>The ICT Access and Usage by Households and Individuals database provides a selection of 106 <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2e129320-56f4-4caa-9930-4dbd388fdde5">indicators</a>, based on the of <a href="https://web-archive.oecd.org/2015-10-26/376629-ICT-Model-Survey-Access-Usage-Households-Individuals.pdf">2nd revision of the OECD Model Survey on ICT Access and Usage by Households and Individuals</a>.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><strong>This dataset relates to Households. For Individuals, please refer to <a href="https://data-explorer.oecd.org/vis?lc=en&df%5bds%5d=DisseminateFinalDMZ&df%5bid%5d=DSD_ICT_HH_IND%40DF_IND&df%5bag%5d=OECD.STI.DEP&df%5bvs%5d=1.0&av=true&pd=2012%2C&dq=.A.C5B_I...Y16T74._T._T._T._T&ly%5brw%5d=REF_AREA&ly%5bcl%5d=TIME_PERIOD&to%5bTIME_PERIOD%5d=false&vw=ov">ICT Access and Usage by Individuals</a>. In each of the datasets, only a limited combination of breakdowns is available.</strong></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><br>&nbsp; The selected indicators originate from two sources:</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><br>&nbsp; 1. An OECD data collection on the following OECD and accession countries or key partners: Australia, Brazil, Canada, Costa Rica, Chile, Colombia, Israel, Japan, Korea, Mexico, New Zealand, Switzerland, and the United States. Data collection methodology followed by these countries is available in each respective country metadata file.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><br>2. <a href="http://ec.europa.eu/eurostat/c/portal/layout?p_l_id=725143&p_v_l_s_g_id=0">Eurostat Statistics on Households and Individuals</a> for the OECD countries that are part of the European Statistical system. For those countries, indicators shown in this database refer to the original indicator as published by EUROSTAT -see the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=55ac7145-69b6-4671-8aec-e2c64884c2ef">correspondence table</a>-. Please refer to <a href="http://ec.europa.eu/eurostat/web/digital-economy-and-society/methodology">Eurostat methodology</a> to access the methodological information.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><br>&nbsp; For all countries, breakdowns used correspond to those of EUROSTAT, unless otherwise stated in the metadata.</p> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3 LAYOUT_FLAG UNIT_MULT=0,FREQ=A,OBS_STATUS=A,BREAKDOWN_V7_HH,REF_AREA=WXOECD,INCOME_GROUP=INCOME_HH+INCOME2_HH+INCOME_HH_IND+INCOME2_HH_IND NOT_DISPLAYED MEASURE=C5B_I,TIME_PERIOD_START=2012,SEX=_T,EDUCATION_LEVEL=_T,AGE=Y16T74,INCOME_GROUP=_T,EMP_STATUS=_T DEFAULT AGE:OECD.STI.DEP:HCL_AGE(1.0).H,SEX:OECD.STI.DEP:HCL_SEX(1.0).H HIER_CONTEXT COMBINED_BREAKDOWN:AGE,SEX,EDUCATION_LEVEL,INCOME_GROUP,EMP_STATUS COMBINED_CONCEPTS COMBINED_BREAKDOWN:Breakdown COMBINED_BREAKDOWN:Breakdown 10000 MAX_TABLE_DATA ICT Access and Usage by Individuals Accès et utilisation des TIC par les les ménages individus <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'>The ICT Access and Usage by Households and Individuals database provides a selection of 106 <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2e129320-56f4-4caa-9930-4dbd388fdde5">indicators</a>, based on the of <a href="https://web-archive.oecd.org/2015-10-26/376629-ICT-Model-Survey-Access-Usage-Households-Individuals.pdf">2nd revision of the OECD Model Survey on ICT Access and Usage by Households and Individuals</a>.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><strong>This dataset relates to Individuals. For Households, please refer to <a href="https://data-explorer.oecd.org/vis?lc=en&df%5bds%5d=DisseminateFinalDMZ&df%5bid%5d=DSD_ICT_HH_IND%40DF_HH&df%5bag%5d=OECD.STI.DEP&df%5bvs%5d=1.0&av=true&pd=2012%2C&dq=.A.B1_HH.._T...._T.&ly%5brw%5d=REF_AREA&ly%5bcl%5d=TIME_PERIOD&to%5bTIME_PERIOD%5d=false&vw=ov">ICT Access and Usage by Households</a>. In each of the datasets, only a limited combination of breakdowns is available.</strong></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><br>&nbsp; The selected indicators originate from two sources:</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><br>&nbsp; 1. An OECD data collection on the following OECD and accession countries or key partners: Australia, Brazil, Canada, Costa Rica, Chile, Colombia, Israel, Japan, Korea, Mexico, New Zealand, Switzerland, and the United States. Data collection methodology followed by these countries is available in each respective country metadata file.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><br>2. <a href="http://ec.europa.eu/eurostat/c/portal/layout?p_l_id=725143&p_v_l_s_g_id=0">Eurostat Statistics on Households and Individuals</a> for the OECD countries that are part of the European Statistical system. For those countries, indicators shown in this database refer to the original indicator as published by EUROSTAT -see the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=55ac7145-69b6-4671-8aec-e2c64884c2ef">correspondence table</a>-. Please refer to <a href="http://ec.europa.eu/eurostat/web/digital-economy-and-society/methodology">Eurostat methodology</a> to access the methodological information.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'><br>&nbsp;For all countries, breakdowns used correspond to those of EUROSTAT, unless otherwise stated in the metadata.</p> NonProductionDataflow true MEASURE=ID64 DEFAULT Going Digital Toolkit - Data for the hero visualisation and country pages Boîte à outils sur la transformation numérique - données pour la visualisation principale et les pages des pays NonProductionDataflow true Going Digital Toolkit - Data for the breakdown visualisations - part 10 Boîte à outils sur la transformation numérique - partie 10 NonProductionDataflow true Going Digital Toolkit - Data for the breakdown visualisations - part 11 Boîte à outils sur la transformation numérique - partie 11 NonProductionDataflow true Going Digital Toolkit - Data for the breakdown visualisations - part 12 Boîte à outils sur la transformation numérique - partie 12 NonProductionDataflow true Going Digital Toolkit - Data for the breakdown visualisations - part 13 Boîte à outils sur la transformation numérique - partie 13 NonProductionDataflow true Going Digital Toolkit - Data for the breakdown visualisations - part 1 Boîte à outils sur la transformation numérique - partie 1 NonProductionDataflow true Going Digital Toolkit - Data for the breakdown visualisations - part 2 Boîte à outils sur la transformation numérique - partie 2 NonProductionDataflow true Going Digital Toolkit - Data for the breakdown visualisations - part 3 Boîte à outils sur la transformation numérique - partie 3 NonProductionDataflow true Going Digital Toolkit - Data for the breakdown visualisations - part 4 Boîte à outils sur la transformation numérique - partie 4 NonProductionDataflow true Going Digital Toolkit - Data for the breakdown visualisations - part 5 Boîte à outils sur la transformation numérique - partie 5 NonProductionDataflow true Going Digital Toolkit - Data for the breakdown visualisations - part 6 Boîte à outils sur la transformation numérique - partie 6 NonProductionDataflow true Going Digital Toolkit - Data for the breakdown visualisations - part 7 Boîte à outils sur la transformation numérique - partie 7 NonProductionDataflow true Going Digital Toolkit - Data for the breakdown visualisations - part 8 Boîte à outils sur la transformation numérique - partie 8 NonProductionDataflow true Going Digital Toolkit - Data for the breakdown visualisations - part 9 Boîte à outils sur la transformation numérique - partie 9 NonProductionDataflow true Going Digital Toolkit Data Kitchen - Data for the National Digital Strategy Comprehensiveness Boîte à outils sur la transformation numérique Data Kitchen - Exhaustivité de la stratégie numérique nationale NonProductionDataflow true Truth Quest - Survey data Truth Quest - Survey data ACTIVITY LAYOUT_ROW FINAL_DEMAND_CATEGORY LAYOUT_COLUMN MEASURE,FINAL_DEMAND_AREA,TIME_PERIOD LAYOUT_ROW_SECTION FREQ=A NOT_DISPLAYED MEASURE=FD_GHG_EXPD,FINAL_DEMAND_AREA=FRA,TIME_PERIOD_START=2020 DEFAULT UNIT_MEASURE UNIT_MEASURE_CONCEPTS FINAL_DEMAND_AREA:OECD.STI.PIE:HCL_ICIO_GHG_AREA(1.0).H,ACTIVITY:OECD.STI.PIE:HCL_ICIO_GHG_ACTIVITY(1.0).H HIER_CONTEXT EXT_RESOURCE GHG by expenditure categories-RData-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1b726ea2-b669-4b92-933a-e754bb9ad7c2 GES par catégorie des dépenses-RData-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1b726ea2-b669-4b92-933a-e754bb9ad7c2 EXT_RESOURCE GHG by expenditure categories-csv-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ec03a653-caf6-4f71-abc6-b135f3f48f67 GES par catégorie des dépenses-csv-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ec03a653-caf6-4f71-abc6-b135f3f48f67 Greenhouse Gas Footprints (GHGFP): Emissions embodied in final demand by expenditure category Empreinte en gaz à effet de serre (EGES): Contenu en GES des catégories de la demande finale This dataset provides a breakdown of greenhouse gas emitted in response to final domestic demand for goods and services <font color="#00008B"><strong>by expenditure categories (i.e. final consumption and gross capital formation)</strong></font>. The carbon footprint includes direct emissions from households (i.e. associated with their consumption of fuels for personal vehicles and fossil fuels used for heating) as well as emissions associated with goods and services intended to satisfy final demand (i.e. emissions from domestic production and those associated with imports that can be used for final demand or economic activities, e.g. raw materials, semi-finished products).<br/><br/>• Contact: <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a> mentioning GHG Footprint in the title of your message • Friendly-url: <a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_EXPD_2023">https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_EXPD_2023</a><br/><br/><strong><em>Related datasets</em></strong><br/><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_MAIN_2023">GHG emissions Principal footprint indicators</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_ORGN_2023">Origin of GHG emissions embodied in final demand</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_TRADE_2023">GHG emissions embodied in bilateral trade</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_SCOPE_2023">GHG emissions embodied in production by scope</a></font> Cet ensemble de données fournit une décomposition des gaz à effet de serre induits par la demande finale intérieure en biens et services, ventilés selon <font color="#00008B"><strong>les postes de dépenses (i.e. consommation finale et formation brute de capital)</strong></font>. L'empreinte carbone inclut les émissions directes des ménages (i.e. associées à leur consommation de carburants pour véhicules personnels et de combustibles fossiles utilisés pour leur chauffage) ainsi que les émissions associées aux biens et services destinés à satisfaire la demande finale (i.e. les émissions de la production intérieure et celles associées aux importations peuvent servir à la demande finale ou aux activités économiques, e.g. matières premières, produits semi-finis).<br/><br/>• Contact: <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a> préciser GHG Footprint dans le titre du message • URL simplifiée: <a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_EXPD_2023">https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_EXPD_2023</a><br/><br/><strong><em>Données connexes</em></strong><br/><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_MAIN_2023">Émissions des GES Principaux indicateurs de l'empreinte</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_ORGN_2023">Origine du contenu en GES de la demande finale</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_TRADE_2023">Contenu en GES des échanges bilatéraux</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_SCOPE_2023">Périmètres des émissions de GES induites par la production</a></font> REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN TIME_PERIOD,ACTIVITY LAYOUT_ROW_SECTION FREQ,UNIT_MULT=0 NOT_DISPLAYED ACTIVITY=_T,TIME_PERIOD_START=2020,UNIT_MEASURE=T_CO2E DEFAULT REF_AREA:OECD.STI.PIE:HCL_ICIO_GHG_AREA(1.0).H,ACTIVITY:OECD.STI.PIE:HCL_ICIO_GHG_ACTIVITY(1.0).H HIER_CONTEXT EXT_RESOURCE GHG Footprint-RData-zip-Kton-CO2e|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d0c51c9c-aac2-4e68-b47a-e3dbe88c1453 Empreinte GES-RData-zip-Kton-CO2e|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d0c51c9c-aac2-4e68-b47a-e3dbe88c1453 EXT_RESOURCE GHG Footprint-csv-zip-Mton-CO2e|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3a6f5aa9-384d-4797-a9b8-edfdfa33b15d Empreinte GES-csv-zip-Mton-CO2e|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3a6f5aa9-384d-4797-a9b8-edfdfa33b15d Greenhouse Gas Footprints (GHGFP): Principal indicators Empreinte en gaz à effet de serre (EGES): Principaux indicateurs The <font color="#00008B"><strong>Greenhouse Gas emissions Footprints Indicators</strong></font> are calculated by combining the 2023 edition of the OECD <a href="https://www.oecd.org/en/data/datasets/inter-country-input-output-tables.html">Inter-Country Input-Output (ICIO) Tables</a> and other Greenhouse Gas Emissions databases, such as Air Emissions Accounts.<br/> <br/><font color="#00008B"><strong>Production-based emissions</strong></font> are estimated according to the residence principle. They refer to the GHG emitted from the resident economic activities and households of a country. <font color="#00008B"><strong>Demand-based emissions</strong></font> encompass GHG emissions from the resident households of a country, as well as direct and indirect upstream emissions from its final expenditure of final goods and services.<br/><br/>• Contact: <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a> mentioning GHG Footprint in the title of your message • Friendly-url: <a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_MAIN_2023">https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_MAIN_2023</a><br/><br/><strong><em>Related datasets</em></strong><br/><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_ORGN_2023">Origin of GHG emissions embodied in final demand</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_EXPD_2023">GHG emissions embodied in final demand expenditures</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_TRADE_2023">GHG emissions embodied in bilateral trade</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_SCOPE_2023">GHG emissions embodied in production by scope</a></font> Les <font color="#00008B"><strong>Indicateurs de l'empreinte carbone</strong></font> sont calculés en combinant l'edition 2023 des <a href="https://www.oecd.org/en/data/datasets/inter-country-input-output-tables.html">Tableaux internationaux des entrées-sorties (TIES)</a> de l'OCDE et d'autres bases de données sur les GES, telles que les Comptes des émissions atmosphériques.<br/><br/><font color="#00008B"><strong>Les émissions induites par la production</strong></font> sont estimées selon le principe de résidence. Les GES émis sont attribués aux ménages et branches d'activité résidents d'un même pays. <font color="#00008B"><strong>Les émissions induites par la demande</strong></font> couvrent les GES émis par les ménages résidents d'un pays ainsi que les émissions, directes et indirectes, imputables à la demande intérieure finale en biens et services.<br/><br/>• Contact: <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a> préciser GHG Footprint dans le titre du message • URL simplifiée: <a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_MAIN_2023">https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_MAIN_2023</a><br/><br/><strong><em>Données connexes</em></strong><br/><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_ORGN_2023">Origine du contenu en GES de la demande finale</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_EXPD_2023">Contenu en GES des catégories de la demande finale</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_TRADE_2023">Contenu en GES des échanges bilatéraux</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_SCOPE_2023">Périmètres des émissions de GES induites par la production</a></font> FINAL_DEMAND_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,EMISSIONS_ORIGIN_AREA,EMISSIONS_ORIGIN_ACTIVITY LAYOUT_ROW_SECTION FREQ=A NOT_DISPLAYED MEASURE=FD_GHG_ORGN,EMISSIONS_ORIGIN_AREA=W,EMISSIONS_ORIGIN_ACTIVITY=_T,TIME_PERIOD_START=2015,UNIT_MEASURE=T_CO2E DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS EMISSIONS_ORIGIN_AREA:OECD.STI.PIE:HCL_ICIO_GHG_AREA(1.0).H,FINAL_DEMAND_AREA:OECD.STI.PIE:HCL_ICIO_GHG_AREA(1.0).H,EMISSIONS_ORIGIN_ACTIVITY:OECD.STI.PIE:HCL_ICIO_GHG_ACTIVITY(1.0).H HIER_CONTEXT EXT_RESOURCE GHG Origins-RData-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=15b11ff8-b68e-4f48-bd25-7a1bcc1381fb Origines des GES-RData-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=15b11ff8-b68e-4f48-bd25-7a1bcc1381fb EXT_RESOURCE GHG Origins-csv-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c027b7aa-7baa-49b3-8aab-83ab5e348fd5 Origines des GES-csv-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c027b7aa-7baa-49b3-8aab-83ab5e348fd5 Greenhouse Gas Footprints (GHGFP): Origin of emissions embodied in final demand Empreinte en gaz à effet de serre (EGES): Origine du contenu en GES de la demande finale This dataset identifies the <font color="#00008B"><strong>geographical and sectoral origins</strong></font> of greenhouse gas emitted in response to final domestic demand for goods and services. Understanding the origin of GHG emissions in final demand is crucial for designing effective climate policies and mitigation strategies.<br/><br/>• Contact: <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a> mentioning GHG Footprint in the title of your message • Friendly-url: <a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_ORGN_2023">https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_ORGN_2023</a><br/><br/><strong><em>Related datasets</em></strong><br/><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_MAIN_2023">GHG emissions Principal footprint indicators</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_EXPD_2023">GHG emissions embodied in final demand expenditures</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_TRADE_2023">GHG emissions embodied in bilateral trade</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_SCOPE_2023">GHG emissions embodied in production by scope</a></font> Cet ensemble de données permet d'identifier <font color="#00008B"><strong>l'origine géographique et sectorielle</strong></font> des gaz à effet de serre associés à la demande finale intérieure en biens et services. Il est essentiel de comprendre l'origine du contenu en GES de la demande finale afin de concevoir des politiques climatiques et des stratégies d'atténuation efficaces. <br/><br/>• Contact: <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a> préciser GHG Footprint dans le titre du message • URL simplifiée: <a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_ORGN_2023">https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_ORGN_2023</a><br/><br/><strong><em>Données connexes</em></strong><br/><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_MAIN_2023">Émissions des GES Principaux indicateurs de l'empreinte</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_EXPD_2023">Contenu en GES des catégories de la demande finale</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_TRADE_2023">Contenu en GES des échanges bilatéraux</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_SCOPE_2023">Périmètres des émissions de GES induites par la production</a></font> ACTIVITY LAYOUT_ROW EMISSIONS_SCOPE LAYOUT_COLUMN MEASURE,EMISSIONS_ORIGIN_AREA,TIME_PERIOD LAYOUT_ROW_SECTION FREQ=A NOT_DISPLAYED MEASURE=SCOPE_GHG,EMISSIONS_ORIGIN_AREA=ARG,TIME_PERIOD_START=2020 DEFAULT UNIT_MEASURE UNIT_MEASURE_CONCEPTS EMISSIONS_ORIGIN_AREA:OECD.STI.PIE:HCL_ICIO_GHG_AREA(1.0).H,ACTIVITY:OECD.STI.PIE:HCL_FLAT_ICIO_GHG_ACTIVITY(1.0).H HIER_CONTEXT EXT_RESOURCE GHG scopes-RData-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=46b3e14a-8e7c-4c3a-a52d-623c46d40e95 Périmètres des GES-RData-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=46b3e14a-8e7c-4c3a-a52d-623c46d40e95 EXT_RESOURCE GHG scopes-csv-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f76594ba-12e5-485f-847b-707a40596f6a Périmèteres des GES-csv-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f76594ba-12e5-485f-847b-707a40596f6a Greenhouse Gas Footprints (GHGFP): Emissions embodied in production by scope Empreinte en gaz à effet de serre (EGES): Périmètres des émissions de GES induites par la production This dataset introduces <font color="#00008B"><strong>greenhouse gas by scopes of emissions</strong></font> (i.e. scopes 1, 2 and 3). Measuring scopes of emissions is essential for effective climate action.<br/><br/>• Contact: <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a> mentioning GHG Footprint in the title of your message • Friendly-url: <a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_SCOPE_2023">https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_SCOPE_2023</a><br/><br/><strong><em>Related datasets</em></strong><br/><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_MAIN_2023">GHG emissions Principal footprint indicators</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_ORGN_2023">Origin of GHG emissions embodied in final demand</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_EXPD_2023">GHG emissions embodied in final demand expenditures</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_TRADE_2023">GHG emissions embodied in bilateral trade</a></font> Cet ensemble de données présente <font color="#00008B"><strong>les gaz à effet de serre ventilés par périmètre des émissions</strong></font> (i.e. périmètres 1, 2 et 3). La mesure des périmètres des émissions est essentielle pour lutter efficacement contre le changement climatique.<br/><br/>• Contact: <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a> préciser GHG Footprint dans le titre du message • URL simplifiée: <a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_SCOPE_2023">https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_SCOPE_2023</a><br/><br/><strong><em>Données connexes</em></strong><br/><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_MAIN_2023">Émissions des GES Principaux indicateurs de l'empreinte</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_ORGN_2023">Origine du contenu en GES de la demande finale</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_EXPD_2023">Contenu en GES des catégories de la demande finale</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_TRADE_2023">Contenu en GES des échanges bilatéraux</a></font> IMPORTER LAYOUT_ROW PRODUCT_CATEGORY LAYOUT_COLUMN MEASURE,EXPORTER,ACTIVITY,TIME_PERIOD LAYOUT_ROW_SECTION FREQ=A NOT_DISPLAYED MEASURE=TRADE_GHG,EXPORTER=W,ACTIVITY=_T,TIME_PERIOD_START=2020,UNIT_MEASURE=T_CO2E DEFAULT UNIT_MEASURE UNIT_MEASURE_CONCEPTS EXPORTER:OECD.STI.PIE:HCL_ICIO_GHG_AREA(1.0).H,IMPORTER:OECD.STI.PIE:HCL_ICIO_GHG_AREA(1.0).H,ACTIVITY:OECD.STI.PIE:HCL_ICIO_GHG_ACTIVITY(1.0).H HIER_CONTEXT EXT_RESOURCE GHG in Trade-RData-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=86fdb09f-5649-4283-9d57-20a2b93c4df0 Contenu en GES des échanges commerciaux-RData-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=86fdb09f-5649-4283-9d57-20a2b93c4df0 EXT_RESOURCE GHG in Trade-csv-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=62fa099b-5e6a-4775-b214-4c7196bb4dd0 Contenu en GES des échanges commerciaux-csv-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=62fa099b-5e6a-4775-b214-4c7196bb4dd0 Greenhouse Gas Footprints (GHGFP): Emissions embodied in bilateral trade Empreinte en gaz à effet de serre (EGES): Contenu en GES des échanges bilatéraux International trade can lead to a redistribution of GHG emissions between producer and consumer countries. For example, an economy can externalize its emissions by importing goods produced in countries with lower environmental standards. <font color="#00008B"><strong>Greenhouse gas (GHG) emissions embodied in international trade</strong></font> are those generated during the production, transportation, and delivery of internationally traded goods and services (i.e. the lifecycle of products). These estimates can be significant as they reflect the full carbon footprint of traded products. They can provide useful orientations for effective climate policy and environmental regulations.<br/><br/>• Contact: <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a> mentioning GHG Footprint in the title of your message • Friendly-url: <a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_TRADE_2023">https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_TRADE_2023</a><br/><br/><strong><em>Related datasets</em></strong><br/><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_MAIN_2023">GHG emissions Principal footprint indicators</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_ORGN_2023">Origin of GHG emissions embodied in final demand</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_EXPD_2023">GHG emissions embodied in final demand expenditures</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?tm=DF_ICIO_GHG_SCOPE_2023">GHG emissions embodied in production by scope</a></font> Le commerce international peut entraîner une redistribution des émissions de GES entre les pays producteurs et les pays consommateurs. Par exemple, une économie peut externaliser ses émissions en important des biens fabriqués dans des pays où les normes environnementales sont moins strictes. <font color="#00008B"><strong>Le contenu en émissions de gaz à effet de serre (GES) du commerce international</strong></font> désigne les gaz émis lors de la production de biens et services qui sont échangés entre pays. Ces émissions couvrent l'ensemble du cycle de vie des produits, depuis l'extraction des matières premières nécessaires à leur production, en passant par leur transport et leur distribution, jusqu'à leur consommation finale. Ces estimations sont non négligeables car elles reflètent l'empreinte carbone complète des produits échangés. Elles donnent ainsi des indications utiles pour une politique climatique efficace et une réglementation sur l'environnement.<br/><br/>• Contact: <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a> préciser GHG Footprint dans le titre du message • URL simplifiée: <a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_TRADE_2023">https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_TRADE_2023</a><br/><br/><strong><em>Données connexes</em></strong><br/><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_MAIN_2023">Émissions des GES Principaux indicateurs de l'empreinte</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_ORGN_2023">Origine du contenu en GES de la demande finale</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_EXPD_2023">Contenu en GES des catégories de la demande finale</a></font><br/>• <font color="#00008B"><a href="https://data-explorer.oecd.org/?lc=fr&tm=DF_ICIO_GHG_SCOPE_2023">Périmètres des émissions de GES induites par la production</a></font> NonProductionDataflow true INDUSTRIAL_INSTRUMENT,INSTRUMENT_TYPE,SECTORAL,ACTIVITY,GREEN,TECH_FOCUSED,RD,SME,JOBS_SKILLS,DIGITAL,ENERGY_COST,INVESTMENT,REGIONAL,EXPORT_FINANCE,COVID_SUPPORT,EU_SUPPORT LAYOUT_ROW TIME_PERIOD,UNIT_MEASURE LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0 NOT_DISPLAYED REF_AREA=CAN DEFAULT 8000 MAX_TABLE_DATA QuIS Industrial policy financial instruments QuIS Instruments financiers de la politique industrielle The QuIS database gathers data on industrial policy expenditures at the policy instrument level categorised by instrument type and target. Industrial policy expenditures are defined as direct support extended by the public sector to businesses, aimed at promoting investment, improving competitiveness, or supporting economic development. The targets are the following: 'Digital', 'Green', 'Sectoral', 'Technology', 'SMEs and young firms' , 'R&D', 'Jobs/skills', 'Energy cost', 'Investment' and 'Regional'. The targets are not mutually exclusive. In addition, instruments belonging to the following categories: COVID emergency support, EU support or export finance, are flagged as such. Financial instruments, defined as the provision of loans, loan guarantees or equity investments by government entities, are measured through the so-called notional amounts method, which measures the amount of financing (or guarantees) provided by public entities. This measure was chosen as it is the most widely available across countries. However, amounts obtained with this method are not directly comparable with grants and tax expenditures, so the two types of instruments are recorded and analysed separately. The QuIS webpage summarises the key findings of the first cross-country report and provides country notes and factsheets. Link: <a href="https://www.oecd.org/industry/industrial-policy-and-strategies/quantifying-industrial-strategies/"><b>oe.cd/quis</b></a>. Definitions and details of the methodology can be found in the paper 'Quantifying industrial strategies (QuIS)'. Link:<a href="https://www.oecd-ilibrary.org/science-and-technology/quantifying-industrial-strategies-quis_ae351abf-en"><b>Quantifying industrial strategies (QuIS)</b></a>. La base de données QuIS rassemble des données sur les dépenses de politique industrielle au niveau des instruments de politique, classées par type d'instrument et par objectif. Les dépenses de politique industrielle sont définies comme un soutien direct apporté par le secteur public aux entreprises, visant à promouvoir l'investissement, à améliorer la compétitivité ou à soutenir le développement économique. Les objectifs sont les suivants : 'Digital', 'Green', 'Sectoral', 'Technology', 'SMEs and young firms' , 'R&D', 'Jobs/skills', 'Energy cost', 'Investment' and 'Regional'. Les objectifs ne s'excluent pas mutuellement. En outre, les instruments appartenant aux catégories suivantes : aide d'urgence COVID, aide de l'UE ou export finance, sont signalés comme tels. Les instruments financiers, définis comme l'octroi de prêts, de garanties de prêts ou d'investissements en actions par des entités gouvernementales, sont mesurés par la méthode dite des montants notionnels, qui mesure le montant du financement (ou des garanties) fourni par les entités publiques. Cette mesure a été choisie car elle est la plus largement disponible dans les pays. Toutefois, les montants obtenus avec cette méthode ne sont pas directement comparables aux subventions et aux dépenses fiscales, de sorte que les deux types d'instruments sont enregistrés et analysés séparément. La page Web QuIS résume les principales conclusions du premier rapport transfrontalier et fournit des notes et des fiches d'information par pays. Lien : <a href="https://www.oecd.org/industry/industrial-policy-and-strategies/quantifying-industrial-strategies/"><b>oe.cd/quis</b></a>. Les définitions et les détails de la méthodologie sont disponibles dans le document « Quantifying industrial strategies (QuIS) ». Lien :<a href="https://www.oecd-ilibrary.org/science-and-technology/quantifying-industrial-strategies-quis_ae351abf-en"><b>Quantifying industrial strategies (QuIS)</b></a>. NonProductionDataflow true INDUSTRIAL_INSTRUMENT,INSTRUMENT_TYPE,SECTORAL,ACTIVITY,GREEN,TECH_FOCUSED,RD,SME,JOBS_SKILLS,DIGITAL,ENERGY_COST,INVESTMENT,REGIONAL,EXPORT_FINANCE,COVID_SUPPORT,EU_SUPPORT LAYOUT_ROW TIME_PERIOD,UNIT_MEASURE LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0 NOT_DISPLAYED REF_AREA=CAN DEFAULT 16000 MAX_TABLE_DATA QuIS Industrial policy grants and tax expenditures QuIS Subventions et dépenses fiscales de la politique industrielle The QuIS database gathers data on industrial policy expenditures at the policy instrument level categorised by instrument type and target. Industrial policy expenditures are defined as direct support extended by the public sector to businesses, aimed at promoting investment, improving competitiveness, or supporting economic development. The targets are the following: 'Digital', 'Green', 'Sectoral', 'Technology', 'SMEs and young firms' , 'R&D', 'Jobs/skills', 'Energy cost', 'Investment' and 'Regional'. The targets are not mutually exclusive. In addition, instruments belonging to the following categories: COVID emergency support or EU support, are flagged as such. The QuIS webpage summarises the key findings of the first cross-country report and provides country notes and factsheets. Link: <a href="https://www.oecd.org/industry/industrial-policy-and-strategies/quantifying-industrial-strategies/"><b>oe.cd/quis</b></a>. Definitions and details of the methodology can be found in the paper 'Quantifying industrial strategies (QuIS)'. Link: <a href="https://www.oecd-ilibrary.org/science-and-technology/quantifying-industrial-strategies-quis_ae351abf-en"><b>Quantifying industrial strategies (QuIS)</b></a>. La base de données QuIS rassemble des données sur les dépenses de politique industrielle au niveau des instruments de politique, classées par type d'instrument et par objectif. Les dépenses de politique industrielle sont définies comme un soutien direct apporté par le secteur public aux entreprises, visant à promouvoir l'investissement, à améliorer la compétitivité ou à soutenir le développement économique. Les objectifs sont les suivants : 'Digital', 'Green', 'Sectoral', 'Technology', 'SMEs and young firms' , 'R&D', 'Jobs/skills', 'Energy cost', 'Investment' and 'Regional'. Les objectifs ne s'excluent pas mutuellement. En outre, les instruments appartenant aux catégories suivantes : aide d'urgence COVID ou aide de l'UE, sont signalés comme tels. La page Web QuIS résume les principales conclusions du premier rapport transnational et fournit des notes et des fiches d'information par pays. Lien : <a href="https://www.oecd.org/industry/industrial-policy-and-strategies/quantifying-industrial-strategies/"><b>oe.cd/quis</b></a>. Les définitions et les détails de la méthodologie sont disponibles dans le document « Quantifying industrial strategies (QuIS) ». Lien : <a href="https://www.oecd-ilibrary.org/science-and-technology/quantifying-industrial-strategies-quis_ae351abf-fr"><b>Quantifying industrial strategies (QuIS)</b></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,PATENT_AUTHORITIES,MEASURE,UNIT_MEASURE,AGENT_ROLE,DATE_TYPE LAYOUT_COLUMN WIPO,OECD_TECHNOLOGY_PATENT LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,OBS_VALUE,DECIMALS,UNIT_MULT,WIPO=_Z,OECD_TECHNOLOGY_PATENT=_Z NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2021,AGENT_ROLE=INVENTOR,DATE_TYPE=PRIORITY,OECD_TECHNOLOGY_PATENT=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Patents by technology Brevets par technologie Patent counts (including total patents, estimated total patents for latest years): EPO, USPTO, PCT and Patent Families indicators are presented for technology domains defined by the OECD or by WIPO Décomptes de brevets par technologie (dont le total et le total estimé pour les années récentes) : brevets de l'OEB, de l'USPTO, PCT, et familles de brevets sont présentés par domaines technologiques définis par l'OCDE ou par l'OMPI NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,PATENT_AUTHORITIES,MEASURE,UNIT_MEASURE,DATE_TYPE LAYOUT_COLUMN PARTNER_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,OBS_VALUE,DECIMALS,UNIT_MULT,WIPO=_Z,OECD_TECHNOLOGY_PATENT=_Z NOT_DISPLAYED DATE_TYPE=PRIORITY,PATENT_AUTHORITIES=6F0,REF_AREA=AUS,TIME_PERIOD_START=2019,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée PARTNER_AREA:OECD.STI.PIE:HCL_AREA_PATENTS(1.0).H HIER_CONTEXT Patents with foreign co-inventors Brevets incluant des co-inventeurs étrangers Co-inventions represent international collaboration in the inventive process. Les co-inventions montrent la collaboration internationale dans les processus d'invention. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,PATENT_AUTHORITIES,MEASURE,UNIT_MEASURE,DATE_TYPE LAYOUT_COLUMN PARTNER_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,OBS_VALUE,DECIMALS,UNIT_MULT,WIPO=_Z,OECD_TECHNOLOGY_PATENT=_Z NOT_DISPLAYED DATE_TYPE=PRIORITY,PATENT_AUTHORITIES=6F0,REF_AREA=AUS,TIME_PERIOD_START=2019,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée PARTNER_AREA:OECD.STI.PIE:HCL_AREA_PATENTS(1.0).H HIER_CONTEXT Domestic ownership of inventions made abroad Propriété domestique d'inventions faites à l'étranger Cross-border ownership of patents reflects international flows of knowledge from the inventor country to the applicant countries and international flows of funds for research (multinational companies). La propriété transfrontalière des brevets reflète les flux internationaux de connaissance entre pays inventeurs et pays déposants ainsi que les flux internationaux de fonds pour la recherche (entreprises multinationales) NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,PATENT_AUTHORITIES,MEASURE,UNIT_MEASURE,AGENT_ROLE,DATE_TYPE LAYOUT_COLUMN OECD_TECHNOLOGY_PATENT LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,OBS_VALUE,DECIMALS,UNIT_MULT,WIPO=_Z,OECD_TECHNOLOGY_PATENT=_Z NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2021,AGENT_ROLE=INVENTOR,DATE_TYPE=PRIORITY,OECD_TECHNOLOGY_PATENT=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Environment-related technologies patents Brevets relatifs aux technologies de l'environnement To identify patents in environment-related technologies (ENV-TECH), detailed search strategies have been developed drawing on more than 200,000 classification symbols. The search strategies encompass a broad spectrum of technologies related to environmental pollution, water scarcity, climate change mitigation. Afin d'identifier les brevets de technologies liées à l'environnement (ENV-TECH), des stratégies de recherches approfondies ont été développées à partir de plus de 200,000 symboles de classification. Ces stratégies de recherche couvrent un large spectre de technologies telles la pollution environnementale, la raréfaction de l'eau ou l'atténuation du changement climatique NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,PATENT_AUTHORITIES,MEASURE,UNIT_MEASURE,DATE_TYPE LAYOUT_COLUMN PARTNER_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,OBS_VALUE,DECIMALS,UNIT_MULT,WIPO=_Z,OECD_TECHNOLOGY_PATENT=_Z NOT_DISPLAYED DATE_TYPE=PRIORITY,PATENT_AUTHORITIES=6F0,REF_AREA=AUS,TIME_PERIOD_START=2019,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée PARTNER_AREA:OECD.STI.PIE:HCL_AREA_PATENTS(1.0).H HIER_CONTEXT Foreign ownership of domestic inventions Propriété étrangère d'inventions domestiques Cross-border ownership of patents reflects international flows of knowledge from the inventor country to the applicant countries and international flows of funds for research (multinational companies). La propriété transfrontalière des brevets reflète les flux internationaux de connaissance entre pays inventeurs et pays déposants ainsi que les flux internationaux de fonds pour la recherche (entreprises multinationales) NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,PATENT_AUTHORITIES,MEASURE,UNIT_MEASURE,COOPERATION_TYPE LAYOUT_COLUMN PARTNER_AREA,DATE_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,OBS_VALUE,DECIMALS,UNIT_MULT,WIPO=_Z,OECD_TECHNOLOGY_PATENT=_Z NOT_DISPLAYED DATE_TYPE=PRIORITY,PATENT_AUTHORITIES=6F0,REF_AREA=AUS,TIME_PERIOD_START=2019,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée PARTNER_AREA:OECD.STI.PIE:HCL_AREA_PATENTS(1.0).H HIER_CONTEXT Indicators of international co-operation Indicateurs de coopération internationale Indicators based on EPO, USPTO and PCT data. Cross-border ownership of patents reflects international flows of knowledge from the inventor country to the applicant countries and international flows of funds for research (multinational companies). Co-inventions represent the international collaboration in the inventive process. Indicateurs basés sur les données OEB, USPTO et PCT. La propriété transfrontalière des brevets reflète les flux internationaux de connaissance entre pays inventeurs et pays déposants ainsi que les flux internationaux de fonds pour la recherche (entreprises multinationales). Les co-inventions montrent la collaboration internationale dans les processus d'invention. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,PATENT_AUTHORITIES,MEASURE,UNIT_MEASURE,AGENT_ROLE,DATE_TYPE LAYOUT_COLUMN OECD_TECHNOLOGY_PATENT LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,OBS_VALUE,DECIMALS,UNIT_MULT,WIPO=_Z,OECD_TECHNOLOGY_PATENT=_Z NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2021,AGENT_ROLE=INVENTOR,DATE_TYPE=PRIORITY,OECD_TECHNOLOGY_PATENT=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Patents in OECD selected technologies Brevets pour certaines technologies OCDE Patent counts by technology (including total patents, estimated total patents for latest years): EPO, USPTO, PCT and Patent Families indicators are presented for selected technology domains such as ICT, Artificial Intelligence, nanotechnology, biotechnology as well as environment-related and health-related technologies. Décomptes de brevets par technologie (dont le total et le total estimé pour les années récentes) : brevets de l'OEB, de l'USPTO, PCT, et familles de brevets sont présentés par domaines technologiques définis par l'OCDE tels que les TIC, l'Intelligence Artificielle, les nanotechnologies, les biotechnologies mais également les technologies liées à l'environnement ou à la santé NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,PATENT_AUTHORITIES,MEASURE,UNIT_MEASURE,AGENT_ROLE,DATE_TYPE LAYOUT_COLUMN WIPO LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,OBS_VALUE,DECIMALS,UNIT_MULT,WIPO=_Z,OECD_TECHNOLOGY_PATENT=_Z NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2021,AGENT_ROLE=INVENTOR,DATE_TYPE=PRIORITY,WIPO=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Patents by WIPO technology domains Brevets par domaines technologiques de l'OMPI Patent counts by technology domains developed by the World Intellectual Property Organisation (WIPO) Décomptes de brevets pour les domaines technologiques définis par l'Organisation Mondiale de la Propriété Intellectuelle (OMPI) NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE LAYOUT_ROW_SECTION OBS_STATUS,EST_METHOD LAYOUT_FLAG FREQ=A,OBS_STATUS=A,PRICE_BASE=_Z,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=DEU,TIME_PERIOD_START=2015,MEASURE=B1G,PRICE_BASE=V,UNIT_MEASURE=XDC DEFAULT REF_AREA:OECD.STI.PIE:HCL_STAN_AREA(1.0).H,ACTIVITY:OECD.STI.PIE:HCL_STAN_ACTIVITY(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:PRICE_BASE,BASE_PER,UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée STAN Database for Structural Analysis Base de données STAN pour l'Analyse Structurelle <font color="#00008B"><strong>An updated version of this database is now available in <a href="https://data-explorer.oecd.org/vis?snb=1&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_STAN%40DF_STAN_2025&df[ag]=OECD.STI.PIE&df[vs]=1.0&dq=A.CZE..B1G.V.XDC&pd=2015%2C&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=ACTIVITY&lc=en&pg=0">STAN 2025 edition</a>.</strong></font><br/><br/>STAN is a comprehensive tool for analysing industrial performance at a relatively detailed level of activity across countries. It includes annual measures of output, value added and its components, labour input, investment and capital stock thus allowing to construct indicators which focus on productivity growth, competitiveness and general structural change.<br/><br/>STAN is primarily based on Member countries' Annual National Accounts by economic activity tables compiled according to the recommendations of System of National Accounts 2008 (SNA 2008). Previous versions of STAN (from 2000) were based on SNA93 statistics. Missing data are estimated using other sources such as national industrial surveys/censuses. Time series are extended back to the 1970's where possible. This is done using vintage SNA93 or STAN estimates. In STAN, many data points are Secretariat's estimates and are flagged to the attention of users; as such, they do not represent official Member countries' submissions.<br/><br/>STAN industry list is based on the International Standard Industrial Classification of all economic activities, Revision 4 (<a href="https://unstats.un.org/unsd/publication/SeriesM/seriesm_4rev4e.pdf">ISIC Rev. 4</a>). Earlier versions of STAN were based on ISIC Rev. 3 and, prior to 2000, ISIC Rev. 2 (the latter covering the manufacturing industries only). The industries covered in STAN provide sufficient detail to highlight technology and digital-intensive sectors.<br/><br/> • <font color="#00008B"><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=23bb14ce-7740-4a7d-a9c2-f1d17dd769c5">Structure</a></font><br/> • <font color="#00008B"><a href="https://www.oecd.org/en/publications/the-oecd-stan-database-for-industrial-analysis_ece98fd3-en.html">Documentation</a></font><br/> • <font color="#00008B"><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=72cf67c9-940f-4ee1-9d6f-e1472d249eab">Coverage</a></font><br/><br/>Please send comments or questions directly to <a href="mailto:stan.contact@oecd.org">stan.contact@oecd.org</a> <font color="#00008B"><strong>Une version actualisée de cette base de données est désormais disponible dans <a href="https://data-explorer.oecd.org/vis?snb=1&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_STAN%40DF_STAN_2025&df[ag]=OECD.STI.PIE&df[vs]=1.0&dq=A.CZE..B1G.V.XDC&pd=2015%2C&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rw]=ACTIVITY&lc=fr&pg=0">STAN édition 2025</a>.</strong></font> <br/><br/>Les informations contenues dans STAN permettent d'étudier les performances industrielles des branches d'activité et d'établir une variété d'indicateurs ayant trait à la croissance de la productivité, la compétitivité et les changements structurels d'ordre général. La base comprend des mesures annuelles sur la production, la valeur ajoutée et ses composantes, la main-d'oeuvre, l'investissement et le stock de capital. <br/><br/>STAN repose avant tout sur les tableaux par activité économique des Comptes Nationaux annuels des pays Membres, conformes aux recommandations du Système des Comptes Nationaux 2008 (SCN 2008). Les versions antérieures de STAN étaient fondées sur les statistiques du SCN93. Les données manquantes détaillées sont estimées à partir de sources de données supplémentaires, notamment les recensements ou les enquêtes nationales menées auprès des entreprises. Les séries temporelles sont prolongées historiquement, si possible jusque dans les années 70, en utilisant d'anciennes estimations établies à partir du SCN93 ou encore d'anciennes versions de la base. Dans STAN, bon nombre de données correspondent à des estimations et sont signalées comme telles aux utilisateurs; ces dernières ne constituent en aucun cas les chiffres officiels des pays Membres. <br/><br/>La liste des branches est fondée sur la Révision 4 de la Classification Internationale Type par Industrie de toutes les branches d'activités économiques (<a href="https://unstats.un.org/unsd/publication/SeriesM/seriesm_4rev4f.pdf">CITI Rév. 4</a>). Le détail sectoriel permet d'analyser l'intensité technologique ou numérique des branches et d'établir des comparaisons internationales. Les anciennes versions de la base s'appuyaient sur la CITI Rév. 3 et, avant l'année 2000, sur la CITI Rév. 2 (cette dernière ne couvrait alors que les industries de fabrication). <br/><br/> • <font color="#00008B"><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=23bb14ce-7740-4a7d-a9c2-f1d17dd769c5">Structure</a></font><br/> • <font color="#00008B"><a href="https://www.oecd.org/en/publications/the-oecd-stan-database-for-industrial-analysis_ece98fd3-en.html">Documentation</a></font><br/> • <font color="#00008B"><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=72cf67c9-940f-4ee1-9d6f-e1472d249eab">Couverture</a></font><br/><br/>Les utilisateurs peuvent adresser leurs commentaires ou suggestions directement à <a href="mailto:stan.contact@oecd.org">stan.contact@oecd.org</a> NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE LAYOUT_ROW_SECTION OBS_STATUS,EST_METHOD LAYOUT_FLAG FREQ=A,OBS_STATUS=A,PRICE_BASE=_Z,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=CZE,TIME_PERIOD_START=2015,MEASURE=B1G,PRICE_BASE=V,UNIT_MEASURE=XDC DEFAULT REF_AREA:OECD.STI.PIE:HCL_STAN_AREA(1.0).H,ACTIVITY:OECD.STI.PIE:HCL_STAN_ACTIVITY(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:PRICE_BASE,BASE_PER,UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Base de données STAN pour l'Analyse Structurelle, édition 2025 STAN Database for Structural Analysis, 2025 edition <font color="#00008B"><strong>New version of STAN database</strong></font><br/><br/>STAN is primarily based on Member countries' <a href="https://www.oecd.org/en/data/datasets/gdp-and-non-financial-accounts.html">Annual National Accounts</a> by economic activity tables, compiled according to the recommendations of System of National Accounts 2008 (SNA 2008). The database provides annual measures of output, value added and its components, labour input, investment and capital stock at a relatively detailed level of activity across countries. Previous versions of STAN (from 2000) were based on SNA93 statistics. Missing data are estimated using other sources such as <a href="https://data-explorer.oecd.org/vis?tm=sdbs&pg=0&snb=32&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&pd=2018%2C&to[TIME_PERIOD]=false">national industrial surveys/censuses</a>. Time series are extended back to the 1970's where possible. This is done using vintage SNA93 or STAN estimates. In STAN, many data points are Secretariat's estimates and are flagged to the attention of users; as such, they do not represent official Member countries' submissions.<br/><br/>STAN industry list is based on the International Standard Industrial Classification of all economic activities, Revision 4 (<a href="https://unstats.un.org/unsd/publication/SeriesM/seriesm_4rev4e.pdf">ISIC Rev. 4</a>) and covers sufficient detail to highlight technology and digital-intensive sectors. Earlier versions of STAN were using ISIC Rev. 3 and, prior to 2000, ISIC Rev. 2 (the latter only covering the manufacturing industries). <br/><br/> • <font color="#00008B"><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=18400564-0dc7-4d32-87d7-9451ce817f0b">Structure</a></font><br/> • <font color="#00008B"><a href="https://www.oecd.org/en/publications/the-oecd-stan-database-for-industrial-analysis_ece98fd3-en.html">Documentation</a></font><br/> <br/><font color="#00008B"><strong>Note that STAN is currently published for several countries. Updates will occur progressively in 2025.</strong></font><br/><br/> Please, send comments or questions directly to <a href="mailto:stan.contact@oecd.org">stan.contact@oecd.org</a>. <font color="#00008B"><strong>Nouvelle version de la base de données STAN</strong></font>.<br/><br/>STAN repose avant tout sur les tableaux par activité économique des <a href="https://www.oecd.org/fr/data/datasets/gdp-and-non-financial-accounts.html">Comptes Nationaux</a> annuels des pays Membres, conformes aux recommandations du Système des Comptes Nationaux 2008 (SCN 2008). Cet ensemble de données comprend des mesures annuelles sur la production, la valeur ajoutée et ses composantes, la main-d'oeuvre, l'investissement et le stock de capital à un niveau relativement détaillé des branches d'activité. Les versions antérieures de STAN étaient fondées sur les statistiques du SCN93. Les données manquantes sont estimées pour le détail des branches à partir de sources supplémentaires, notamment <a href="https://data-explorer.oecd.org/vis?pg=0&snb=32&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SDBSBSC_ISIC4%40DF_SDBS_ISIC4&df[ag]=OECD.SDD.TPS&df[vs]=1.0&dq=A..ENTR%2BTUTT.C._T%2BS1T249%2BS_GE250.&pd=2018%2C&to[TIME_PERIOD]=false&ly[cl]=TIME_PERIOD&ly[rs]=MEASURE%2CSIZE_CLASS&ly[rw]=COMBINED_UNIT_MEASURE%2CREF_AREA&lc=fr">les recensements ou enquêtes nationales</a> menées auprès des entreprises. Les séries temporelles sont prolongées historiquement, si possible jusque dans les années 70, en utilisant d'anciennes estimations établies à partir du SCN93 ou encore d'anciennes versions de la base STAN. Dans STAN, certaines données correspondent à des estimations et sont signalées comme telles aux utilisateurs; ces dernières ne constituent en aucun cas les chiffres officiels des pays Membres. <br/><br/>La liste des branches est fondée sur la Révision 4 de la Classification Internationale Type par Industrie de toutes les branches d'activités économiques (<a href="https://unstats.un.org/unsd/publication/SeriesM/seriesm_4rev4f.pdf">CITI Rév. 4</a>). Le détail sectoriel permet d'analyser l'intensité technologique ou numérique des branches et d'établir des comparaisons internationales. Les anciennes versions de la base s'appuyaient sur la CITI Rév. 3 et, avant l'année 2000, sur la CITI Rév. 2 (cette dernière ne couvrait alors que les industries de fabrication). <br/><br/> • <font color="#00008B"><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=18400564-0dc7-4d32-87d7-9451ce817f0b">Structure</a></font><br/> • <font color="#00008B"><a href="https://www.oecd.org/en/publications/the-oecd-stan-database-for-industrial-analysis_ece98fd3-en.html">Documentation</a></font><br/><br/><font color="#00008B"><strong>A noter que cette version actualisée de STAN ne comprend qu'un certain nombre de pays. La mise à jour s'élargira progressivement aux pays restants, au cours des premiers mois de 2025.</strong></font><br/><br/>Veuillez écrire directement <a href="mailto:stan.contact@oecd.org">stan.contact@oecd.org</a>. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0 NOT_DISPLAYED CHARACTERISTIC=F,REF_AREA=AUT,COUNTERPART_AREA=W,TIME_PERIOD_START=2015,MEASURE=FFD_DEM,UNIT_MEASURE=PT_EMP DEFAULT REF_AREA:OECD.STI.PIE:HCL_TIMBC_AREA(1.0).H,COUNTERPART_AREA:OECD.STI.PIE:HCL_TIMBC_AREA(1.0).H,ACTIVITY:OECD.STI.PIE:HCL_TIMBC_ACTIVITY(1.0).H HIER_CONTEXT EXT_RESOURCE RData-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a8920d51-0dd5-4a7f-ab72-f44daf3f9afd RData-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a8920d51-0dd5-4a7f-ab72-f44daf3f9afd EXT_RESOURCE EMPN-zip-csv|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6b373a62-cfed-4c20-8842-8f822d505f5e EMPN-zip-csv|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6b373a62-cfed-4c20-8842-8f822d505f5e EXT_RESOURCE FFD-DEM-zip-csv|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6f454453-be92-49d4-b575-318965f7ce3d FFD-DEM-zip-csv|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6f454453-be92-49d4-b575-318965f7ce3d EXT_RESOURCE EXGR-zip-csv|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dbef1087-17ad-4267-a43d-233a3b1f9fb8 EXGR-zip-csv|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dbef1087-17ad-4267-a43d-233a3b1f9fb8 Contenu en emploi des échanges selon les caractéristiques de la main-d'oeuvre (TiMBC) édition 2023 Trade in employment by workforce characteristics (TiMBC) 2023 edition • Contact: <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a> • Friendly-url: <a href="https://data-explorer.oecd.org/?tm=DF_TIMBC_2023">https://data-explorer.oecd.org/?tm=DF_TIMBC_2023</a><br/><br/> <font color="#00008B"><strong>Trade in employment by characteristics</strong></font> adds a dimension to labour market indicators published in TiM database and is designed to complement OECD's <font color="#00008B"><strong>Trade in Value Added (TiVA) indicators</strong></font> (<a href="https://www.oecd.org/sti/ind/measuring-trade-in-value-added.htm">TiVA web page</a>). Estimates of employment embodied in foreign final demand (or in gross exports) can reveal the extent to which a country's workforce depends on its integration into the global economy. TiM indicators by characteristics are calculated using the OECD's <font color="#00008B"><strong>Inter-Country Input-Output (ICIO)</strong></font> Tables, (<a href="https://www.oecd.org/sti/ind/inter-country-input-output-tables.htm">ICIO web page</a>), together with recent estimates of employment by industrial activity from official sources.<br/><br/> • <a href="https://www.oecd.org/sti/ind/trade-in-employment.htm">TiM web page</a>. • TiM by characteristics [database documentation forthcoming] • <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e120642b-933b-44c0-8b8d-8b511858dc10">ReadMe TiM by characteristics</a> • Contact: <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a> • URL simplifiée: <a href="https://data-explorer.oecd.org/?tm=DF_TIMBC_2023">https://data-explorer.oecd.org/?tm=DF_TIMBC_2023</a><br/><br/> Le <font color="#00008B"><strong>contenu en emploi des échanges selon les caractéristiques de la main-d'oeuvre</strong></font> ajoute une dimension aux indicateurs du marché du travail publiés dans la base de données TiM et vient compléter les indicateurs de l'OCDE sur <font color="#00008B"><strong>les échanges en valeur ajoutée (TiVA)</strong></font> (<a href="https://www.oecd.org/sti/ind/measuring-trade-in-value-added.htm">TiVA page web</a>). Le contenu en emploi de la demande finale extérieure ou des exportations brutes illustre les effets de l'intégration dans l'économie mondiale sur la main-d'oeuvre des pays. Les indicateurs TiM selon les caractéristiques de l'emploi sont établis à partir des <font color="#00008B"><strong>Tableaux internationaux des entrées-sorties (TIES)</strong></font> de l'OCDE, (<a href="https://www.oecd.org/sti/ind/inter-country-input-output-tables.htm">TIES page web</a>) et des données d'emploi sectorielles provenant de sources officielles.<br/><br/> • <a href="https://www.oecd.org/sti/ind/trade-in-employment.htm">TiM page web</a>. • TiM selon les caractéristiques [documentation à paraître] • <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e120642b-933b-44c0-8b8d-8b511858dc10">ReadMe TiM selon les caractéristiques</a> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,TIME_PERIOD LAYOUT_COLUMN ACTIVITY LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0 NOT_DISPLAYED ACTIVITY=_T,COUNTERPART_AREA=W,TIME_PERIOD_START=2015,MEASURE=FFD_DEM,UNIT_MEASURE=PT_EMP DEFAULT REF_AREA:OECD.STI.PIE:HCL_TIM_AREA(1.0).H,COUNTERPART_AREA:OECD.STI.PIE:HCL_TIM_AREA(1.0).H,ACTIVITY:OECD.STI.PIE:HCL_TIM_ACTIVITY(1.0).H HIER_CONTEXT Trade in employment (TiM) 2021 edition Échanges en emploi (TiM) édition 2021 The <font color="#00008B"><strong>Trade in employment (TiM)</strong></font> database, see <a href="https://www.oecd.org/en/data/datasets/trade-in-employment.html">TiM web page</a>, is a collection of labour market indicators designed to provide additional insights into global production networks and supply chains, and complement <font color="#00008B"><strong>Trade in Value Added (TiVA) indicators</strong></font>, see <a href="https://www.oecd.org/en/tiva.html">TiVA web page</a>. Estimates of employment or compensation of employees embodied in foreign final demand (or in gross exports) can reveal the extent to which a country's workforce depends on its integration into the global economy.<br/><br/> TiM indicators are based on employment and compensation of employees for more than 50 economies (including all EU, OECD, G20, and most East and Southeast Asian economies), as well as region aggregates. <br/><br/>TiM is estimated using the 2021 edition of the OECD's <font color="#00008B"><strong>Inter-Country Input-Output (ICIO)</strong></font> Tables, <a href="https://www.oecd.org/sti/ind/inter-country-input-output-tables.htm">see ICIO web page</a>, together with recent estimates of employment and of employees' compensation by industrial activity from official sources. Series are available for 1995-2018 and broken down in 45 individual industries based on ISIC Rev.4.<br/><br/> • <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=bd7178f8-7993-49c9-bdfb-27d480be0911">TiM structure</a> (old versus new codes) <br/> • <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ec49312f-aed6-43c5-ba61-94808ccbafc8">Documentation</a> <br/> • <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3c5916ac-bd06-4ebc-9e24-1d8a3fdd89a4">Notes par pays</a> <br/><br/><font color="#00008B"><strong>Contact <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a></strong></font>. La base de données sur les <font color="#00008B"><strong>Échanges en emploi (TiM)</strong></font>, voir <a href="https://www.oecd.org/fr/data/datasets/trade-in-employment.html">la page web de TiM</a>, rasssemble des indicateurs du marché du travail, conçus pour fournir de plus amples informations sur l'organisation des réseaux de production mondiaux et des chaînes d'approvisionnement. Les indicateurs TiM sont <font color="#00008B"><strong>complémentaires aux indicateurs TiVA sur les échanges en valeur ajoutée</strong></font>, voir <a href="https://www.oecd.org/fr/tiva.html">la page web de TiVA</a>. Les estimations du contenu en emploi, ou en rémunération des salariés, de la demande finale extérieure (ou des exportations brutes) illustrent les effets de l'intégration à l'économie mondiale sur la main-d'oeuvre.<br/><br/> Les indicateurs TiM sont calculés à partir de l'édition 2021 des <font color="#00008B"><strong>Tableaux internationaux des Entrées-Sorties (TIES)</strong></font> de l'OCDE, voir <a href="https://www.oecd.org/fr/industrie/ind/tableaux-internationaux-entrees-sorties.htm"> la page web des TIES</a>, et se fondent sur les estimations de l'emploi et de la rémunération des salariés par branche d'activité provenant de plus de 50 économies, dont tous les pays de l'UE, de l'OCDE, du G20, la plupart des économies d'Asie orientale et du Sud-Est, et quelques régions. Les données sont disponibles pour 1995-2018, et 45 branches d'activités individuelles compatibles avec la CITI Rév.4. <br/><br/> • <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=bd7178f8-7993-49c9-bdfb-27d480be0911">Structure de TiM</a> (anciens et nouveaux codes) <br/> • <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ec49312f-aed6-43c5-ba61-94808ccbafc8">Documentation</a> <br/> • <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3c5916ac-bd06-4ebc-9e24-1d8a3fdd89a4">Notes par pays</a> <br/><br/><font color="#00008B"><strong>Contact <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a></strong></font>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,TIME_PERIOD LAYOUT_COLUMN ACTIVITY LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0 NOT_DISPLAYED ACTIVITY=_T,COUNTERPART_AREA=W,TIME_PERIOD_START=2015,MEASURE=FFD_DEM,UNIT_MEASURE=PT_EMP DEFAULT REF_AREA:OECD.STI.PIE:HCL_TIM_AREA(1.0).H,COUNTERPART_AREA:OECD.STI.PIE:HCL_TIM_AREA(1.0).H,ACTIVITY:OECD.STI.PIE:HCL_TIM_ACTIVITY(1.0).H HIER_CONTEXT EXT_RESOURCE TiM-RData-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b9b654b6-9322-42dc-a254-7998d209838c TiM-RData-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b9b654b6-9322-42dc-a254-7998d209838c EXT_RESOURCE TiM-csv-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a07170ce-422b-41e1-af01-893340b07484 TiM-csv-zip|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a07170ce-422b-41e1-af01-893340b07484 Trade in employment (TiM) 2023 edition Échanges en emploi (TiM) édition 2023 The <font color="#00008B"><strong>Trade in employment (TiM)</strong></font> database, see <a href="https://www.oecd.org/en/data/datasets/trade-in-employment.html">TiM web page</a>, is a collection of labour market indicators designed to provide additional insights into global production networks and supply chains, and complement <font color="#00008B"><strong>Trade in Value Added (TiVA) indicators</strong></font>, see <a href="https://www.oecd.org/en/tiva.html">TiVA web page</a>. Estimates of employment or compensation of employees embodied in foreign final demand (or in gross exports) can reveal the extent to which a country's workforce depends on its integration into the global economy.<br/><br/> TiM indicators are based on employment and compensation of employees for more than 50 economies (including all EU, OECD, G20 and most East and Southeast Asian economies), as well as region aggregates. <br/><br/>TiM is estimated using the 2023 edition of the OECD's <font color="#00008B"><strong>Inter-Country Input-Output (ICIO)</strong></font> Tables, <a href="https://www.oecd.org/sti/ind/inter-country-input-output-tables.htm">see ICIO web page</a>, together with recent estimates of employment and employees' compensation by industrial activity from official sources. The series are available over 1995-2020 and for 45 individual industries based on ISIC Rev.4.<br/><br/> • <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=bd7178f8-7993-49c9-bdfb-27d480be0911">TiM structure</a> (old versus new codes) <br/> • <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68e7ac91-adcd-4ea1-9e46-b9866833143b">Data sources</a> <br/> • <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1500dbb4-2fbf-4bde-9b5a-c0e998a76e4f">Documentation</a> <br/><br/><font color="#00008B"><strong>Bulk download Rdata and csv files are available in section Related files or can be downloaded from the menu</strong></font>. Contact <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a> La base de données sur les <font color="#00008B"><strong>Échanges en emploi (TiM)</strong></font>, voir <a href="https://www.oecd.org/fr/data/datasets/trade-in-employment.html">la page web de TiM</a> rasssemble des indicateurs du marché du travail, conçus pour fournir de plus amples informations sur l'organisation des réseaux de production mondiaux et des chaînes d'approvisionnement. Les indicateurs TiM sont <font color="#00008B"><strong>complémentaires aux indicateurs TiVA sur les échanges en valeur ajoutée</strong></font>, voir <a href="https://www.oecd.org/fr/tiva.html">la page web de TiVA</a>. Les estimations du contenu en emploi ou en rémunération des salariés de la demande finale extérieure (ou des exportations brutes), illustrent les effets de l'intégration à l'économie mondiale sur la main-d'oeuvre.<br/><br/> Les indicateurs TiM sont calculés à partir de l'édition 2023 des <font color="#00008B"><strong>Tableaux internationaux des Entrées-Sorties (TIES)</strong></font> de l'OCDE, voir <a href="https://www.oecd.org/fr/data/datasets/inter-country-input-output-tables.html"> la page web des TIES</a>, et se fondent sur les dernières estimations de l'emploi et de la rémunération des salariés par branche d'activité provenant de plus de 50 économies, dont tous les pays de l'UE, de l'OCDE, du G20, la plupart des économies d'Asie orientale et du Sud-Est et quelques régions. Les données sont disponibles pour la période 1995-2020 et ventilées selon 45 branches d'activités individuelles compatibles avec la CITI Rév.4. <br/><br/> • <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=bd7178f8-7993-49c9-bdfb-27d480be0911">Structure de TiM</a> (anciens et nouveaux codes)<br/> • <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=68e7ac91-adcd-4ea1-9e46-b9866833143b">Sources des données</a> <br/> • <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1500dbb4-2fbf-4bde-9b5a-c0e998a76e4f">Documentation</a> <br/><br/><font color="#00008B"><strong>Les fichiers de données, Rdata et csv, figurent dans la section Fichiers associés et sont accessibles depuis le menu Télécharger</strong></font>. Contact <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a> VALUE_ADDED_SOURCE_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ NOT_DISPLAYED VALUE_ADDED_SOURCE_ACTIVITY=_T,EXPORTING_ACTIVITY=_T,TIME_PERIOD_START=2015,EXPORTING_AREA=OECD DEFAULT VALUE_ADDED_SOURCE_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,VALUE_ADDED_SOURCE_ACTIVITY:OECD.STI.PIE:HCL_TIVA_ACTIVITY(1.0).H,EXPORTING_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,EXPORTING_ACTIVITY:OECD.STI.PIE:HCL_TIVA_ACTIVITY(1.0).H HIER_CONTEXT Trade in Value Added (TiVA) 2023 edition: Origin of value added in gross exports Échanges en Valeur Ajoutée (TiVA) édition 2023: Origine du contenu en valeur ajoutée des exportations brutes The <font color="#00008B"><strong>Origin of value added in gross exports</strong></font> is derived from the <strong><a href="http://oe.cd/icio">OECD’s Inter-Country Input-Output (ICIO) database</a></strong> and provides estimates of gross exports of goods and services by • exporting industry i in • country c , broken down by the value added originating from • source industry j in • source country/region s . In other words, it reveals how the value of a country’s gross exports of intermediate and final products is an accumulation of value generated by many industries in many countries. Domestic value added origin is shown where source country s = c and, for convenience, also represented by source country = “D: Domestic”.<br/><br/>A range of gross exports-based measures can be derived from this dataset including those published in TiVA Principal indicators.<br/><br/>For regions, exports exclude intra-regional trade and intra-regional value added flows are considered as domestic value added. For example, for exporting region EU28, exports are to non-EU28 and source country “D : domestic” includes value added originating from Member States.<br/><br/>Note that the same value added originating from industry j in country p can be present in the gross exports of more than one country c (as embodied value added, from upstream production, may cross national borders many times). In general, therefore, these estimates should be viewed from the perspective of the exporting country c and exporting industry i. However, for indicators of “GVC forward linkages”, a source country p, source industry j perspective is required. <br/><br/>The method for calculating these estimates using the ICIO is described in <strong><a href="https://web-archive.oecd.org/2023-11-24/644737-TiVA_2023_Indicators_Guide.pdf">TiVA indicators guide</a></strong> <br/><br/><font color="#00008B"><strong>Bulkdownload files are available in indicators metadata</strong></font>. <br/>Users are encouraged to send their questions, or to signal any apparent errors, regarding the TiVA database to <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a><br/><br/> <pre> • <strong><a href="https://web-archive.oecd.org/2023-11-24/644737-TiVA_2023_Indicators_Guide.pdf">TiVA 2023 Indicators Guide</a></strong> • <strong><a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c78d5ea5-5f55-4b21-ac7d-d872113e2a8f">TIVA 2023 structure and coverage</a></strong></pre> L'<font color="#00008B"><strong>Origine du contenu en valeur ajoutée des exportations brutes</strong></font> est établie à partir des <strong><a href="http://oe.cd/icio-fr">Tableaux internationaux des entrées-sorties (TIES)</a></strong> de l'OCDE. Les estimations du total des exportations brutes sont ventilées selon • les branches d'activité i de • chaque pays c et selon • l'origine sectorielle j et • géographique s de la valeur ajoutée. Cet indicateur illustre le fait qu'un territoire, en exportant des produits intermédiaires et finals, exporte en réalité une accumulation de valeur produite par une multiplicité de branches situées dans plusieurs pays. Lorsque <strong>l'origine géographique</strong> s de la valeur ajoutée et <strong>le pays exportateur</strong> c sont <strong>identiques</strong>, cela revient à considérer l'origine de <strong>la valeur ajoutée locale</strong> ; ce qui correspond simplement au code "D: Domestique" de la dimension origine géographique. <br/><br/>À partir de ces données, il est possible de calculer un certain nombre d'indicateurs relatifs aux exportations brutes, comme ceux figurant dans les Principaux indicateurs TiVA. <br/><br/>Les exportations présentées pour les régions n'incluent pas les échanges intra-régionaux et la valeur ajoutée circulant au sein de chaque région est alors considérée comme de la valeur ajoutée locale. Par exemple, pour la région exportatrice UE28, seules sont comptabilisées les exportations à destination des pays n'appartenant pas à la zone UE28 et l'origine géographique "D : domestique" comprend la valeur ajoutée provenant des États Membres.<br/><br/>A noter qu'une même valeur ajoutée, dont l'orgine sectorielle est j et l'origine géographique est p, peut se retrouver incorporée aux exportations brutes de plusieurs pays c, dès lors que cette valeur est incorporée plus en amont dans la chaîne de production et qu'elle peut donc franchir plusieurs fois les frontières nationales. C'est la raison pour laquelle il faudrait plutôt se positionner du point de vue du pays exportateur c et de la branche exportatrice i pour interpréter ces estimations. Toutefois, les indicateurs relatifs à la "participation en aval dans les CVM" doivent être interprétés du point de vue de l'origine géographique p et sectorielle j de la valeur ajoutée. <br/><br/>Le <strong><a href="https://web-archive.oecd.org/2023-11-24/644737-TiVA_2023_Indicators_Guide.pdf">guide sur les indicateurs TiVA</a></strong> décrit la méthode utilisée pour le calcul de ces estimations à partir des TIES. <br/><br/><font color="#00008B"><strong>Les fichiers pour téléchargement sont disponibles dans les métadonnées des indicateurs</strong></font>. <br/>Les utilisateurs sont invités à envoyer leurs questions, ou signaler d'éventuelles anomalies à <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a><br/><br/> <pre> • <strong><a href="https://web-archive.oecd.org/2023-11-24/644737-TiVA_2023_Indicators_Guide.pdf">TiVA 2023 Guide sur les Indicateurs</a></strong> • <strong><a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c78d5ea5-5f55-4b21-ac7d-d872113e2a8f">TIVA 2023 Structure et couverture</a></strong></pre> VALUE_ADDED_SOURCE_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ NOT_DISPLAYED VALUE_ADDED_SOURCE_ACTIVITY=_T,FINAL_DEMAND_AREA=W,FINAL_DEMAND_ACTIVITY=_T,TIME_PERIOD_START=2015 DEFAULT VALUE_ADDED_SOURCE_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,VALUE_ADDED_SOURCE_ACTIVITY:OECD.STI.PIE:HCL_TIVA_ACTIVITY(1.0).H,FINAL_DEMAND_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,FINAL_DEMAND_ACTIVITY:OECD.STI.PIE:HCL_TIVA_ACTIVITY(1.0).H HIER_CONTEXT Trade in Value Added (TiVA) 2023 edition: Origin of value added in final demand Échanges en Valeur Ajoutée (TiVA) édition 2023: Origine du contenu en valeur ajoutée de la demande finale The <font color="#00008B"><strong>Origin of value added in final demand</strong></font> is derived from the OECD’s <a href="http://oe.cd/icio">Inter-Country Input-Output (ICIO) database</a> and provides estimates of final demand in • country c for • industry i final goods and services, broken down by the value added originating from • source industry j in • source country s. In other words, it reveals how the value of final demand goods and services consumed within a country is an accumulation of value generated by many industries in many countries. Domestic value added origin is shown where source country s = c and, for convenience, also represented by source country = “D: Domestic”.<br/><br/>A range of final demand-based measures can be derived from this dataset including those published in TiVA Principal indicators.<br/><br/>The method for calculating these estimates using the ICIO is described in <strong><a href="https://web-archive.oecd.org/2023-11-24/644737-TiVA_2023_Indicators_Guide.pdf">TiVA indicators guide</a></strong>. <br/><br/><font color="#00008B"><strong>Bulkdownload files are available in indicators metadata</strong></font>. <br/>Users are encouraged to send their questions, or to signal any apparent errors, regarding the TiVA database to <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a><br/><br/> <pre> • <strong><a href="https://web-archive.oecd.org/2023-11-24/644737-TiVA_2023_Indicators_Guide.pdf">TiVA 2023 Indicators Guide</a></strong> • <strong><a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c78d5ea5-5f55-4b21-ac7d-d872113e2a8f">TIVA 2023 structure and coverage</a></strong></pre> L'<font color="#00008B"><strong>Origine du contenu en valeur ajoutée de la demande finale</strong></font> est établie à partir des <a href="http://oe.cd/icio-fr">Tableaux internationaux des entrées-sorties (TIES)</a> de l'OCDE et fournit des estimations de la demande finale • du pays c pour les biens et services finals de • la branche d'activité i, ventilée selon l'origine • sectorielle j et • géographique s de la valeur ajoutée. Cet indicateur illustre le fait qu'un territoire, pour satisfaire sa demande finale en biens et services, consomme en réalité une accumulation de valeur provenant de multiples origines géographiques et sectorielles. Lorsque <strong>l'origine géographique</strong> s de la valeur ajoutée et <strong>le pays de la demande finale</strong> c sont <strong>identiques</strong>, cela revient à considérer le contenu en <strong>valeur ajoutée locale</strong> ; ce qui correspond simplement au code "D: Domestique" de la dimension origine géographique.<br/><br/>À partir de ces données, il est possible de calculer un certain nombre d'indicateurs relatifs à la demand finale, comme ceux figurant dans les Principaux indicateurs TiVA.<br/><br/>Le <strong><a href="https://web-archive.oecd.org/2023-11-24/644737-TiVA_2023_Indicators_Guide.pdf">guide sur les indicateurs TiVA</a></strong> décrit la méthode utilisée pour le calcul de ces estimations à partir des TIES. <strong><a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c78d5ea5-5f55-4b21-ac7d-d872113e2a8f">TIVA 2023 structure et couverture</a></strong>.<br/><br/><font color="#00008B"><strong>Les fichiers pour téléchargement sont disponibles dans les métadonnées des indicateurs</strong></font>. <br/>Les utilisateurs sont invités à envoyer leurs questions, ou signaler d'éventuelles anomalies à <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a><br/><br/> <pre> • <strong><a href="https://web-archive.oecd.org/2023-11-24/644737-TiVA_2023_Indicators_Guide.pdf">TiVA 2023 Guide sur les Indicateurs</a></strong> • <strong><a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c78d5ea5-5f55-4b21-ac7d-d872113e2a8f">TIVA 2023 Structure et couverture</a></strong></pre> VALUE_ADDED_SOURCE_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ NOT_DISPLAYED IMPORTING_AREA=OECD,EXPORTING_AREA=W,EXPORTING_ACTIVITY=_T,TIME_PERIOD_START=2015 DEFAULT IMPORTING_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,VALUE_ADDED_SOURCE_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,VALUE_ADDED_SOURCE_ACTIVITY:OECD.STI.PIE:HCL_TIVA_ACTIVITY(1.0).H,EXPORTING_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,EXPORTING_ACTIVITY:OECD.STI.PIE:HCL_TIVA_ACTIVITY(1.0).H HIER_CONTEXT Trade in Value Added (TiVA) 2023 edition: Origin of value added in gross imports Échanges en Valeur Ajoutée (TiVA) édition 2023: Origine du contenu en valeur ajoutée des importations brutes The <font color="#00008B"><strong>Origin of value added in gross imports</strong></font> is derived from the <strong><a href="http://oe.cd/icio">OECD’s Inter-Country Input-Output (ICIO) database</a></strong> and provides estimates of gross imports • by country c of goods and services • from industry i • in partner country / region p • broken down by value added originating from source country / region s. <br/><br/>Those four dimensions link the • imports of country c to the • value added originating from country s and embodied in the • exports of industry i in • exporting country p. For each country, it reveals how the gross imports value of intermediate and final products, from a particular partner, is an accumulation of value generated by many countries. <br/><br/>A range of gross imports-based measures can be derived from this dataset, including those published in TiVA Principal indicators. <br/><br/>Note that the same value added originating from source country s can be present in the gross imports of more than one importing country c (as embodied value added from upstream production may cross national borders many times). Therefore, in general, these estimates should be viewed from the perspective of an importing country c.<br/><br/>The method for calculating these estimates, from the ICIO, is described in the <strong><a href="https://web-archive.oecd.org/2023-11-24/644737-TiVA_2023_Indicators_Guide.pdf">TiVA indicators guide</a></strong>. <br/><br/><font color="#00008B"><strong>Bulkdownload files are available in indicators metadata</strong></font>. <br/>Users are encouraged to send their questions, or to signal any apparent errors, regarding the TiVA database to <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a><br/><br/> <pre> • <strong><a href="https://web-archive.oecd.org/2023-11-24/644737-TiVA_2023_Indicators_Guide.pdf">TiVA 2023 Indicators Guide</a></strong> • <strong><a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c78d5ea5-5f55-4b21-ac7d-d872113e2a8f">TIVA 2023 structure and coverage</a></strong></pre> L'<font color="#00008B"><strong>Origine du contenu en valeur ajoutée des importations brutes</strong></font> est calculée à partir des <strong><a href="http://oe.cd/icio-fr">Tableaux internationaux des entrées-sorties (TIES)</a></strong> de l'OCDE et permet d'estimer : • pour chaque pays importateur c , la valeur de ses importations brutes de biens et services • ventilées selon les branches d'activité exportatrices i (i.e. origine sectorielle des produits importés) • des économies partenaires p (i.e. origine géographique des produits importés) • et selon l'origine géographique s (i.e. pays / région) de la valeur ajoutée. <br/><br/>Autrement dit, ces quatre dimensions établissent le lien entre • l'origine géographique s de la valeur ajoutée importée par • le pays c via les exportations de • l'activité économique i située dans • la zone exportatrice p. <br/><br/>Cet indicateur illustre le fait que toute économie qui importe des produits intermédiaires et finals d'un partenaire commercial, importe en réalité une accumulation de valeur générée dans bon nombre d'économies tiers. <br/><br/>Un certain nombre d'indicateurs établis à partir des données d'importations brutes peuvent être dérivés, notamment ceux présentés dans les Principaux indicateurs TiVA.<br/><br/>A noter qu'une même valeur ajoutée, dont l'origine géographique est le pays / la région s, peut se retrouver incorporée aux importations brutes de plusieurs pays importateurs c à la fois. Cela est dû au fait que la valeur, lorsqu'elle est ajoutée plus en amont dans la chaîne de production, peut franchir plusieurs fois les frontières nationales. Il est donc préférable d'interpréter ces estimations du point de vue du pays importateur c. <br/><br/>Le <strong><a href="https://web-archive.oecd.org/2023-11-24/644737-TiVA_2023_Indicators_Guide.pdf">guide sur les indicateurs TiVA</a></strong> décrit la méthode utilisée pour le calcul de ces estimations à partir des TIES. <br/><br/><font color="#00008B"><strong>Les fichiers pour téléchargement sont disponibles dans les métadonnées des indicateurs</strong></font>. <br/>Les utilisateurs sont invités à envoyer leurs questions, ou signaler d'éventuelles anomalies à <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a><br/><br/> <pre> • <strong><a href="https://web-archive.oecd.org/2023-11-24/644737-TiVA_2023_Indicators_Guide.pdf">TiVA 2023 Guide sur les Indicateurs</a></strong> • <strong><a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c78d5ea5-5f55-4b21-ac7d-d872113e2a8f">TIVA 2023 Structure et couverture</a></strong></pre> ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ NOT_DISPLAYED MEASURE=FFD_DVA,REF_AREA=AUS,COUNTERPART_AREA=W,TIME_PERIOD_START=2015 DEFAULT UNIT_MEASURE=USD UNIT_MEASURE_CONCEPTS REF_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,COUNTERPART_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,ACTIVITY:OECD.STI.PIE:HCL_TIVA_ACTIVITY(1.0).H HIER_CONTEXT 0.95 SEARCH_WEIGHT Trade in Value Added (TiVA) 2023 edition: Principal Indicators Échanges en Valeur Ajoutée (TiVA) édition 2023: Principaux indicateurs The <font color="#00008B"><strong>Trade in Value Added (TiVA)</strong></font> database is a collection of measures that can provide insights into global production networks and supply chains beyond what is possible with conventional trade statistics.TiVA Principal indicators track the origins of value added in exports, imports and final demand.<br/><br/>This edition covers <strong>76 economies</strong> (including all OECD, EU, G20 and ASEAN countries) as well as region aggregates. Indicators are available for the time-period <strong>1995-2020</strong> and detailed for <strong>45 industries</strong> within a hierarchy based on <strong>ISIC Rev. 4</strong>. They are derived from the <strong>OECD's Inter-Country Input-Output (ICIO)</strong> tables (see <a href=" http://oe.cd/icio">ICIO web page</a>). <br/><br/>To construct the ICIO tables, national Supply and Use tables (SUTs) and Input-Output tables (IOTs) are transformed (or harmonised) to standard formats and classifications, combined with bilateral trade in goods and services statistics from international sources, and then balanced under constraints based on official (SNA08) National Accounts by economic activity and National Accounts main aggregates time series. Prior to balancing, many data gaps need to be filled using a variety of estimation techniques. <br/><br/><font color="#00008B"><strong>Bulkdownload files are available in indicators metadata</strong></font>. <br/>Users are encouraged to send their questions, or to signal any apparent errors, regarding the TiVA database to <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a><br/><br/> <pre> • <strong><a href="https://web-archive.oecd.org/2023-11-24/644737-TiVA_2023_Indicators_Guide.pdf">TiVA 2023 Indicators Guide</a></strong> • <strong><a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c78d5ea5-5f55-4b21-ac7d-d872113e2a8f">TIVA 2023 structure and coverage</a></strong></pre><br/><font color="#00008B"><strong>See also <a href="https://data-explorer.oecd.org/vis?locale=en&dataflow[datasourceId]=DisseminateFinal&dataflow[agencyId]=OECD.STI.PIE&dataflow[dataflowId]=DSD_TIVA_MAINSH@DF_MAINSH&dataflow[version]=1.0&hasDataAvailability=true">Trade in Value Added (TiVA) 2023 ed.: Principal Indicators, shares</a></strong></font> Les <font color="#00008B"><strong><a href="http://oe.cd/tiva-fr">Échanges en valeur ajoutée (TiVA)</a></strong></font> permettent d'analyser plus en détail les réseaux de production mondiaux et les chaînes d'approvisionnement, ce que ne permettent pas toujours les statistiques conventionnelles du commerce extérieur. Cette base de données regroupe un certain nombre d'indicateurs majeurs permettant d'identifier les origines de la valeur ajoutée contenue dans les exportations, les importations et la demande finale. <br/> <br/><br/>Les données sont présentées pour la période <strong>1995-2020</strong>, elles couvrent <strong>76 économies</strong> et quelques régions, dont l'intégralité des pays de l'OCDE, de l'UE, du G20 et de l'Association des Nations de l'Asie du Sud Est (ANASE). Les indicateurs sont ventilés selon <strong>45 branches d'activité</strong>, compatibles avec la <strong>CITI Révision 4</strong> et organisées en hiérarchie. De même, quelques regroupements de branches sont publiés dans la base.<br/><br/>Les calculs sont établis à partir des <strong><a href="http://oe.cd/icio-fr">Tableaux internationaux des entrées-sorties (TIES)</a></strong> de l'OCDE. Ces derniers sont estimés à partir des tableaux nationaux des ressources et des emplois (TRE) et des tableaux nationaux des entrées-sorties (TES) lesquels sont, au préalable, transformés et harmonisés, selon des formats et nomenclatures standards, puis combinés aux statistiques sur les échanges bilatéraux de biens et de services. Enfin, une fois les données manquantes estimées, ces deux types de tableaux sont équilibrés à l'aide de contraintes établies à partir des données sectorielles officielles du Système de Comptabilité Nationale de 2008 (SCN08) et des Principaux agrégats de la Comptabilité Nationale. <br/><br/> <font color="#00008B"><strong>Les fichiers pour téléchargement sont disponibles dans les métadonnées des indicateurs</strong></font>. <br/>Les utilisateurs peuvent envoyer leurs questions, ou signaler d'éventuelles anomalies, à <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a><br/><br/> <pre> • <strong><a href="https://web-archive.oecd.org/2023-11-24/644737-TiVA_2023_Indicators_Guide.pdf">TiVA 2023 Guide sur les Indicateurs</a></strong> • <strong><a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c78d5ea5-5f55-4b21-ac7d-d872113e2a8f">TIVA 2023 Structure et couverture</a></strong></pre> <br/><font color="#00008B"><strong>Voir également <a href="https://data-explorer.oecd.org/vis?locale=fr&dataflow[datasourceId]=DisseminateFinal&dataflow[agencyId]=OECD.STI.PIE&dataflow[dataflowId]=DSD_TIVA_MAINSH@DF_MAINSH&dataflow[version]=1.0&hasDataAvailability=true">Échanges en Valeur Ajoutée (TiVA) éd. 2023: Principaux Indicateurs, parts</a></strong></font> ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ,UNIT_MEASURE,UNIT_MULT=0 NOT_DISPLAYED MEASURE=FFD_DVA,REF_AREA=AUS,COUNTERPART_AREA=W,TIME_PERIOD_START=2015 DEFAULT REF_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,COUNTERPART_AREA:OECD.STI.PIE:HCL_TIVA_AREA(1.0).H,ACTIVITY:OECD.STI.PIE:HCL_TIVA_ACTIVITY(1.0).H HIER_CONTEXT Trade in Value Added (TiVA) 2023 edition: Principal Indicators, shares Échanges en Valeur Ajoutée (TiVA) édition 2023: Principaux indicateurs, parts The <font color="#00008B"><strong>Trade in Value Added (TiVA)</strong></font> database is a collection of measures that can provide insights into global production networks and supply chains beyond what is possible with conventional trade statistics.TiVA Principal indicators track the origins of value added in exports, imports and final demand.<br/><br/>This edition covers <strong>76 economies</strong> (including all OECD, EU, G20 and ASEAN countries) as well as region aggregates. Indicators are available for the time-period <strong>1995-2020</strong> and detailed for <strong>45 industries</strong> within a hierarchy based on <strong>ISIC Rev. 4</strong>. They are derived from the <strong>OECD's Inter-Country Input-Output (ICIO)</strong> tables (see <a href=" http://oe.cd/icio">ICIO web page</a>). <br/><br/>To construct the ICIO tables, national Supply and Use tables (SUTs) and Input-Output tables (IOTs) are transformed (or harmonised) to standard formats and classifications, combined with bilateral trade in goods and services statistics from international sources, and then balanced under constraints based on official (SNA08) National Accounts by economic activity and National Accounts main aggregates time series. Prior to balancing, many data gaps need to be filled using a variety of estimation techniques. <br/><br/><font color="#00008B"><strong>Bulkdownload files are available in indicators metadata</strong></font>. <br/>Users are encouraged to send their questions, or to signal any apparent errors, regarding the TiVA database to <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a><br/><br/> <pre> • <strong><a href="https://web-archive.oecd.org/2023-11-24/644737-TiVA_2023_Indicators_Guide.pdf">TiVA 2023 Indicators Guide</a></strong> • <strong><a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c78d5ea5-5f55-4b21-ac7d-d872113e2a8f">TIVA 2023 structure and coverage</a></strong></pre><br/><font color="#00008B"><strong>See also <a href="https://data-explorer.oecd.org/vis?locale=en&dataflow[datasourceId]=DisseminateFinal&dataflow[agencyId]=OECD.STI.PIE&dataflow[dataflowId]=DSD_TIVA_MAINLV@DF_MAINLV&dataflow[version]=1.0&hasDataAvailability=true">Trade in Value Added (TiVA) 2023 ed.: Principal Indicators (levels)</a></strong></font> Les <font color="#00008B"><strong><a href="http://oe.cd/tiva-fr">Échanges en valeur ajoutée (TiVA)</a></strong></font> permettent d'analyser plus en détail les réseaux de production mondiaux et les chaînes d'approvisionnement, ce que ne permettent pas toujours les statistiques conventionnelles du commerce extérieur. Cette base de données regroupe un certain nombre d'indicateurs majeurs permettant d'identifier les origines de la valeur ajoutée contenue dans les exportations, les importations et la demande finale. <br/> <br/><br/>Les données sont présentées pour la période <strong>1995-2020</strong>, elles couvrent <strong>76 économies</strong> et quelques régions, dont l'intégralité des pays de l'OCDE, de l'UE, du G20 et de l'Association des Nations de l'Asie du Sud Est (ANASE). Les indicateurs sont ventilés selon <strong>45 branches d'activité</strong>, compatibles avec la <strong>CITI Révision 4</strong> et organisées en hiérarchie. De même, quelques regroupements de branches sont publiés dans la base.<br/><br/>Les calculs sont établis à partir des <strong><a href="http://oe.cd/icio-fr">Tableaux internationaux des entrées-sorties (TIES)</a></strong> de l'OCDE. Ces derniers sont estimés à partir des tableaux nationaux des ressources et des emplois (TRE) et des tableaux nationaux des entrées-sorties (TES) lesquels sont, au préalable, transformés et harmonisés, selon des formats et nomenclatures standards, puis combinés aux statistiques sur les échanges bilatéraux de biens et de services. Enfin, une fois les données manquantes estimées, ces deux types de tableaux sont équilibrés à l'aide de contraintes établies à partir des données sectorielles officielles du Système de Comptabilité Nationale de 2008 (SCN08) et des Principaux agrégats de la Comptabilité Nationale. <br/><br/> <font color="#00008B"><strong>Les fichiers pour téléchargement sont disponibles dans les métadonnées des indicateurs</strong></font>. <br/>Les utilisateurs sont invités à envoyer leurs questions, ou signaler d'éventuelles anomalies à <a href="mailto:icio-tiva.contact@oecd.org">icio-tiva.contact@oecd.org</a><br/><br/> <pre> • <strong><a href="https://web-archive.oecd.org/2023-11-24/644737-TiVA_2023_Indicators_Guide.pdf">TiVA 2023 Guide sur les Indicateurs</a></strong> • <strong><a href="http://stats.oecd.org/wbos/fileview2.aspx?IDFile=c78d5ea5-5f55-4b21-ac7d-d872113e2a8f">TIVA 2023 Structure et couverture</a></strong></pre> <br/><font color="#00008B"><strong>Voir également <a href="https://data-explorer.oecd.org/vis?locale=fr&dataflow[datasourceId]=DisseminateFinal&dataflow[agencyId]=OECD.STI.PIE&dataflow[dataflowId]=DSD_TIVA_MAINLV@DF_MAINLV&dataflow[version]=1.0&hasDataAvailability=true">Échanges en Valeur Ajoutée (TiVA) éd. 2023: Principaux Indicateurs (niveaux)</a></strong></font> NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,CRITERIA,UNIT_MEASURE,PRICE_BASE LAYOUT_ROW_SECTION OBS_STATUS LAYOUT_FLAG FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=ITA,UNIT_MEASURE=XDC,PRICE_BASE=V DEFAULT ACTIVITY:OECD.STI.STP:HCL_ACTIVITY_ANBERD(1.0).H HIER_CONTEXT Analytical Business Enterprise R&D by ISIC Rev.4 industry (ANBERD database) Base de données analytique sur les dépenses en R-D par industrie (ANBERD CITI Rev. 4) La base de données analytique des dépenses en recherche et développement dans l'industrie (ANBERD) de l’OCDE présente des séries annuelles sur les dépenses de recherche et développement (R-D) du secteur des entreprises et a été conçue afin de fournir aux analystes un jeu de données exhaustif sur les dépenses de R-D par industrie. La base de données ANBERD contient un certain nombre d’estimations qui se basent sur (et complètent) les chiffres nationaux soumis par les pays membres sur les dépenses de R‑D par industrie (activité principale/orientation industrielle). The OECD’s ANalytical Business Enterprise Research and Development (ANBERD) database presents annual data on Research and Development (R&D) expenditures by industry and was developed to provide analysts with comprehensive data on business R&D expenditures. The ANBERD database incorporates a number of estimations that build upon and extend national submissions of business enterprise R&D data by industry (main activity/industry orientation). NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN ASJC,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,REF_AREA=WXOECD,COUNTERPART_AREA=WXOECD NOT_DISPLAYED MEASURE=FPUBS_NBFRAC,UNIT_MEASURE=PBL_SC,ASJC=22,TIME_PERIOD_START=2007 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 7000 MAX_TABLE_DATA Bibliometric indicators, by field Indicateurs bibliométriques, par domaine <p style=\"text-align: justify;\">The following dataset presents seven bibliometric indicators by fields of science for the 2008-2022 period. The dataset covers OECD member and accession countries, key partners (including Brazil, China, India, Indonesia and South Africa) and other selected non-OECD countries.</p><p style=\"text-align: justify;\"><strong>The indicators are: </strong></p><p style=\"text-align: justify;\">1. Scientific publications, fractional counts.</p><p style=\"text-align: justify;\">2. The percentage of corresponding/leading author documents.</p><p style=\"text-align: justify;\">3. The percentage of scientific publications involving international collaboration.</p><p style=\"text-align: justify;\">4. The number of top 10% most cited scientific publications, fractional counts.</p><p style=\"text-align: justify;\">5. Percentage of scientific publications among the world's 10% top-cited publications. The world average is 10% for the period.</p><p style=\"text-align: justify;\">6. The normalised citation impact score is the ratio of actual versus expected publications, shown as a percentage. The world average is 100.</p><p style=\"text-align: justify;\">7. The specialisation index relative to world of scientific publications measures relative specialisation. The world average is 1.</p><p style=\"text-align: justify;\">For more information on the calculations see the dataset documentation.</p><p style=\"text-align: justify;\">Source: OECD calculations based on Scopus Custom Data, Elsevier, Version 1.2024; and Scimago Journal Rankings, April 2024. NonProductionDataflow true REF_AREA LAYOUT_ROW COUNTERPART_AREA LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,REF_AREA=WXOECD,COUNTERPART_AREA=WXOECD NOT_DISPLAYED COUNTERPART_AREA=AUS+CAN+FRA+DEU+ITA+JPN+KOR+ESP+GBR+USA+EU27+BRA+CHN+IND,MEASURE=COLLAB,TIME_PERIOD_START=2022,TIME_PERIOD_END=2022 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 7000 MAX_TABLE_DATA Bibliometric indicators of international collaboration Indicateurs bibliométriques de la collaboration internationale <p style=\"text-align: justify;\">This dataset presents trends in international collaboration calculated using Elsevier's Scopus Custom Data, Elsevier, Version 1.2024.</p><p style=\"text-align: justify;\">International collaboration refers to publications co-authored among institutions in different countries. Estimates are computed for each country by counting documents for which the set of listed affiliations includes at least one address within the country and one outside.</p><p style=\"text-align: justify;\">Data are based on the main country affiliation for authors captured in at least two documents published and indexed in the Scopus database over the 2008-2022 period.</p><p style=\"text-align: justify;\">A threshold has been set and only 10 or more collaborations are presented. Publications refer to citable publications only (articles, reviews and conference proceedings). </p><p style=\"text-align: justify;\"> Publications are attributed to countries on the basis of the authors' institutional affiliations. Whole counts gives equal weight of one to each of the documents authoring units. </p><p style=\"text-align: justify;\"> Bilateral international collaboration intensity, normalised based on whole counts. The indicator of bilateral collaboration intensity between two economies is calculated by dividing the number of scientific publications by authors with affiliations in both economies (whole counts) by the square root of the product of the publications for each of the two economies (whole counts). This indicator is therefore normalised for publication output. NonProductionDataflow true ORIGIN LAYOUT_ROW DESTINATION LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A,ORIGIN=WXOECD,DESTINATION=WXOECD NOT_DISPLAYED DESTINATION=AUS+CAN+FRA+DEU+ITA+JPN+KOR+ESP+GBR+USA+EU27+BRA+CHN+IND DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 7000 MAX_TABLE_DATA Bibliometric indicators of implied bilateral mobility flows Indicateurs bibliométriques des flux de mobilité bilatéraux implicites <p style=\"text-align: justify;\">This dataset presents bilateral flows calculated by OECD using Elsevier's Scopus Custom Data, Elsevier, Version 1.2024.</p><p style=\"text-align: justify;\">Using the term &lsquo;country&rsquo; for economy of language to refer to the jurisdictions or territorial entities indexed by Elsevier for authors&rsquo; affiliations, data are based on the main country affiliation for authors captured in at least two documents published and indexed in the Scopus database over the 2008-2022 period.</p><p style=\"text-align: justify;\">Counts are based on the number of authors with distinct country affiliations in their first and last recorded publication within this period. Flows to and from interim affiliations are not taken into account in this figure.</p><p style=\"text-align: justify;\">In the case of multiple country affiliations (approximately 2 percent of documents), the most recurrent country (modal) affiliation for that author has been used. Values under the threshold of 10 flows have been suppressed in the published database. NonProductionDataflow true OBS_STATUS=A,LOCATION=WXOECD NOT_DISPLAYED TIME_PERIOD_START=2010,VAR=ADTERPOP_XT DEFAULT REITER.Stat NonProductionDataflow true OBS_STATUS=A,LOCATION=WXOECD NOT_DISPLAYED TIME_PERIOD_START=2010,VAR=G_XGDP DEFAULT COMPASS Key Indicators NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,CONF_STATUS LAYOUT_FLAG PRICE_BASE=_Z,TRANSFORMATION=_Z,UNIT_MULT=0,PRICES=_Z,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=G+T_RS DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,TRANSFORMATION,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée EXT_RESOURCE All MSTI tables in Excel|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4a027aba-85c3-46c2-a974-524ed1fe1567 Toutes les tables PIST en Excel|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4a027aba-85c3-46c2-a974-524ed1fe1567 Main Science and Technology Indicators (MSTI database) Principaux Indicateurs de la Science et de la Technologie (Base de données PIST) The OECD Main Science and Technology Indicators (MSTI) provide a set of indicators that compare the Science and Technology (S&T) performance of OECD member countries and selected non-member economies. The MSTI database focuses principally on tracking financial and human resources devoted to research and experimental development (R&D), as defined in the OECD Frascati Manual, complemented by additional indicators of outputs and potential outcomes of S&T activities, namely patent data and international trade in R&D-intensive industries. MSTI also comprises several OECD economic and demographic statistical series which are used to calculate relevant benchmarks that account for differences in the relative size of economies, purchasing power and the effect of inflation. Les Principaux Indicateurs de la Science et de la Technologie (PIST) de l'OCDE fournissent un ensemble d’indicateurs pour comparer les performances en matière de Science et de Technologie (S&T) des pays membres de l'OCDE et de certaines économies non-membres. La base de données PIST se concentre principalement sur le suivi des ressources financières et humaines consacrées à la recherche et au développement expérimental (R-D), telles que définies dans le Manuel de Frascati de l'OCDE. Elle est complétée par des indicateurs sur les résultats des activités scientifiques et technologiques, à savoir des indicateurs sur les brevets et sur le commerce international dans les industries à forte intensité de R-D. La base PIST comprend également des séries économiques et démographiques de l'OCDE servant à produire des indicateurs ajustés qui tiennent compte des différences de taille, de pouvoir d'achat et de prix entre économies. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,CRITERIA,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY LAYOUT_FLAG FREQ=A,MEASURE=EXP,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2015,REF_AREA=AUS,UNIT_MEASURE=XDC DEFAULT Business enterprise R&D expenditure by industry Dépenses intra-muros totale de R-D des entreprises par industrie <p>This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 4.</p> Ce tableau présente des statistiques de dépenses intra-muros de recherche et développement (R-D) exécutées dans le secteur des entreprises par industrie selon la Classification internationale type par industrie (CITI) révision 4. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD,SECT_FUND LAYOUT_COLUMN REF_AREA,CRITERIA,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY LAYOUT_FLAG FREQ=A,MEASURE=EXP,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2015,REF_AREA=AUS,UNIT_MEASURE=XDC DEFAULT Business enterprise R&D expenditure by main activity (focussed) and source of funds Dépenses intra-muros totale de R-D des entreprises par industrie et par source de financement <p>This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 4. and by source of funds (business enterprise, government, other national funds, and funds from the rest of the world).</p> Ce tableau présente des statistiques de dépenses intra-muros de recherche et développement (R-D) exécutées dans le secteur des entreprises par industrie selon la Classification internationale type par industrie (CITI) révision 4. et par source de financement (entreprises, l'État, autres sources nationales, et fonds du reste du monde). NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD,TYPE_COST LAYOUT_COLUMN REF_AREA,CRITERIA,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY LAYOUT_FLAG FREQ=A,MEASURE=EXP,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2015,REF_AREA=AUS,UNIT_MEASURE=XDC DEFAULT Business enterprise R&D expenditure by main activity (focussed) and type of expenditure Dépenses intra-muros totale de R-D des entreprises par industrie et par type de dépense <p>This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 4. and by type of expenditure (current expenditure, capital expenditure).</p> Ce tableau présente des statistiques de dépenses intra-muros de recherche et développement (R-D) exécutées dans le secteur des entreprises par industrie selon la Classification internationale type par industrie (CITI révision 4) et par type de dépenses (dépenses courantes et dépenses en capital). NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SECT_FUND, SIZE_CLASS,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY LAYOUT_FLAG FREQ=A,MEASURE=EXP,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2015,REF_AREA=AUT,UNIT_MEASURE=XDC,SECT_PERF=BES DEFAULT Business enterprise R&D expenditure by size class and by source of funds Dépenses intra-muros totale de R-D des entreprises par source de financement et nombre de personnes employées <p>This table presents research and development (R&D) expenditure statistics performed in the business enterprise sector. Data include total business enterprise intramural expenditure on R&D by size class and source of funds.</p> Ce tableau présente des statistiques de dépenses intra-muros de recherche et développement (R-D) exécutées dans le secteur des entreprises. Les données incluent des dépenses intra-muros de R-D du secteur des entreprises par taille d'entreprise et source de financement. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SECT_PERF, FORD,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY LAYOUT_FLAG FREQ=A,MEASURE=EXP,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2015,SECT_PERF=_T,FORD=_T,UNIT_MEASURE=XDC DEFAULT Gross domestic expenditure on R&D by sector of performance and field of R&D Dépenses intérieures brutes de R-D par secteur d'exécution et par domaine de R-D <p>This table contains research and development (R&D) expenditure statistics on gross domestic R&D expenditure by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by field of research (natural sciences, engineering and technology, medical and health sciences, agricultural and veterinary sciences, social sciences, and humanities and the arts).</p> Ce tableau présente des statistiques de dépenses intra-muros de recherche et développement (R-D) . Les données incluent des dépenses intérieures brutes de R-D par secteur d'exécution (entreprises, État, enseignement supérieur, institutions sans but lucratif, et total intra-muros) et par discipline scientifique (sciences naturelles, ingénierie et technologie, sciences médicales et sciences de la santé, sciences agricoles et vétérinaires, sciences sociales et sciences humaines et arts). NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SECT_PERF, SEO,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY LAYOUT_FLAG FREQ=A,MEASURE=EXP,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2015,SECT_PERF=_T,SEO=_T,UNIT_MEASURE=XDC DEFAULT Gross domestic expenditure on R&D by sector of performance and socio-economic objectives Dépenses intérieures brutes de R-D par secteur d'exécution et par objectif socio-économique <p>This table contains data on Gross domestic expenditure on R&amp;D (GERD) by socio-economic objective (SEO), using the NABS 2007 classification i.e.: Exploration and exploitation of the Earth, Environment, Exploration and exploitation of space, Transport, telecommunication and other infrastructures, Energy, Industrial production and technology, Health, Agriculture, Education, Culture, recreation, religion and mass media, Political and social systems, structures and processes, General advancement of knowledge, and Defence.</p> Ce tableau présente les données sur les Dépenses intérieures brutes de R-D (DIRD) par objectif socio-économique selon la classification NABS 2007, c'est à dire: Exploration et exploitation du milieu terrestre, Environnement, Exploration et exploitation de l'espace, Transports, télécommunications et autres infrastructures, Énergie, Production et technologie industrielles, Santé publique, Agriculture, Enseignement, Culture, activités de loisirs, réligion et médias, Organisation et structure politique et sociale, Progrès général des connaissances, et Défense. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SECT_PERF, SECT_FUND,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY LAYOUT_FLAG FREQ=A,MEASURE=EXP,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2015,SECT_PERF=_T,SECT_FUND=_T,UNIT_MEASURE=XDC DEFAULT Gross domestic expenditure on R&D by sector of performance and source of funds Dépenses intérieures brutes de R-D par secteur d'exécution et par source de financement <p>This table contains gross research and development (R&amp;D) expenditure statistics broken down by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by source of funds (business enterprise, government - including public general university funds -, higher education, private non-profit and funds from the rest of the World - including funds from enterprises and other funds from the rest of the World).</p> Ce tableau présente des statistiques de dépenses intra-muros de recherche et développement (R-D). Les données incluent des dépenses intérieures brutes de R-D par secteur d’exécution (entreprises, État, enseignement supérieur, institutions sans but lucratif, et total intra-muros) et par source de financement (entreprises, État - y compris les fonds généraux des universités d’origine publique -, enseignement supérieur, institutions sans but lucratif, et fonds du reste du monde - y compris les fonds provenant des entreprises et autres fonds du reste du monde). NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SECT_PERF, TYPE_COST,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY LAYOUT_FLAG FREQ=A,MEASURE=EXP,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2015,SECT_PERF=_T,TYPE_COST=_T,UNIT_MEASURE=XDC DEFAULT Gross domestic expenditure on R&D by sector of performance and type of expenditure Dépenses intérieures brutes de R-D par secteur d'exécution et par type de dépenses <p>This table presents research and development (R&D) expenditure statistics. Data include gross domestic R&D expenditure by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by type of expenditure (current expenditure, capital expenditure and their respective breakdowns).</p> Ce tableau présente des statistiques de dépenses intra-muros de recherche et développement (R-D). Les données incluent des dépenses intérieures brutes de R-D par secteur d’exécution (entreprises, État, enseignement supérieur, institutions sans but lucratif, et total intra-muros) et par type de dépenses (dépenses courantes, en capital et leurs ventilations respectives). NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SECT_PERF, TYPE_RD,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY LAYOUT_FLAG FREQ=A,MEASURE=EXP,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2015,SECT_PERF=_T,TYPE_RD=_T,UNIT_MEASURE=XDC DEFAULT Gross domestic expenditure on R&D by sector of performance and type of R&D Dépenses de R-D par secteur d'exécution et par type de R-D <p>This table contains gross domestic R&amp;D expenditures by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by type of R&amp;D (basic research, applied research, experimental development, capital expenditure not elsewhere classified).</p> Ce tableau présente des statistiques de dépenses intra-muros de recherche et développement (R-D) . Les données incluent les dépenses intérieures brutes de R-D par secteur d'exécution (les entreprises, l'État, l'enseignement supérieur, les institutions sans but lucratif, et total intra-muros) et par type de R-D (recherche fondamentale, recherche appliquée, développement expérimentale, non spécifié). NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEO,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS,CURRENCY LAYOUT_FLAG FREQ=A,MEASURE=EXP,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEO=_T,UNIT_MEASURE=XDC DEFAULT Government budget allocations for R&D Crédits budgétaires publics de R-D <p>This table contains data on Government budget allocations for R&amp;D (GBARD) by socio-economic objective (SEO), using the NABS 2007 classification</p> Ce tableau présente les données sur les crédits budgétaires publics de R-D (CBPRD) par objectif socio-économique selon la classification NABS 2007, c'est à dire: Exploration et exploitation du milieu terrestre, Environnement, Exploration et exploitation de l'espace, Transports, télécommunications et autres infrastructures, Énergie, Production et technologie industrielles, Santé publique, Agriculture, Enseignement, Culture, activités de loisirs, réligion et médias, Organisation et structure politique et sociale, Progrès général des connaissances: activités de R-D financées par les Fonds généraux des universités (FGU), Progrès général des connaissances: activités de R-D financées par d’autres sources que les FGU, Défense. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SECT_PERF,GENDER,EMP_STATUS LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS LAYOUT_FLAG FREQ=A,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2015,SECT_PERF=_T,FUNCTION=RSE,FORD=_T,SEX=_T,UNIT_MEASURE=PS_FTE DEFAULT R&D personel by sector of performance and major field of R&D Personnel de R-D par secteur d'emploi et domaine scientifique <p>This table contains research and development (R&amp;D) personnel statistics. Number of R&amp;D personnel is provided in both headcounts and full-time equivalent on R&amp;D by sex, sector of employment (business enterprise, government, higher education, and private non-profit) and by field of research (natural sciences, engineering and technology, medical and health sciences, agricultural and veterinary sciences, social sciences, and humanities and the arts).</p> Ce tableaux présente des statistiques sur le personnel de recherche et développement (R-D). Il fournit le nombre du personnel de R-D, par sexe, par secteur d'emploi et par domaine de R-D, en équivalence plein temps à des travaux de R-D (EPT) si disponible, ou en personnes physiques dans le cas contraire. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SECT_PERF,FUNCTION,GENDER,EMP_STATUS LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS LAYOUT_FLAG FREQ=A,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2015,SECT_PERF=_T,FUNCTION=_T,SEX=_T,UNIT_MEASURE=PS_FTE DEFAULT R&D personnel by sector of performance and function Personnel de R-D par secteur d'emploi et profession <p>This table contains research and development (R&amp;D) personnel statistics. Number of R&amp;D personnel is provided in both headcounts and full-time equivalent on R&amp;D by sex, sector of employment (business enterprise, government, higher education, and private non-profit) and by function (researchers, technicians and other support staff).</p> Ce tableaux présente des statistiques sur le personnel de recherche et développement (R-D). Il fournit le nombre, mesuré en personnes physiques et en équivalence plein temps à des activités de R-D, du personnel de R-D par sexe, par secteur d'emploi (entreprises, État, enseignement supérieur, institutions sans but lucratif) et par profession (chercheurs, techniciens et autre personnel de soutien). NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,GENDER,EMP_STATUS LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS LAYOUT_FLAG FREQ=A,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2015,REF_AREA=AUS,FUNCTION=RSE,SEX=_T,UNIT_MEASURE=PS_FTE DEFAULT R&D personnel in the business enterprise sector by main activity Personnel de R-D dans le secteur des entreprises par industrie <p>This table presents research and development (R&D) statistics on personnel in the business enterprise sector. Measured in full-time equivalent are the number of total R&D personnel and researchers in the business enterprise sector by industry according to the International Standard Industrial Classification (ISIC) revision 4. Data at the industry level are presented from 2000, first year from which some countries converted their data from ISIC rev.3.1 to the current ISIC rev. 4 classification.</p> Ce tableau présente des statistiques sur le personnel de recherche et développement (R-D) du secteur des entreprises. Il fournit le nombre, mesuré en équivalence plein temps à des travaux de R-D, du personnel total de R-D et des chercheurs dans le secteur des entreprises par industrie selon la Classification internationale type par industrie (CITI) révision 4. Les données par industrie sont présentées à partir de 2000, première année à partir de laquelle des pays ont converti leurs données de la classification CITI rév 3.1 vers la CITI rév 4. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SECT_PERF,GENDER,EMP_STATUS LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CONF_STATUS LAYOUT_FLAG FREQ=A,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2015,SECT_PERF=_T,FUNCTION=RSE,EDUCATION_LEV=_T,SEX=_T,UNIT_MEASURE=PS DEFAULT R&D personnel by sector of performance and formal qualification Personnel de R-D par secteur d'emploi et niveau de qualification <p>This table presents research and development (R&D) personnel statistics. Number of R&D personnel is provided in headcounts;D by sex, sector of employment (business enterprise, government, higher education, and private non-profit) and by formal qualification (university and other diplomas by ISCED classification).</p> Ce tableau présente des statistiques sur le personnel de recherche et développement (R-D). Il fournit le nombre, mesuré en personnes physiques, du personnel de R-D par sexe, par secteur d'emploi (entreprises, État, enseignement supérieur, institutions sans but lucratif) et par niveau de qualification (diplômes universitaires et autre diplômes selon la classification CITE). NonProductionDataflow true REF_AREA LAYOUT_ROW UNIT_MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CURRENCY LAYOUT_FLAG FREQ=A,UNIT_MULT=0,MEASURE=IPTAX NOT_DISPLAYED UNIT_MEASURE=PT_B1GQ DEFAULT EXT_RESOURCE General and country specific notes – Income-based tax support|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=848b5e68-28dc-49b0-aeb5-3a1a53daded1 Notes générales et spécifiques au pays – Aide fiscale basée sur le revenu|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=848b5e68-28dc-49b0-aeb5-3a1a53daded1 V2/structure/dataflow/,/DSD_RDTAX@DF_RDTAX,DSD_RDTAX@DF_RDSUB,DSD_ETR@DF_ETR_XBRD,DSD_ETR@DF_ETR_IBRD/latest RELATED_DATA Income-based tax support for R&D and Innovation Aide fiscale à la R-D et l’innovation basée sur le revenu <p>The OECD R&amp;D Tax Incentives database has been extended in scope in November 2024 to additionally include one indicator (IPTAX) on income-based tax support for R&amp;D and innovation provided at central and/or subnational government level across OECD member countries and eleven non-member economies (Argentina, Brazil, Bulgaria, Croatia, Cyprus, Malta, People's Republic of China, Peru, Romania, South Africa and Thailand). Income-based tax incentives provide relief in form of a reduced tax rate or tax exemption on revenues connected with outputs of the innovation activity of the firm. They comprise two broad categories of incentives: (i) intellectual property (IP) regimes that provide relief to the income derived from certain eligible IP assets (e.g. patent boxes), which can be related to the innovation activity of the firm, and (ii) dual category&rsquo; regimes which provide relief to the entirety of business income (i.e. not necessarily IP-based) but restricted to eligible businesses deemed to be engaged in R&amp;D or other innovation-related activities. The new indicator included in the OECD R&amp;D Tax Incentives database specifies the cost of income-based tax support for R&amp;D and innovation to governments in 2021 (or latest year), measured in terms of foregone tax revenue. It complements existing indicators in the OECD R&amp;D Tax Incentives database that reflect the level and structure of central government support for business R&amp;D in form of tax and direct support for business R&amp;D expenditures.</p> NonProductionDataflow true REF_AREA,SIZE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ=A,MEASURE=RDSUB,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED TIME_PERIOD_START=2015 DEFAULT EXT_RESOURCE OECD R&D Tax Incentives Database 2023_2|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ebb21ac1-1802-4b57-9c74-68338a86a6cb Base de données de l'OCDE sur les incitations fiscales à la R&D 2023_2|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ebb21ac1-1802-4b57-9c74-68338a86a6cb EXT_RESOURCE General and country specific notes - B-Index|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=eb7cb8ad-0738-49e8-b3f8-5158db6b6d96 Notes générales et spécifiques à chaque pays - GTARD|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=eb7cb8ad-0738-49e8-b3f8-5158db6b6d96 V2/structure/dataflow/,/DSD_RDTAX@DF_RDTAX,DSD_RDTAX@DF_IPTAX,DSD_ETR@DF_ETR_XBRD,DSD_ETR@DF_ETR_IBRD/latest RELATED_DATA Implied tax subsidy rates on R&D expenditures Taux de subvention fiscale des dépenses de R-D <p>The OECD R&amp;D Tax Incentives database presents OECD time-series indicators of implied tax subsidy rates on R&amp;D expenditures by firm size and profitability scenario for OECD member countries and other major economies, drawing on data collected in the OECD R&amp;D tax incentives surveys since 2007. Implied R&amp;D tax subsidy rates are defined as 1 minus the B-Index, a measure of the before-tax income needed by a “representative” firm to break even on one additional monetary unit of R&amp;D outlay (<a href="http://www.oecd.org/sti/37124998.pdf">Warda, 2001</a>; <a href="https://one.oecd.org/document/DSTI/STP/NESTI(2023)2/FINAL/en/pdf">OECD, 2023</a>). The more generous the tax provisions for R&amp;D, the lower the before-tax breakeven economic return required by firms and the higher the implied marginal R&amp;D tax subsidy. The OECD time-series estimates of implied R&amp;D tax subsidy rates is based on headline tax credit and allowance rates. Due to limited historical data availability, the estimates are not adjusted for provisions that bound the tax benefits received by firms (e.g. ceilings, thresholds). They therefore provide an upper bound for the marginal tax subsidy implied by R&amp;D tax relief measures at central government level across countries over time. <a href="https://dx.doi.org/10.1787/d16e6072-en">OECD (2019)</a> provides a practical guide to using the OECD R&amp;D Tax Incentives database, describing the R&amp;D tax incentive time series data and highlighting their potential for internationally comparative work through descriptive indicators and econometric analysis.</p> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,AUX_OBS_STATUS_3,CURRENCY LAYOUT_FLAG FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED TIME_PERIOD_START=2015,UNIT_MEASURE=PT_B1GQ DEFAULT EXT_RESOURCE OECD R&D Tax Incentives Database 2023_2|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ebb21ac1-1802-4b57-9c74-68338a86a6cb Base de données de l'OCDE sur les incitations fiscales à la R&D 2023_2|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ebb21ac1-1802-4b57-9c74-68338a86a6cb EXT_RESOURCE General and country specific notes - GTARD|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=7bac5f9d-e557-4938-8928-dda26fb93a19 Notes générales et spécifiques à chaque pays - GTARD|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=7bac5f9d-e557-4938-8928-dda26fb93a19 V2/structure/dataflow/,/DSD_RDTAX@DF_RDSUB,DSD_RDTAX@DF_IPTAX,DSD_ETR@DF_ETR_XBRD,DSD_ETR@DF_ETR_IBRD/latest RELATED_DATA R&D tax expenditure and direct government funding of BERD Dépenses fiscale en faveur de la R-D et financement public direct de la DIRDE <p>The OECD R&amp;D Tax Incentives database provides a set of indicators that reflect the level and structure of central and subnational government support for business R&amp;D in form of R&amp;D tax incentives and direct funding across OECD member countries and other major economies. This includes time-series indicators of tax expenditures for R&amp;D, based on the latest OECD data collection on tax incentive support for R&amp;D expenditures. Estimates of the cost of R&amp;D tax support at subnational government level are reported whenever such provisions are applicable and relevant data are available. These estimates of the cost of central and subnational R&amp;D tax relief have been combined with data on direct government funding of business expenditure on R&amp;D (BERD), as compiled by National Statistical Offices based on reports from firms, in order to provide a more complete picture of government efforts to promote business R&amp;D. Furthermore, these estimates are combined with data on Government budget allocations for R&amp;D (GBARD) in the broader context of overall budgetary support for R&amp;D activities undertaken by governments. Government budget allocations for R&amp;D include direct funding provided to all sectors, including contributions to R&amp;D programmes abroad. <a href="https://dx.doi.org/10.1787/d16e6072-en">OECD (2019)</a>provides a practical guide to using the OECD R&amp;D Tax Incentives database, describing the R&amp;D tax incentive time series data and highlighting their potential for internationally comparative work through descriptive indicators and econometric analysis.</p> NonProductionDataflow true OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,AUX_OBS_STATUS,AUX_OBS_STATUS_2,CONF_STATUS LAYOUT_FLAG OBS_STATUS=A,LOCATION=WXOECD NOT_DISPLAYED VAR=G_PPP,TIME_PERIOD_START=2005 DEFAULT R&D indicators sub-platform Plateforme des indiacteurs de la R-D NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Argentina Soutien aux énergies fossiles - Argentine <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Armenia Soutien aux énergies fossiles - Arménie <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=SECT+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Australia Soutien aux énergies fossiles - Australie <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Austria Soutien aux énergies fossiles - Autriche <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Azerbaijan Soutien aux énergies fossiles - Azerbaïdjan <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Belgium Soutien aux énergies fossiles - Belgique <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Belarus Soutien aux énergies fossiles - Biélorussie <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Brazil Soutien aux énergies fossiles - Brésil <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT 12000 MAX_TABLE_DATA Fossil Fuel Support - Canada Soutien aux énergies fossiles - Canada <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Switzerland Soutien aux énergies fossiles - Suisse <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Chili Soutien aux énergies fossiles - Chili <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - China Soutien aux énergies fossiles - Chine <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Colombia Soutien aux énergies fossiles - Colombie <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Costa Rica Soutien aux énergies fossiles - Costa Rica <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Czechia Soutien aux énergies fossiles - République Tchèque <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Germany Soutien aux énergies fossiles - Allemagne <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Danemark Soutien aux énergies fossiles - Danemark <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Spain Soutien aux énergies fossiles - Espagne <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Estonia Soutien aux énergies fossiles - Estonie <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Finland Soutien aux énergies fossiles - Finlande <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - France Soutien aux énergies fossiles - France <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - United Kingdom Soutien aux énergies fossiles - Royaume-Uni <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Georgia Soutien aux énergies fossiles - Géorgie <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Greece Soutien aux énergies fossiles - Grèce <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Hungary Soutien aux énergies fossiles - Hongrie <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Indonesia Soutien aux énergies fossiles - Indonésie <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - India Soutien aux énergies fossiles - Inde <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true UNIT_MEASURE,FUEL_CAT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MECHANISM,IND_BENEFICIARY LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13 NOT_DISPLAYED TIME_PERIOD_START=2010,IND_BENEFICIARY=_T,MECHANISM=_T,UNIT_MEASURE=USD DEFAULT Fossil Fuel Support - Detailed Indicators Soutien aux Combustibles Fossiles - Indicateurs détaillés <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Ireland Soutien aux énergies fossiles - Irlande <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Island Soutien aux énergies fossiles - Islande <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Israel Soutien aux énergies fossiles - Israël <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Italy Soutien aux énergies fossiles - Italie <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Japan Soutien aux énergies fossiles - Japon <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Korea Soutien aux énergies fossiles - Corée du Sud <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Lithuania Soutien aux énergies fossiles - Lituanie <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Luxembourg Soutien aux énergies fossiles - Luxembourg <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Latvia Soutien aux énergies fossiles - Lettonie <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Moldova Soutien aux énergies fossiles - Moldavie <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Mexico Soutien aux énergies fossiles - Mexique <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Netherlands Soutien aux énergies fossiles - Pays-Bas <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Norway Soutien aux énergies fossiles - Norvège <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - New Zealand Soutien aux énergies fossiles - Nouvelle-Zélande <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Poland Soutien aux énergies fossiles - Pologne <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Portugal Soutien aux énergies fossiles - Portugal <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Russian Federation Soutien aux énergies fossiles - Russie <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Slovakia Soutien aux énergies fossiles - Slovaquie <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Slovenia Soutien aux énergies fossiles - Slovénie <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Sweden Soutien aux énergies fossiles - Suède <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Türkiye Soutien aux énergies fossiles - Turquie <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - Ukraine Soutien aux énergies fossiles - Ukraine <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT 15000 MAX_TABLE_DATA Fossil Fuel Support - United States Soutien aux énergies fossiles - États-Unis <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true INSTRUMENT,IND_BENEFICIARY,STAGE,FUEL_CAT,LEVEL,STATE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,LEVEL=S1+S13,IND_BENEFICIARY=_T+BENEF NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Fossil Fuel Support - South Africa Soutien aux énergies fossiles - Afrique du Sud <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> <strong>Methodology:</strong> https://www.oecd.org/fossil-fuels/methodology/:<br /> <strong>National Data:</strong> http://stats.oecd.org/wbos/fileview2.aspx?IDFile81561a30-0f52-4c7b-8946-9eeb28e73f01<br /> <strong>OECD Fossil Fuel Support Portal</strong>: https://www.oecd.org/fossil-fuels/<br /> <strong>Contact</strong>: ffs.contact@oecd.org<br /> <strong>Source</strong>: OECD Companion to the Inventory of Support Measures for Fossil Fuels 2021<br /> <strong>Last updated</strong>: Novembre 2024, annual data. Data for 2023 are preliminary and may contain OECD-generated estimates.<br /><br /> <strong>Key statistical concept</strong>: <br /><strong>PSE:</strong> Producer Support Estimate <br /> <strong>GSSE:</strong> General Services Support Estimate <br /> <strong>CSE:</strong> Consumer Support Estimate <br /> <strong>EXTRACT:</strong> Extraction or mining stage <br /> <strong>TRANS:</strong> Transportation of fossil fuels (e.g., through pipelines) <br /> <strong>REFIN:</strong> Refining or processing stage <br /> <strong>GENER:</strong> Use of fossil fuels in ectricity generation <br /> <strong>INDUS:</strong> Use of fossil fuels in the industrial sector <br /> <strong>END:</strong> Other end uses of fossil fuels <br /> <strong>consumption:</strong> Direct consumption <br /> <strong>returns:</strong> Output Returns<br /> <strong>income:</strong> Enterprise Income<br /> <strong>inputs:</strong> Cost of Intermediate Inputs<br /> <strong>labour:</strong> Labour <br /> <strong>land:</strong> Land and natural resources <br /><br /> <strong>Other comments</strong>: 1) Fiscal cost of support measures for fossil fuels are based on information reported by countries through official documentation (e.g. budget reports). Support measures for which such information is not available are excluded from the aggregate amount reported in this table. In addition, support measures in certain countries may not have been exhaustively identified.<br />2) Tax expenditures are estimates of revenue that is foregone due to a particular feature of the tax system that reduces or postpones tax payments (relative to a jurisdiction’s benchmark tax system) to the benefit of fossil fuels’ producers or users. Hence, (i) tax expenditures estimates can increase either because of greater concessions (relative to the benchmark tax system) or because of an increase in the benchmark itself; (ii) cross-country comparisons of tax expenditures can be misleading due to country-specific benchmark tax systems.<br /> 3) Support measures for fossil fuels are included in the Inventory without reference to their economic or environmental effects. No judgment is therefore made as to whether such measures are inefficient or ought to be reformed.<br /> NonProductionDataflow true REF_AREA,POLICY_TYPE,COMMODITY,POLICY_VARIATION LAYOUT_ROW YEAR,POLICY_DESCRIPTION LAYOUT_COLUMN UNIT_MEASURE,UNIT_MULT,OBS_STATUS NOT_DISPLAYED TIME_PERIOD_START=2009 DEFAULT 10000 MAX_TABLE_DATA Export restrictions on raw materials Restrictions à l'exportation sur les matières premières <div class="col-sm-12"> <h3>About the Inventory on export restrictions on Industrial Raw Materials</h3> <p>This Inventory contains information on export regulations in the raw materials sector, namely minerals, metals and wood. It records measures known to restrain export activity from 2009-2023 at the 6-digit level of HS2007 classification.</p> <p><b>Selection must be started by choosing a country (reference area).</b> Then data queries can be made using one or several of the filters: Type of measures, Commodities, and Year. Selection of products is possible through the "Commodities" filter. After a selection is made in one filter, the other filters automatically align and only elements where data are available are selectable. </p> <p>The list of countries below were reviewed and no restriction in place was found over the period 2009-2023</p><ul> <li> Austria</li> <li> Belgium</li> <li> Bulgaria</li> <li> Czechia</li> <li> Denmark</li> <li> Finland</li> <li> France</li> <li> Germany</li> <li> Greece</li> <li> Hungary</li> <li> Ireland</li> <li> Italy</li> <li> Korea</li> <li> Netherlands</li> <li> New Caledonia</li> <li> Norway</li> <li> Poland</li> <li> Portugal</li> <li> Slovak Republic</li> <li> Spain</li> <li> Sweden</li> <li> United Kingdom</li> </ul> <p>Regulations on exports of primary agriculture products are contained in a separate database. For current information on trade and domestic measures related to wheat, maize, rice, and soybean please refer to the <a href="https://www.oecd.org/agriculture/amis-policy-database/" target="_blank">AMIS Policy Database</a>.</p> <h3>Methodology</h3> <p><a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/export-restrictions-on-critical-raw-materials/methodological-note-inventory-export-restrictions-industrial-raw-materials_2024.pdf" target="_blank">Methodological note to the Inventory on export restrictions on Industrial Raw Materials:</a> <br/>This note explains the measures included in the database as well as the coverage and methodology of the data collection.</p> <p><a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/export-restrictions-on-critical-raw-materials/oecd-industrial-raw-materials-complete-data_2024.xlsx" target="_blank"><b>Download complete data set for Industrial Raw Materials</b></a></p> </div> <div class="col-sm-12"> <h3>À propos de l'inventaire des restrictions à l'exportation des matières premières industrielles</h3> <p> Cet inventaire contient des informations sur les réglementations contraignant à l'exportation dans le secteur des matières premières, à savoir les minéraux, les métaux et le bois. Il recense les mesures connues pour restreindre l'activité d'exportation entre 2009 et 2023 au niveau 6 chiffres de la classification HS2007. </p> <p><b> La sélection doit commencer par le choix d'un pays (zone de référence). </b>Il est ensuite possible d'interroger les données en utilisant un ou plusieurs filtres : Type de politique, Produit et Année. La sélection des produits est possible à travers le filtre "Produit". Une fois la sélection effectuée dans un filtre, les autres filtres s'alignent automatiquement et seuls les éléments pour lesquels des données sont disponibles peuvent être sélectionnés. </p> <p> La liste des pays ci-dessous a été examinée et aucune restriction n'a été trouvée pour la période 2009-2023.</p><ul> <li>Autriche</li> <li>Belgique</li> <li>Bulgarie</li> <li>Tchéquie</li> <li>Danemark</li> <li>Finlande</li> <li>Finlande</li> <li>France</li> <li>Grèce</li> <li>Hongrie</li> <li>Irlande</li> <li>Italie</li> <li>Corée du Sud</li> <li>Pays-Bas</li> <li>Nouvelle-Calédonie</li> <li>Norvège</li> <li>Pologne</li> <li>Portugal</li> <li>République slovaque</li> <li>Espagne</li> <li>Suède</li> <li>Royaume-Uni</li> </ul> <p> Les réglementations relatives aux exportations de produits agricoles primaires font l'objet d'une base de données distincte. Pour des informations actualisées sur les mesures commerciales et nationales relatives au blé, au maïs, au riz et au soja, veuillez vous référer à la base de données <a href="https://www.oecd.org/agriculture/amis-policy-database/" target="_blank">AMIS Policy Database</a>.</p> <h3> Méthodologie de l'inventaire</h3> <p><a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/export-restrictions-on-critical-raw-materials/methodological-note-inventory-export-restrictions-industrial-raw-materials_2024.pdf" target="_blank"> Note méthodologique de l'inventaire des restrictions à l'exportation de matières premières industrielles :</a> <br/> Cette note explique les mesures incluses dans la base de données ainsi que la couverture et la méthodologie de la collecte de données. </p> <p><a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/export-restrictions-on-critical-raw-materials/oecd-industrial-raw-materials-complete-data_2024.xlsx" target="_blank"><b> Télécharger l'ensemble des données sur les matières premières industrielles </b></a></p> </div> NonProductionDataflow true Agri-Environmental indicators: 2023 Dashboard Archived Agri-Environmental indicators: 2023 Dashboard Archived NonProductionDataflow true Agri-Environmental indicators: 2024 Dashboard Agri-Environmental indicators: 2024 Dashboard NonProductionDataflow true MEASURE_AE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2012,MEASURE=TOTAGR_LAND DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Agri-environmental indicators: all data Agri-environnemental indicateurs: toutes les données <p>The OECD database of agri-environmental indicators (AEIs) provides the latest and most comprehensive set of indicators for 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging economies: Argentina, Brazil, People’s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam. The period shown spans 1985 to the most recent data available (varies by country). The database is compiled based on annual data collection by the OECD Secretariat for some countries and via collaboration with Eurostat, which collects statistics for all EU member states plus Norway and Switzerland. <p> <p>The AEI database can be used as a tool to assist policy makers by describing the current state and trends of environmental conditions in agriculture that may require policy responses; highlighting where “hot spots” or new challenges are emerging; monitoring trends over time, especially to assist policy makers in meeting environmental targets, threshold levels and standards where these have been established; providing data that can be used to develop other indicators; and as a basis for policy evaluation.<p> <p>La base de données de l'OCDE sur les indicateurs agro-environnementaux (IAE) fournit l'ensemble le plus récent et le plus complet d'indicateurs pour 38 pays membres de l'OCDE, 5 États membres de l'Union européenne non membres de l'OCDE et 11 économies émergentes : Argentine, Brésil, République populaire de Chine, Inde, Indonésie, Kazakhstan, Philippines, Fédération de Russie, Afrique du Sud, Ukraine et Viet Nam. La période présentée s'étend de 1985 aux données les plus récentes disponibles (variables selon les pays). La base de données est constituée à partir de la collecte annuelle de données par le Secrétariat de l'OCDE pour certains pays et en collaboration avec Eurostat, qui recueille des statistiques pour tous les États membres de l'UE ainsi que pour la Norvège et la Suisse. <p> <p>La base de données des IAE peut être utilisée comme un outil pour aider les décideurs politiques en décrivant l'état actuel et les tendances des conditions environnementales dans l'agriculture qui peuvent nécessiter des réponses politiques ; en mettant en évidence les "points chauds" ou les nouveaux défis qui émergent ; en surveillant les tendances dans le temps, en particulier pour aider les décideurs politiques à atteindre les objectifs environnementaux, les niveaux de seuil et les normes lorsque ceux-ci ont été établis ; en fournissant des données qui peuvent être utilisées pour développer d'autres indicateurs ; et comme une base pour l'évaluation des politiques.<p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2012 DEFAULT Ammonia emissions Émissions d'ammoniac NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=1995 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Biodiversity Biodiversité NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2012,MEASURE=TOTGHG_GAZ DEFAULT Agricultural greenhouse gases emissions Émissions de gaz à effet de serre dans l'agriculture NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2012,MEASURE=TOTAGR_LAND DEFAULT Agricultural land area Superficie des terres agricoles NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2012 DEFAULT Energy use Utilisation de l'énergie NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2012 DEFAULT Pesticides use Utilisation de pesticides NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=SOIL_EROSION NOT_DISPLAYED TIME_PERIOD_START=2012 DEFAULT Soil erosion Érosion des sols NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=TOTFRESHW DEFAULT Water use Utilisation de l'eau NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2010,WATER_TYPE=SW DEFAULT Water quality Qualité de l'eau NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2012,MEASURE=B0_H DEFAULT Nutrients balances Bilan des éléments nutritifs <p>The OECD database of nutrient balances provides the latest balances for 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging economies: Argentina, Brazil, People’s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam. The period shown spans 1985 to the most recent data available (varies by country). The database is compiled based on annual data collection by the OECD Secretariat for some countries and via collaboration with Eurostat, which collects statistics for all EU member states plus Norway and Switzerland. <p><p>The gross nutrient balances for nitrogen and phosphorus (N and P), expressed in tonnes, are calculated as the difference between the total quantity of nutrients entering an agricultural system (mainly as fertilisers and livestock manure) and the quantity of nutrients leaving the system (mainly via uptake by crops and grassland). The nutrient balance indicator can be used as a proxy to reveal the status of environmental pressures. A positive nutrient balance represents a nutrient surplus (inputs exceed outputs), which can lead to nutrient pollution of air and water resources. A negative nutrient balance represents a deficit (outputs exceed inputs), which can lead to degradation in soil fertility. The nutrient balance indicator is also reported on a per unit land area basis, in kilogrammes of nutrients per hectare of agricultural land. <p><p>For more information click on <a href= http://stats.oecd.org/wbos/fileview2.aspx?IDFile=fc286b6c-c339-C:\Users\takrouri-jolly_N\OneDrive - OECD\@statV8\working file\NutrientsBalances\link48e6-8620-a4c28f3a1c25> Gross nitrogen Balances.pdf </a><p><p>For more information click on this link <a href= http://stats.oecd.org/wbos/fileview2.aspx?IDFile=fc286b6c-c339-C:\Users\takrouri-jolly_N\OneDrive - OECD\@statV8\working file\NutrientsBalances\link48e6-8620-a4c28f3a1c25> Gross phosphorus Balances.pdf </a><p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C NOT_DISPLAYED TIME_PERIOD_START=2023 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Contribution of Budgetary Payments to change in Producer Support Estimate by country, 2022 to 2023 Contribution des Paiements Budgétaires aux variations de l'Estimation du Soutien aux Producteurs par pays, 2022 à 2023 <p>This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People’s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.</p> <p> This table presents the contribution of Budgetary Payments to change in Producer Support Estimate by country, 2022 to 2023. <p> <p>Cette base de données vient en complément du rapport Politiques agricoles : suivi et évaluation 2024. Ce document décrit l’évolution des politiques agricoles dans les 38 pays membres de l’OCDE, les 5 États de l’Union européenne qui ne sont pas membres de l’OCDE, et 11 économies émergentes ou en développement : Afrique du Sud, Argentine, Brésil, République populaire de Chine, Inde, Indonésie, Kazakhstan, Philippines, Fédération de Russie, Ukraine et Viet Nam.<p> <p> Ce tableau présente la contribution des paiements budgétaires à l'évolution de l'estimation du soutien aux producteurs par pays, 2022 à 2023. <p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C NOT_DISPLAYED TIME_PERIOD_START=2023 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Contribution to change in Border Price by country, 2022 to 2023 Contribution aux variations des prix à la frontière par pays, 2022 à 2023 <p>This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People’s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.</p> <p> This table presents the contribution to change in Border Price by country, 2022 to 2023. <p> <p>Cette base de données vient en complément du rapport Politiques agricoles : suivi et évaluation 2024. Ce document décrit l’évolution des politiques agricoles dans les 38 pays membres de l’OCDE, les 5 États de l’Union européenne qui ne sont pas membres de l’OCDE, et 11 économies émergentes ou en développement : Afrique du Sud, Argentine, Brésil, République populaire de Chine, Inde, Indonésie, Kazakhstan, Philippines, Fédération de Russie, Ukraine et Viet Nam.<p> <p> Ce tableau présente la contribution à la variation du prix à la frontière par pays, 2022 à 2023. <p> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C NOT_DISPLAYED TIME_PERIOD_START=2014 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Composition of General Services Support Estimate Composition de l'Estimation du soutien aux services d'intérêt général <p>This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People’s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.</p> <p> This table presents the composition of the General Services Support Estimate. <p> <p>Cette base de données vient en complément du rapport Politiques agricoles : suivi et évaluation 2024. Ce document décrit l’évolution des politiques agricoles dans les 38 pays membres de l’OCDE, les 5 États de l’Union européenne qui ne sont pas membres de l’OCDE, et 11 économies émergentes ou en développement : Afrique du Sud, Argentine, Brésil, République populaire de Chine, Inde, Indonésie, Kazakhstan, Philippines, Fédération de Russie, Ukraine et Viet Nam.<p> <p> Ce tableau présente la composition de l’estimation du soutien aux services d'intérêt général par pays.<p> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMMODITY LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C NOT_DISPLAYED TIME_PERIOD_START=2014,REF_AREA=OECD,COMMODITY=CPC_0115+CPC_0111+CPC_0112 DEFAULT COMMODITY:OECD.TAD.ARP:HCL_COMMODITY(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Single commodity indicators Indicateurs de produit individuel <p>This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People’s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.</p> <p> This table presents the core indicators of commodity-level data. <p> <p> The commodities used in this dataset have been reviewed and mapped to the Central Product Classification (CPC) Version 2.1 where relevant to facilitate international comparison. The mapping can be found <a href=https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/agricultural-policy-monitoring/psecse-mon2024-other/commodity-mapping.xlsx>here</a><p> <p>Cette base de données vient en complément du rapport Politiques agricoles : suivi et évaluation 2024. Ce document décrit l’évolution des politiques agricoles dans les 38 pays membres de l’OCDE, les 5 États de l’Union européenne qui ne sont pas membres de l’OCDE, et 11 économies émergentes ou en développement : Afrique du Sud, Argentine, Brésil, République populaire de Chine, Inde, Indonésie, Kazakhstan, Philippines, Fédération de Russie, Ukraine et Viet Nam.<p> <p> Ce tableau présente les principaux indicateurs au niveau des produits. <p> <p> Les produits utilisés dans cette base de données ont été examinés et cartographiés sur la Classification centrale des produits (CPC) version 2.1, le cas échéant, pour faciliter la comparaison internationale. La cartographie peut être trouvée <a href=https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/agricultural-policy-monitoring/psecse-mon2024-other/commodity-mapping.xlsx>ici</a><p> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C NOT_DISPLAYED TIME_PERIOD_START=2014 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Composition of Producer Support Estimate Composition de l'Estimation du soutien aux producteurs <p>This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People’s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.</p> <p> This table presents the composition of Producer Support Estimate by country. <p> <p>Cette base de données vient en complément du rapport Politiques agricoles : suivi et évaluation 2024. Ce document décrit l’évolution des politiques agricoles dans les 38 pays membres de l’OCDE, les 5 États de l’Union européenne qui ne sont pas membres de l’OCDE, et 11 économies émergentes ou en développement : Afrique du Sud, Argentine, Brésil, République populaire de Chine, Inde, Indonésie, Kazakhstan, Philippines, Fédération de Russie, Ukraine et Viet Nam.<p> <p> Ce tableau présente la composition de l'estimation du soutien aux producteurs par pays.<p> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C NOT_DISPLAYED TIME_PERIOD_START=2014 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Consumer Support Estimate (CSE) Estimation du soutien aux consommateurs (ESC) <p>This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People’s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.</p> <p> This table presents the core indicators of the Consumer Support Estimate (CSE). <p> <p>Cette base de données vient en complément du rapport Politiques agricoles : suivi et évaluation 2024. Ce document décrit l’évolution des politiques agricoles dans les 38 pays membres de l’OCDE, les 5 États de l’Union européenne qui ne sont pas membres de l’OCDE, et 11 économies émergentes ou en développement : Afrique du Sud, Argentine, Brésil, République populaire de Chine, Inde, Indonésie, Kazakhstan, Philippines, Fédération de Russie, Ukraine et Viet Nam.<p> <p> Ce tableau présente une sélection d'indicateurs de l’ estimation du soutien aux consommateurs par pays.<p> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C NOT_DISPLAYED TIME_PERIOD_START=2014 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée General Services Support Estimate (GSSE) Estimation du soutien aux services d'intérêt général (ESSG) <p>This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People’s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.</p> <p> This table presents the General Services Support Estimate (GSSE) by country. <p> <p>Cette base de données vient en complément du rapport Politiques agricoles : suivi et évaluation 2024. Ce document décrit l’évolution des politiques agricoles dans les 38 pays membres de l’OCDE, les 5 États de l’Union européenne qui ne sont pas membres de l’OCDE, et 11 économies émergentes ou en développement : Afrique du Sud, Argentine, Brésil, République populaire de Chine, Inde, Indonésie, Kazakhstan, Philippines, Fédération de Russie, Ukraine et Viet Nam.<p> <p> Ce tableau présente l’estimation du soutien aux services d'intérêt général par pays.<p> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMMODITY LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C NOT_DISPLAYED TIME_PERIOD_START=2014,REF_AREA=OECD,COMMODITY=CPC_EX_TO DEFAULT COMMODITY:OECD.TAD.ARP:HCL_COMMODITY(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Agricultural Policy Monitoring and Evaluation: all data Suivi et évaluation des politiques agricoles: toutes les données <p>This dataset and predefined summary tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People’s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.</p> <p>The OECD uses a comprehensive system for measuring and classifying support to agriculture - the Producer and Consumer Support Estimates (PSEs and CSEs) and related indicators. They provide insight into the increasingly complex nature of agricultural policy and serve as a basis for OECD&rsquo;s work on agricultural policies.</p> <p> The commodities used in this dataset have been reviewed and mapped to the Central Product Classification (CPC) Version 2.1 where relevant to facilitate international comparison. The mapping can be found <a href=https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/agricultural-policy-monitoring/psecse-mon2024-other/commodity-mapping.xlsx>here</a><p> <p>Cette base de données vient en complément du rapport Politiques agricoles : suivi et évaluation 2024. Ce document décrit l’évolution des politiques agricoles dans les 38 pays membres de l’OCDE, les 5 États de l’Union européenne qui ne sont pas membres de l’OCDE, et 11 économies émergentes ou en développement : Afrique du Sud, Argentine, Brésil, République populaire de Chine, Inde, Indonésie, Kazakhstan, Philippines, Fédération de Russie, Ukraine et Viet Nam.<p> <p>L’OCDE utilise un système cohérent de mesure et de classification du soutien agricole – les estimations du soutien aux producteurs et aux consommateurs (ESP et ESC), et indicateurs connexes. Ceux-ci offrent une bonne compréhension des politiques agricoles dont la complexité va croissant et servent de base à leur suivi et à leur évaluation.<p> <p> Les produits utilisés dans cette base de données ont été examinés et cartographiés sur la Classification centrale des produits (CPC) version 2.1, le cas échéant, pour faciliter la comparaison internationale. La cartographie peut être trouvée <a href=https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/agricultural-policy-monitoring/psecse-mon2024-other/commodity-mapping.xlsx>ici</a><p> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C NOT_DISPLAYED TIME_PERIOD_START=2014,REF_AREA=OECD,UNIT_MEASURE=USD+FCTR+IX+PT_B1GQ+PT_REC_FRM+PT_PROD_VAL+PT_SUPP_E_GN_SRV+PT_CSE_AGR_COM DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Estimates of Support to Agriculture Estimations du soutien à l'agriculture <p>This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People’s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.</p> <p> This table presents the core indicators of support for the agricultural sector by country.<p> <p>Cette base de données vient en complément du rapport Politiques agricoles : suivi et évaluation 2024. Ce document décrit l’évolution des politiques agricoles dans les 38 pays membres de l’OCDE, les 5 États de l’Union européenne qui ne sont pas membres de l’OCDE, et 11 économies émergentes ou en développement : Afrique du Sud, Argentine, Brésil, République populaire de Chine, Inde, Indonésie, Kazakhstan, Philippines, Fédération de Russie, Ukraine et Viet Nam.<p> <p> Ce tableau présente les principaux indicateurs de soutien au secteur agricole par pays.<p> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C NOT_DISPLAYED TIME_PERIOD_START=2014 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Characteristics of producer policy support Caractéristiques des politiques de soutien au producteur <p>This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People’s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.</p> <p> This table presents the characteristics of support for agricultural producers by country. <p> <p>Cette base de données vient en complément du rapport Politiques agricoles : suivi et évaluation 2024. Ce document décrit l’évolution des politiques agricoles dans les 38 pays membres de l’OCDE, les 5 États de l’Union européenne qui ne sont pas membres de l’OCDE, et 11 économies émergentes ou en développement : Afrique du Sud, Argentine, Brésil, République populaire de Chine, Inde, Indonésie, Kazakhstan, Philippines, Fédération de Russie, Ukraine et Viet Nam.<p> <p> Ce tableau présente les caractéristiques des politiques de soutien aux producteurs par pays.<p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C NOT_DISPLAYED TIME_PERIOD_START=2014 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Producer Support Estimate (PSE) Estimation du soutien aux producteurs (ESP) <p>This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People’s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.</p> <p> This table presents selected indicators of support for agricultural producers by country. <p> <p>Cette base de données vient en complément du rapport Politiques agricoles : suivi et évaluation 2024. Ce document décrit l’évolution des politiques agricoles dans les 38 pays membres de l’OCDE, les 5 États de l’Union européenne qui ne sont pas membres de l’OCDE, et 11 économies émergentes ou en développement : Afrique du Sud, Argentine, Brésil, République populaire de Chine, Inde, Indonésie, Kazakhstan, Philippines, Fédération de Russie, Ukraine et Viet Nam.<p> <p> Ce tableau présente une sélection d'indicateurs de soutien aux producteurs agricoles par pays.<p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C NOT_DISPLAYED TIME_PERIOD_START=2023 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Contribution to change in Producer Support Estimate by country, 2022 to 2023 Contribution aux variations de l'Estimation du Soutien aux Producteurs par pays, 2022 à 2023 <p>This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People’s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.</p> <p> This table presents the contribution to change in Producer Support Estimate by country, 2022 to 2023. <p> <p>Cette base de données vient en complément du rapport Politiques agricoles : suivi et évaluation 2024. Ce document décrit l’évolution des politiques agricoles dans les 38 pays membres de l’OCDE, les 5 États de l’Union européenne qui ne sont pas membres de l’OCDE, et 11 économies émergentes ou en développement : Afrique du Sud, Argentine, Brésil, République populaire de Chine, Inde, Indonésie, Kazakhstan, Philippines, Fédération de Russie, Ukraine et Viet Nam.<p> <p> Ce tableau présente la contribution au changement dans l'estimation du soutien aux producteurs par pays, 2022 à 2023. <p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ=A,OBS_STATUS=A,MEASURE=_PSE_I+_PSE_D1+_GSSE_I+_CSE_I+_TSE_I+_PSE_C+_GSSE_C NOT_DISPLAYED TIME_PERIOD_START=2014 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Total Support Estimate (TSE) Estimation du soutien total (EST) <p>This dataset is a complement to the report Agricultural Policy Monitoring and Evaluation 2024, which monitors agricultural policy developments in 38 OECD member countries, 5 non-OECD European Union member states and 11 emerging and developing economies: Argentina, Brazil, People’s Republic of China, India, Indonesia, Kazakhstan, the Philippines, the Russian Federation, South Africa, Ukraine and Viet Nam.</p> <p> This table presents selected indicators for the Total Support Estimate (TSE) by country. <p> <p>Cette base de données vient en complément du rapport Politiques agricoles : suivi et évaluation 2024. Ce document décrit l’évolution des politiques agricoles dans les 38 pays membres de l’OCDE, les 5 États de l’Union européenne qui ne sont pas membres de l’OCDE, et 11 économies émergentes ou en développement : Afrique du Sud, Argentine, Brésil, République populaire de Chine, Inde, Indonésie, Kazakhstan, Philippines, Fédération de Russie, Ukraine et Viet Nam.<p> <p> Ce tableau présente une sélection d'indicateurs pour l’estimation du soutien total (EST) par pays.<p> NonProductionDataflow true DOMAIN LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,WORK_STATUS LAYOUT_ROW_SECTION OBS_STATUS,CONF_STATUS LAYOUT_FLAG OBS_STATUS=A,CONF_STATUS=F,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,WORK_STATUS=_T DEFAULT SEX:OECD.TAD.ARP:HCL_SEX(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:CONVENTION,UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Employment in fisheries, aquaculture and processing Emploi dans le secteur de la pêche, de l'aquaculture et de la transformation This dataset contains information on the number of fishers (marine coastal, marine deep-sea, inland, subsistence), fish farmers, and fish processors working in each country. Data are broken down by working status (part-time, full-time, occasional) and sex. <ul>   <li><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f70405c6-e7cb-49c3-ae47-b6fb3f0bc5b6"> Employment in fisheries, aquaculture and processing - General notes</a></li></ul> <ul>   <li><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=75935a49-e3fc-4e86-a6e8-2d5f33a6b20d"> Employment in fisheries, aquaculture and processing - Notes on individual countries and areas</a></li></ul> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FLEET_SIZE,MEASURE LAYOUT_ROW_SECTION OBS_STATUS,CONF_STATUS LAYOUT_FLAG OBS_STATUS=A,CONF_STATUS=F,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2010,FLEET_SIZE=_T,MEASURE=VES,UNIT_MEASURE=VS DEFAULT COMBINED_UNIT_MEASURE:CONVENTION,UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Fishing fleet Flotte de pêche The dataset covers the number and gross tonnage of national active fishing vessels—vessels that, at the time of reporting, are active and engaged solely in catching operations. This includes all types of vessels: industrial and artisanal, motorized and unmotorized, decked and undecked, fishing in marine and inland waters. Data are broken down by length classes, expressed in meters.The unit of measure ‘Vessels’ should be read as ‘Number of vessels’. <ul>   <li><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8e570c74-257c-42c3-b675-cccc1d2060bd"> Fishing fleet - General notes</a></li></ul> <ul>   <li><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=658ab159-3be2-46f0-bb92-5817554a2ab9"> Fishing fleet - Notes on individual countries and areas</a></li></ul> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SPECIES LAYOUT_ROW_SECTION OBS_STATUS,CONF_STATUS LAYOUT_FLAG OBS_STATUS=A,CONF_STATUS=F,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2010,SPECIES=_T,UNIT_MEASURE=T DEFAULT COMBINED_UNIT_MEASURE:CONVENTION,UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Aquaculture production Production aquicole This dataset covers annual series of aquaculture production in volume and value, expressed respectively in live weight tonnes and US dollars. Aquaculture involves the farming of aquatic organisms, including fish, molluscs, crustaceans, and aquatic plants. <ul>   <li><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a1fddce1-1da2-4899-aa99-b040e5fb541f"> Aquaculture production - General notes</a></li></ul> <ul>   <li><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2ef7da21-8c87-4345-8202-6b2e120c3a07"> Aquaculture production - Notes on individual countries and areas</a></li></ul> NonProductionDataflow true OBS_STATUS,CONF_STATUS LAYOUT_FLAG OBS_STATUS=A,CONF_STATUS=F,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2010,SPECIES=_T DEFAULT COMBINED_UNIT_MEASURE:CONVENTION,UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Inland fisheries Pêche dans les eaux intérieures This dataset presents data on nominal catches of all aquatic animals (fish, crustaceans, molluscs, and other aquatic animals), animal products, and plants taken for commercial, industrial, recreational, and subsistence purposes from inland waters. Data are expressed in live weight tonnes. <ul>   <li><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=36f4684b-e738-472a-87a9-cbcdfa713d5e"> Inland fisheries - General notes</a></li></ul> <ul>   <li><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=22f28770-36a6-4ae3-af60-64b418b486c4"> Inland fisheries - Notes on individual countries and areas</a></li></ul> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SPECIES LAYOUT_ROW_SECTION OBS_STATUS,CONF_STATUS LAYOUT_FLAG OBS_STATUS=A,CONF_STATUS=F,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=LAND_MARINE,SPECIES=_T,UNIT_MEASURE=T DEFAULT COMBINED_UNIT_MEASURE:CONVENTION,UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Marine landings Débarquements maritimes This dataset presents data on the volume and value of all aquatic animals (fish, crustaceans, molluscs, and other aquatic animals), animal products, and plants landed in national and foreign ports. The data are expressed in terms of landed tonnes, national currency, and US dollars. <ul>   <li><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a985ed74-caf5-434d-814a-e05e5409ebcd"> Marine landings - General notes</a></li></ul> <ul>   <li><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dc4b30b0-adf4-4875-89da-73b7fbf7869d"> Marine landings - Notes on individual countries and areas</a></li></ul> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMMODITY,FLOW LAYOUT_ROW_SECTION OBS_STATUS,CONF_STATUS LAYOUT_FLAG OBS_STATUS=A,CONF_STATUS=F,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2010,COMMODITY=_T DEFAULT TRADE_FLOW:OECD.TAD.ARP:HCL_TRADE_FLOW(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:CONVENTION,UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure International trade of fisheries commodities Commerce international des produits de la pêche This dataset presents statistics on world annual international trade of fishery and aquaculture products. It includes all aquatic animals (fish, crustaceans, molluscs, and other aquatic animals), algae (macroalgae, microalgae, and Cyanobacteria) and other aquatic products (e.g. corals and sponges) with the exception of data on aquatic mammals, reptiles, amphibians, turtles, and miscellaneous aquatic products. Data are expressed in US dollars. <ul>   <li><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=35be40ee-8d56-4907-aae8-99313aec8d5a"> International trade of fisheries commodities - General notes</a></li></ul> <ul>   <li><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2dc91c33-1800-4885-9065-d7ddaf6da5a4"> International trade of fisheries commodities - Notes on individual countries and areas</a></li></ul> NonProductionDataflow true REF_AREA,MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMMODITY LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,VERSION_ID NOT_DISPLAYED REF_AREA=OECD,COMMODITY=CPC_0111,TIME_PERIOD_START=2010,TIME_PERIOD_END=2030 DEFAULT UNIT_MEASURE,CONVENTION,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.TAD.ATM:HCL_AREA(1.0).H,COMMODITY:OECD.TAD.ATM:HCL_CPC(1.0).H_EN HIER_CONTEXT 10000 MAX_TABLE_DATA COMBINED_UNIT_MEASURE:UNIT_MEASURE,CONVENTION,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Combined unit of measure OECD-FAO Agricultural Outlook 2021-2030 Perspectives Agricoles de l’OCDE et de la FAO 2021-2030 The Agricultural Outlook has been prepared as a joint report by the Organisation for Economic Co-operation and Development (OECD) and the Food and Agriculture Organization (FAO) of the United Nations. The report provides a ten year forward looking, assessment of trends and prospects in the major temperate-zone agricultural commodity markets of biofuels, cereals, oilseeds and oilseed products, sugar, meat, fish and sea food, dairy products, cotton, roots and tubers and pulses. It is published annually, in the middle of the second quarter, as part of a continuing effort to promote informed discussion of emerging market and policy issues. The data used to develop the projections underlying the assessment are those available as of January 2020.<br /><br />The projections and assessments provided in the report are the result of close co-operation between the OECD and FAO Secretariats and national experts with a jointly developed modelling system, based on the AGLINK-COSIMO model, used to facilitate consistency in the projections. The data series for the projections are drawn from OECD and FAO databases. For the most part information in these databases has been taken from national statistical sources. For further details on particular series, enquiries should be directed to the OECD and FAO Secretariats.<br /><br />Generally for the period 1990-2030, the following countries/regions are covered : Canada, United States, European Union (Refers to all current European Union member States except the United Kingdom), United Kingdom, Norway, Switzerland, Russia, Ukraine, Australia, New Zealand, Japan, South Africa, Egypt, Ethiopia, Nigeria, Argentina, Brazil, Chile, Colombia, Mexico, Paraguay, China, Kazakhstan, India, Indonesia, Iran, Korea, Malaysia, Pakistan, Philippines, Saudi Arabia, Thailand, Turkey, Viet Nam as well as a number of aggregate regions: Asia, Africa, Europe, Latin America, North America, Oceania, OECD, BRICS, Developing, Developped and World totals. NonProductionDataflow true REF_AREA,MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMMODITY LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,VERSION_ID NOT_DISPLAYED REF_AREA=OECD,COMMODITY=CPC_0111,TIME_PERIOD_START=2010,TIME_PERIOD_END=2031 DEFAULT UNIT_MEASURE,CONVENTION,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.TAD.ATM:HCL_AREA(1.0).H,COMMODITY:OECD.TAD.ATM:HCL_CPC(1.0).H_EN HIER_CONTEXT 10000 MAX_TABLE_DATA COMBINED_UNIT_MEASURE:UNIT_MEASURE,CONVENTION,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Combined unit of measure OECD-FAO Agricultural Outlook 2022-2031 Perspectives Agricoles de l’OCDE et de la FAO 2022-2031 The Agricultural Outlook has been prepared as a joint report by the Organisation for Economic Co-operation and Development (OECD) and the Food and Agriculture Organization (FAO) of the United Nations. The report provides a ten year forward looking, assessment of trends and prospects in the major temperate-zone agricultural commodity markets of biofuels, cereals, oilseeds and oilseed products, sugar, meat, fish and sea food, dairy products, cotton, roots and tubers and pulses. It is published annually, in the middle of the second quarter, as part of a continuing effort to promote informed discussion of emerging market and policy issues. The data used to develop the projections underlying the assessment are those available as of January 2021.<br /><br />The projections and assessments provided in the report are the result of close co-operation between the OECD and FAO Secretariats and national experts with a jointly developed modelling system, based on the AGLINK-COSIMO model, used to facilitate consistency in the projections. The data series for the projections are drawn from OECD and FAO databases. For the most part information in these databases has been taken from national statistical sources. For further details on particular series, enquiries should be directed to the OECD and FAO Secretariats.<br /><br />Generally for the period 1990-2031, the following countries/regions are covered : Canada, United States, European Union (Refers to all current European Union member States except the United Kingdom), United Kingdom, Norway, Switzerland, Russia, Ukraine, Australia, New Zealand, Japan, South Africa, Egypt, Ethiopia, Nigeria, Argentina, Brazil, Chile, Colombia, Mexico, Paraguay, China, Kazakhstan, India, Indonesia, Iran, Korea, Malaysia, Pakistan, Philippines, Saudi Arabia, Thailand, Turkey, Viet Nam as well as a number of aggregate regions: Asia, Africa, Europe, Latin America, North America, Oceania, OECD, BRICS, Developing, Developped and World totals NonProductionDataflow true REF_AREA,MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMMODITY LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,VERSION_ID NOT_DISPLAYED REF_AREA=OECD,COMMODITY=CPC_0111,TIME_PERIOD_START=2010,TIME_PERIOD_END=2032 DEFAULT UNIT_MEASURE,CONVENTION,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.TAD.ATM:HCL_AREA(1.1).H,COMMODITY:OECD.TAD.ATM:HCL_CPC(1.1).H HIER_CONTEXT 10000 MAX_TABLE_DATA COMBINED_UNIT_MEASURE:UNIT_MEASURE,CONVENTION,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Measure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée OECD-FAO Agricultural Outlook 2023-2032 Perspectives Agricoles de l’OCDE et de la FAO 2023-2032 The Agricultural Outlook has been prepared as a joint report by the Organisation for Economic Co-operation and Development (OECD) and the Food and Agriculture Organization (FAO) of the United Nations. The report provides a ten year forward looking, assessment of trends and prospects in the major temperate-zone agricultural commodity markets of biofuels, cereals, oilseeds and oilseed products, sugar, meat, fish and sea food, dairy products, cotton, roots and tubers and pulses. It is published annually, in the middle of the second quarter, as part of a continuing effort to promote informed discussion of emerging market and policy issues. The data used to develop the projections underlying the assessment are those available as of January 2023.<br /><br />The projections and assessments provided in the report are the result of close co-operation between the OECD and FAO Secretariats and national experts with a jointly developed modelling system, based on the AGLINK-COSIMO model, used to facilitate consistency in the projections. The data series for the projections are drawn from OECD and FAO databases. For the most part information in these databases has been taken from national statistical sources. For further details on particular series, enquiries should be directed to the OECD and FAO Secretariats.<br /><br />Generally for the period 1990-2032, the following countries/regions are covered : Canada, United States, European Union (Refers to all current European Union member States except the United Kingdom), United Kingdom, Norway, Switzerland, Russia, Ukraine, Australia, New Zealand, Japan, South Africa, Egypt, Ethiopia, Nigeria, Argentina, Brazil, Chile, Colombia, Mexico, Paraguay, China, Kazakhstan, India, Indonesia, Iran, Korea, Malaysia, Pakistan, Philippines, Saudi Arabia, Thailand, Turkey, Viet Nam as well as a number of aggregate regions: Asia, Africa, Europe, Latin America, North America, Oceania, OECD, Developing, Developped and World totals NonProductionDataflow true REF_AREA,MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COMMODITY LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A,VERSION_ID NOT_DISPLAYED REF_AREA=OECD,COMMODITY=CPC_0111,TIME_PERIOD_START=2010,TIME_PERIOD_END=2033 DEFAULT UNIT_MEASURE,CONVENTION,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.TAD.ATM:HCL_AREA(1.1).H,COMMODITY:OECD.TAD.ATM:HCL_CPC(1.2).H HIER_CONTEXT 10000 MAX_TABLE_DATA COMBINED_UNIT_MEASURE:UNIT_MEASURE,CONVENTION,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Measure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée OECD-FAO Agricultural Outlook 2024-2033 Perspectives Agricoles de l’OCDE et de la FAO 2024-2033 The Agricultural Outlook has been prepared as a joint report by the Organisation for Economic Co-operation and Development (OECD) and the Food and Agriculture Organization (FAO) of the United Nations. The report provides a ten year forward looking, assessment of trends and prospects in the major temperate-zone agricultural commodity markets of biofuels, cereals, oilseeds and oilseed products, sugar, meat, fish and sea food, dairy products, cotton, roots and tubers and pulses. It is published annually, in the middle of the second quarter, as part of a continuing effort to promote informed discussion of emerging market and policy issues. The data used to develop the projections underlying the assessment are those available as of January 2024.<br /><br />The projections and assessments provided in the report are the result of close co-operation between the OECD and FAO Secretariats and national experts with a jointly developed modelling system, based on the AGLINK-COSIMO model, used to facilitate consistency in the projections. The data series for the projections are drawn from OECD and FAO databases. For the most part information in these databases has been taken from national statistical sources. For further details on particular series, enquiries should be directed to the OECD and FAO Secretariats.<br /><br />Generally for the period 1990-2033, the following countries/regions are covered : Canada, United States, European Union (Refers to all current European Union member States countries), United Kingdom, Norway, Switzerland, Russia, Ukraine, Australia, New Zealand, Japan, South Africa, Egypt, Ethiopia, Nigeria, Argentina, Brazil, Chile, Colombia, Mexico, Paraguay, China, Kazakhstan, India, Indonesia, Iran, Korea, Malaysia, Pakistan, Philippines, Saudi Arabia, Thailand, Turkey, Viet Nam as well as a number of aggregate regions: Asia, Africa, Europe, Latin America, North America, Oceania, OECD, Developing, Developped and World totals Les Perspectives agricoles sont un rapport conjoint de l'Organisation de coopération et de développement économiques (OCDE) et de l'Organisation des Nations Unies pour l'alimentation et l'agriculture (FAO). Le rapport fournit une évaluation des tendances et des perspectives sur dix ans pour les principaux marchés de produits agricoles de la zone tempérée : biocarburants, céréales, oléagineux et produits oléagineux, sucre, viande, poisson et produits de la mer, produits laitiers, coton, racines et tubercules et légumineuses. Il est publié chaque année, au milieu du deuxième trimestre, dans le cadre d'un effort continu visant à promouvoir une discussion approfondie sur les marchés émergents et les questions politiques. Les données utilisées pour développer les projections sur lesquelles repose l'évaluation sont celles disponibles en janvier 2024.<br /><br /> Les projections et les évaluations fournies dans le rapport sont le résultat d'une coopération étroite entre les Secrétariats de l'OCDE et de la FAO et les experts nationaux, avec un modèle développé conjointement, basé sur le modèle AGLINK-COSIMO, utilisé pour faciliter la cohérence des projections. Les séries de données utilisées pour les projections proviennent des bases de données de l'OCDE et de la FAO. La plupart des informations contenues dans ces bases de données proviennent de sources statistiques nationales. Pour plus de détails sur des séries particulières, les demandes de renseignements doivent être adressées aux secrétariats de l'OCDE et de la FAO.<br /><br /> Pour la période 1990-2033, les pays/régions suivants sont pris en compte : Canada, États-Unis, Union européenne (Tous les pays membres actuels de l'Union européenne), Royaume-Uni, Norvège, Suisse, Russie, Ukraine, Australie, Nouvelle-Zélande, Japon, Afrique du Sud, Égypte, Éthiopie, Nigeria, Argentine, Brésil, Chili, Colombie, Mexique, Paraguay, Chine, Kazakhstan, Inde, Indonésie, Iran, Corée, Malaisie, Pakistan, Philippines, Arabie saoudite, Thaïlande, Turquie, Viêt Nam, ainsi qu'un certain nombre de régions agrégées : Asie, Afrique, Europe, Amérique latine, Amérique du Nord, Océanie, OCDE, pays en développement, pays développés et totaux mondiaux. NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0 NOT_DISPLAYED Digital Services Trade Restrictiveness Index Indices de restriction sur les échanges de services numériques <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>The OECD Digital STRI identifies, catalogues and quantifies barriers that affect trade in digitally enabled services across 91 countries. It provides policy makers with an evidence-based tool that helps to identify regulatory bottlenecks, design policies that foster more competitive and diversified markets for digital trade, and analyze the impact of policy reforms. The OECD Digital STRI captures cross-cutting impediments that affect all types of services traded digitally. As a stand-alone instrument, it complements the OECD Services Trade Restrictiveness Index (STRI). </p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><strong>A zip file containing the OECD Digital STRI indices for all countries available over 2014-2024 can be downloaded here: <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1b91bd67-5249-4949-b666-44549a906211>OECD Digital STRI 2024</a></strong></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>L’indice de restrictivité des échanges de services numériques (IRES numérique) de l’OCDE identifie, catalogue et quantifie les obstacles qui affectent l’échange des services numériquement activés dans 91 pays. Il fournit aux décideurs politiques un outil basé sur des preuves qui aide à identifier les goulets d’étranglement réglementaires, à concevoir des politiques favorisant des marchés plus compétitifs et diversifiés pour le commerce numérique, et à analyser l’impact des réformes politiques. L’IRES numérique de l’OCDE capture les obstacles transversaux qui affectent tous les types de services échangés numériquement. En tant qu’instrument autonome, il complète l’Indice de Restriction des Échanges des Services (IRES) de l’OCDE.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><strong>Un fichier zip contenant les indices IRES numériques pour tous les pays disponibles sur la p&eacute;riode 2014-2024 peut &ecirc;tre t&eacute;l&eacute;charg&eacute; ici :<a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1b91bd67-5249-4949-b666-44549a906211>OECD Digital STRI 2024</a></strong></p> NonProductionDataflow true METHODOLOGY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COUNTERPART_AREA LAYOUT_ROW_SECTION UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,REF_AREA=AUS DEFAULT Digital STRI Heterogeneity Indices Indices hétérogènes de restriction sur les échanges de services numériques <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>The OECD Digital STRI heterogeneity indices complement the existing Digital STRI's and presents indices of regulatory heterogeneity based on the rich information in the Digital STRI regulatory database. The indices are built from assessing – for each country pair and each measure – whether or not the countries have the same regulation. For each country pair and each sector, the indices reflect the (weighted) share of measures for which the two countries have different regulation.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><strong>A zip file containing the STRI indices for all countries and sectors available over 2014-2024 can be downloaded here: <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a>https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a</a></strong></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>L’indice de restrictivité des échanges de services numériques (IRES numérique) identifie, catalogue et quantifie les barrières rencontrées par les services échangées numériquement dans 91 pays. Il constitue un outil de diagnostic sans pareil permettant aux pays de discerner rapidement où se situent les restrictions atypiques et les éventuels blocages, d'élaborer des politiques pour des marchés plus compétitifs et diversifiés pour les échanges numériques des services et d'analyser l'impact de ces réformes. En tant qu'instrument indépendant, il complète l'Indice de Restrcitivité des Echanges de Services de l'OCDE.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><strong>Un fichier zip contenant les indices IRES pour tous les pays et secteurs disponibles sur la p&eacute;riode 2014-2024 peut &ecirc;tre t&eacute;l&eacute;charg&eacute; ici :<a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a>https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a</a></strong></p> NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COUNTERPART_AREA,METHODOLOGY LAYOUT_ROW_SECTION UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2019 DEFAULT STRI Heterogeneity Indices Indices hétérogènes de restriction sur les échanges de services <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>The OECD STRI heterogeneity indices complement the existing STRI's and presents indices of regulatory heterogeneity based on the rich information in the STRI regulatory database. The indices are built from assessing – for each country pair and each measure – whether or not the countries have the same regulation. For each country pair and each sector, the indices reflect the (weighted) share of measures for which the two countries have different regulation.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><strong>A zip file containing the STRI indices for all countries and sectors available over 2014-2024 can be downloaded here: <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a>https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a</a></strong></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>Les indices d'hétérogénéité de l'IRES de l'OCDE complètent les IRES existants en présentant des indices d'hétérogénéité réglementaire basés sur les informations riches de la base de données réglementaires de l'IRES. Ces indices sont construits en évaluant, pour chaque paire de pays et chaque mesure, si les pays ont la même réglementation. Pour chaque paire de pays et chaque secteur, les indices reflètent la part (pondérée) des mesures pour lesquelles les deux pays ont des réglementations différentes.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><strong>Un fichier zip contenant les indices IRES pour tous les pays et secteurs disponibles sur la p&eacute;riode 2014-2024 peut &ecirc;tre t&eacute;l&eacute;charg&eacute; ici :<a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a>https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a</a></strong></p> NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2019 DEFAULT Intra-EEA Services Trade Restrictiveness Index Indices hétérogènes de restriction sur les échanges de services <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>The intra-EEA Services Trade Restrictiveness Index identifies and catalogues which policy measures restrict trade within the European Economic Area (EEA) for 24 OECD EU member countries (25 up to 2020). It complements the existing STRI, which quantifies multilateral services trade restrictiveness, allowing to track the progress of regional services integration across 22 services sectors.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><strong>A zip file containing the STRI indices for all countries and sectors available over 2014-2024 can be downloaded here: <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cd55e30f-7786-4d95-8058-3cac3074126b>OECD INTREEA STRI 2014-2024</a></strong></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>L'Indice de Restrictivité des Echanges de Services identifie et catalogue les mesures réglementaires qui restreignent les échanges de services au sein de l'Espace Economique Européen (EEE) pour 24 pays membres de l'OCDE et de l'EEE (25 jusqu'en 2020). Il complète l'IRES déjà existant qui quantifie la restrictivité dans les échanges de services multilatéraux, permettant de suivre les progrès de l'intégration régionale dans 22 secteurs de services.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><strong>Un fichier zip contenant les indices IRES pour tous les pays et secteurs disponibles sur la p&eacute;riode 2014-2024 peut &ecirc;tre t&eacute;l&eacute;charg&eacute; ici :<a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cd55e30f-7786-4d95-8058-3cac3074126b>OECD INTREEA STRI 2014-2024</a></strong></p> NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN COUNTERPART_AREA,METHODOLOGY LAYOUT_ROW_SECTION UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2019 DEFAULT Intra-EEA STRI Heterogeneity Indices Indices de restriction sur les échanges de services Intra-EEE <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>The OECD intra-EEA STRI heterogeneity indices complement the existing intra-EEA STRI's and presents indices of regulatory heterogeneity based on the rich information in the intra-EEA STRI regulatory database. The indices are built from assessing – for each country pair and each measure – whether or not the countries have the same regulation. For each country pair and each sector, the indices reflect the (weighted) share of measures for which the two countries have different regulation.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><strong>A zip file containing the STRI indices for all countries and sectors available over 2014-2024 can be downloaded here: <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a>https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a</a></strong></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>Les indices IRES hétérogènes intra-EEE de l'OCDE complètent les indices IRES intra-EEE récemment publiés en utilisant l'information très riche se trouvant dans la base réglementaire IRES intra-EEE. Les indices sont construits en déterminant pour chaque paire de pays et pour chaque mesure si ces deux pays ont des réglementations similaires. Pour chaque paire de pays par secteur, les indices reflètent la part pondérée des mesures pour lesquels deux pays ont des réglementations qui diffèrent.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><strong>Un fichier zip contenant les indices IRES pour tous les pays et secteurs disponibles sur la p&eacute;riode 2014-2024 peut &ecirc;tre t&eacute;l&eacute;charg&eacute; ici :<a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a>https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a44489e3-f98d-4713-bcf1-bde86f3e6f9a</a></strong></p> NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2019 DEFAULT Services Trade Restrictiveness Index by services sector Indices de restriction sur les échanges de services par secteur <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>The OECD STRI is a unique, evidence-based tool that collects information on services trade restrictions across 22 services sectors. The project has two distinct but complementary instruments: a services trade regulatory database and a services trade restrictiveness index. Based on the qualitative information in the database, composite indices quantify the identified restrictions across five standard policy categories, with values between zero and one. Complete openness to trade and investment gives a score of zero, while being completely closed to foreign services providers yields a score of one. This dataset presents a breakdown by economic activity at group- (3-digit) level of International Standard Industrial Classification, Revision 4 (ISIC Rev.4): ISIC Rev. 4.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><strong>A zip file containing the STRI indices for all countries and sectors available over 2014-2024 can be downloaded here: <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a9678e8d-8d20-4a77-acb5-1eba4683f95a>OECD STRI 2024</a></strong></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>L&rsquo;indice de restrictivit&eacute; des &eacute;changes de services (IRES) de l&apos;OCDE est un outil unique, bas&eacute; sur des preuves, qui collecte des informations sur les restrictions au commerce des services dans 22 secteurs de services. Le projet comprend deux instruments distincts mais compl&eacute;mentaires : une base de donn&eacute;es r&eacute;glementaires sur le commerce des services et un indice de restrictivit&eacute; du commerce des services. Bas&eacute;s sur les informations qualitatives de la base de donn&eacute;es, des indices composites quantifient les restrictions identifi&eacute;es dans cinq cat&eacute;gories de politiques standard, avec des valeurs comprises entre z&eacute;ro et un. Une ouverture totale au commerce et &agrave; l&apos;investissement donne un score de z&eacute;ro, tandis qu&apos;une fermeture compl&egrave;te aux prestataires de services &eacute;trangers donne un score de un. &nbsp;Ce jeu de donn&eacute;es pr&eacute;sente une ventilation par activit&eacute; &eacute;conomique au niveau du groupe (3 chiffres) de la Classification internationale type par industrie, R&eacute;vision 4 (CITI Rev.4).</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><strong>Un fichier zip contenant les indices IRES pour tous les pays et secteurs disponibles sur la p&eacute;riode 2014-2024 peut &ecirc;tre t&eacute;l&eacute;charg&eacute; ici :<a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a9678e8d-8d20-4a77-acb5-1eba4683f95a>OECD STRI 2024</a></strong></p> NonProductionDataflow true UNIT_MEASURE,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2023,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE,STRI_REGULATORY_MEASURE=6_1_1+6_2_1+6_3_1+6_4_1 DEFAULT Digital Services Trade Restrictiveness Index Regulatory Database Base de données réglementaires de l'indice de restriction sur les échanges de services numériques <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:18.0pt;font-size:15px;font-family:"Calibri",sans-serif;text-align:justify;'>The Digital Services Trade Restrictiveness Index database identifies and catalogues barriers that affect trade in digitally enabled services across 91 countries and economies. The STRI indicators and database have been updated to 2024. The entries in the database are documented with reference to the sources.</p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:18.0pt;font-size:15px;font-family:"Calibri",sans-serif;text-align:justify;'>The policy measures are categorised under five policy areas:</p><ul style="list-style-type: square;"><li><span style='font-family:"Times New Roman";'>Infrastructure and connectivity</span></li><li><span style='font-family:"Times New Roman";'>Electronic transactions</span></li><li><span style='font-family:"Times New Roman";'>Payment systems</span></li><li><span style='font-family:"Times New Roman";'>Intellectual property rights</span></li><li><span style='font-family:"Times New Roman";'>Other barriers affecting trade in digitally enabled services.</span></li></ul><p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:18.0pt;font-size:15px;font-family:"Calibri",sans-serif;text-align:justify;'>Regulatory data for the following countries was collected in collaboration with:</p><ul style="list-style-type: square;"><li><span style='font-family:"Times New Roman";'>the UN Economic Commission for Latin America and the Caribbean: Argentina; Bolivia; Dominican Republic; Ecuador; Guatemala; Honduras; Nicaragua; Panama; Paraguay; El Salavador; Uruguay.</span></li><li><span style='font-family:"Times New Roman";'>the UN Economic and Social Commission for Asia and the Pacific: Brunei Darussalam; Cambodia; Lao PDR; Hong-Kong, China; Nepal; Pakistan; Vanuatu.</span</li><li><span style='font-family:"Times New Roman";'>the UN Economic Commission for Africa: Cameroon; Ethiopia; Eswatini; Gambia (the); Kenya; Lesotho; Madagascar; Mali; Rwanda; Senegal; Seychelles; Togo; Uganda; Zambia; Zimbabwe.</span></li><li><span style='font-family:"Times New Roman";'>the OECD Global Relations Secretariat South East Europe Division: Albania; Bosnia and Herzegovina; Montenegro; North Macedonia; Serbia; Kosovo*.<p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><strong>A zip file containing the STRI indices for all countries and sectors available over 2014-2024 can be downloaded here: <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1b91bd67-5249-4949-b666-44549a906211>OECD Digital STRI Regulatory Database 2014-2024</a></strong></p></span></li></ul><p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:18.0pt;font-size:15px;font-family:"Calibri",sans-serif;text-align:justify;'>Note: OECD is not responsible for the content or availability of external websites.</p></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:18.0pt;font-size:15px;font-family:"Calibri",sans-serif;text-align:justify;'>The Digital Services Trade Restrictiveness Index database identifies and catalogues barriers that affect trade in digitally enabled services across 90 countries and economies. The STRI indicators and database have been updated to 2023. The entries in the database are documented with reference to the sources.</p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:18.0pt;font-size:15px;font-family:"Calibri",sans-serif;text-align:justify;'>The policy measures are categorised under five policy areas:</p><ul style="list-style-type: square;"><li><span style='font-family:"Times New Roman";'>Infrastructure and connectivity</span></li><li><span style='font-family:"Times New Roman";'>Electronic transactions</span></li><li><span style='font-family:"Times New Roman";'>Payment systems</span></li><li><span style='font-family:"Times New Roman";'>Intellectual property rights</span></li><li><span style='font-family:"Times New Roman";'>Other barriers affecting trade in digitally enabled services.</span></li></ul><p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:18.0pt;font-size:15px;font-family:"Calibri",sans-serif;text-align:justify;'>Regulatory data for the following countries was collected in collaboration with:</p><ul style="list-style-type: square;"><li><span style='font-family:"Times New Roman";'>the UN Economic Commission for Latin America and the Caribbean: Argentina; Bolivia; Dominican Republic; Ecuador; Guatemala; Honduras; Nicaragua; Panama; Paraguay; El Salavador; Uruguay.</span></li><li><span style='font-family:"Times New Roman";'>the UN Economic and Social Commission for Asia and the Pacific: Brunei Darussalam; Cambodia; Lao PDR; Hong-Kong, China; Nepal; Pakistan; Vanuatu.</span</li><li><span style='font-family:"Times New Roman";'>the UN Economic Commission for Africa: Cameroon; Ethiopia; Eswatini; Gambia (the); Kenya; Lesotho; Madagascar; Mali; Rwanda; Senegal; Seychelles; Uganda; Zambia; Zimbabwe.</span></li><li><span style='font-family:"Times New Roman";'>the OECD Global Relations Secretariat South East Europe Division: Albania; Bosnia and Herzegovina; Montenegro; North Macedonia; Serbia; Kosovo*.<p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><strong>A zip file containing the STRI indices for all countries and sectors available over 2014-2024 can be downloaded here: <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1b91bd67-5249-4949-b666-44549a906211>OECD Digital STRI Regulatory Database 2014-2024</a></strong></p></span></li></ul><p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:18.0pt;font-size:15px;font-family:"Calibri",sans-serif;text-align:justify;'>Note: OECD is not responsible for the content or availability of external websites.</p></p> NonProductionDataflow true UNIT_MEASURE,UNIT_MULT=0 NOT_DISPLAYED ACTIVITY=F,TIME_PERIOD_START=2023,STRI_REGULATORY_MEASURE=1_1_1+1_1_3+1_1_4+1_2_1 DEFAULT Intra-EEA Services Trade Restrictiveness Index Regulatory Database Base de données réglementaires de l'indice de restriction sur les échanges de services Intra-EEE The intra-EEA Services Trade Restrictiveness Index identifies and catalogues which policy measures restrict trade within the European Economic Area (EEA) for 24 OECD EU member countries. It complements the existing STRI, which quantifies multilateral services trade restrictiveness, allowing to track the progress of regional services integration in 22  sectors (transport, financial, professional, logistics, audiovisual, construction, telecommunications, distribution, computer). The STRI indicators and database have been updated to 2023 for all sectors. The update also involves further harmonisation of measures across sectors and sharpening some of the measures. The entries in the database are documented with reference to the sources. Note: OECD is not responsible for the content or availability of external websites. The intra-EEA Services Trade Restrictiveness Index identifies and catalogues which policy measures restrict trade within the European Economic Area (EEA) for 24 OECD EU member countries. It complements the existing STRI, which quantifies multilateral services trade restrictiveness, allowing to track the progress of regional services integration in 22  sectors (transport, financial, professional, logistics, audiovisual, construction, telecommunications, distribution, computer). The STRI indicators and database have been updated to 2023 for all sectors. The update also involves further harmonisation of measures across sectors and sharpening some of the measures. The entries in the database are documented with reference to the sources. Note: OECD is not responsible for the content or availability of external websites. NonProductionDataflow true UNIT_MEASURE,UNIT_MULT=0 NOT_DISPLAYED ACTIVITY=F,TIME_PERIOD_START=2023,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE,STRI_REGULATORY_MEASURE=1_1_1+1_1_3+1_1_4+1_2_1 DEFAULT Services Trade Restrictiveness Index Regulatory Database Base de données réglementaires de l'indice de restriction sur les échanges de services <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'>The OECD Services Trade Restrictiveness Index database contains information on trade restrictions and behind the border regulation in 22 sectors (transport, financial, professional, logistics, audiovisual, construction, telecommunications, distribution, computer). The STRI indicators and database have been updated to 2024 for all sectors. The entries in the database are documented with reference to the sources. </p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><strong>A zip file containing the STRI Regulatory Database for all countries and sectors available over 2014-2024 can be downloaded here: <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8f35c589-b32d-4c6a-b08e-ba1df15682b8>OECD STRI Regulatory Database 2024</a></strong></p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:18.0pt;font-size:15px;font-family:"Calibri",sans-serif;text-align:justify;'>Note: OECD is not responsible for the content or availability of external websites.</p></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'> La base de données réglementaire de l'Indice de Restriction des Échanges de Services (IRES) de l'OCDE contient des informations sur les restrictions commerciales et la réglementation intérieure dans 22 secteurs (transport, financier, professionnel, logistique, audiovisuel, construction, télécommunications, distribution, informatique). Les indicateurs et la base de données STRI ont été mis à jour pour 2024 pour tous les secteurs. Les entrées dans la base de données sont documentées avec référence aux sources. </p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:0.0pt;font-size:15px;font-family:"Calibri",sans-serif;'><strong> Un fichier zip contenant la base de données réglementaire IRES pour tous les pays et secteurs disponibles sur la période 2014-2024 peut être téléchargé ici : <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8f35c589-b32d-4c6a-b08e-ba1df15682b8>OECD STRI Regulatory Database 2024</a></strong></p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;margin-left:18.0pt;font-size:15px;font-family:"Calibri",sans-serif;text-align:justify;'> Note : L'OCDE n'est pas responsable du contenu ou de la disponibilité des sites externes.</p></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DOMAIN,MEASURE LAYOUT_ROW_SECTION POP_GROUP LAYOUT_NOTE OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED DOMAIN=A1 DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Child well-being Bien-être des enfants This dataset contains key internationally comparable indicators on children’s well being outcomes, a range of additional context indicators on important drivers of child well being, and child relevant public policies. The dataset is built using the latest available data from OECD databases and a range of leading international child surveys and data collection programmes. Indicators are selected based on a multi-dimensional and forward looking approach to child well-being, centred on the idea that children should be able to both enjoy a “good” positive childhood in the here and now, and have the opportunity to develop skills and abilities that set them up well for the future. While the data look to cover the well-being of children of all ages, limitations in data availability mean that most indicators focus on those in middle childhood and adolescence. This dataset represents a selection of headline indicators from the OECD Child Well-being Data Portal, a tool for policy makers and the public to monitor countries’ efforts to promote child well being. It is built on the OECD's Child Well-being Measurement Framework as set out in the OECD's 2021 report Measuring What Matters for Child Well-being and Policies. Cette base de données contient des indicateurs clés comparables au niveau international sur les résultats du bien-être des enfants, une série d'indicateurs contextuels supplémentaires sur les moteurs importants du bien-être des enfants, et des indicateurs pertinents sur les politiques publiques relatives aux enfants. L'ensemble de données est construit à partir des dernières données disponibles provenant des bases de données de l'OCDE et d'un ensemble d'enquêtes internationales sur les enfants. Les indicateurs sont sélectionnés sur la base d'une approche multidimensionnelle et développementale du bien-être de l'enfant, centrée sur l'idée que le bien-être dans l’enfance est aussi important pour développer des compétences et des aptitudes qui les préparent bien pour l'avenir. Bien que les données cherchent à couvrir le bien-être des enfants de tous âges, les limites de la disponibilité des données signifient que la plupart des indicateurs se concentrent sur ceux qui sont au milieu de l'enfance et de l'adolescence. Cet ensemble de données est composé d’une sélection d'indicateurs principaux du Portail de données sur le bien-être des enfants de l'OCDE, un outil permettant aux décideurs politiques et au public de suivre les efforts déployés par les pays pour promouvoir le bien-être des enfants. Il s'appuie sur le cadre de mesure du bien-être de l'enfant de l'OCDE, tel qu'il est défini dans le rapport de l'OCDE de 2021 intitulé Mesurer ce qui compte pour le bien-être de l'enfant et les politiques relatives aux enfants. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SEX LAYOUT_COLUMN OBS_STATUS LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED SEX=_T DEFAULT Time use Emploi du temps Time-use surveys are the primary statistical vehicle for recording information on how people precisely allocate their time across different day-to-day activities. Typically, a large number of people keep a diary of activities over one or several representative days for a given period. Respondents describe their activities in their own words in a time diary and these are then re-coded by national statistical agencies into a set of descriptive categories. A well-designed survey classifies activities across a total duration of 24 hours (or 1 440 minutes) per day. Interest in time-use studies has grown considerably over the last 30 years and an increasing number of national statistical agencies have been conducting large-scale time-use surveys Les enquêtes sur l’emploi du temps sont le principal outil statistique permettant d’enregistrer des informations sur la manière dont les personnes répartissent leur temps entre différentes activités quotidiennes. En règle générale, un grand nombre de personnes tiennent un carnet de leurs activités pendant un ou plusieurs jours représentatifs pour une période donnée. Les répondants décrivent leurs activités dans leurs propres mots dans un carnet de temps. Celles-ci sont ensuite recodées par les agences nationales de statistiques en un ensemble de catégories descriptives. Une enquête bien conçue permet de classer les activités sur une durée totale de 24 heures (ou 1 440 minutes) par jour. L'intérêt pour les études sur l'emploi du temps a considérablement augmenté au cours des 30 dernières années et un nombre croissant d'organismes nationaux de statistiques ont mené des enquêtes à grande échelle sur l'utilisation du temps. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,STATISTICAL_OPERATION,THRESHOLD LAYOUT_ROW_SECTION OBS_STATUS LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A,THRESHOLD=_Z,STATISTICAL_OPERATION=_Z NOT_DISPLAYED MEASURE=SH_TOP10 DEFAULT COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION,THRESHOLD;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Wealth distribution database Base de données sur la distribution de la richesse The OECD Wealth Distribution Database (WDD) collects information on the distribution of household net wealth and is updated every two or three years. The OECD Wealth Distribution Database (WDD) collects information on the distribution of household net wealth and is updated every two or three years. NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE,DEFINITION,METHODOLOGY LAYOUT_ROW_SECTION CURRENCY,OBS_STATUS LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A,CONF_STATUS=F,STATISTICAL_OPERATION=_Z,REF_AREA=WXOECD,POVERTY_LINE=_Z,UNIT_MEASURE=XDC NOT_DISPLAYED MEASURE=INC_DISP_GINI,AGE=_T,DEFINITION=D_CUR,TIME_PERIOD_START=2010,METHODOLOGY=METH2012 DEFAULT COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION,POVERTY_LINE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Measure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Income distribution database Base de données sur la distribution des revenus The OECD Income Distribution Database (IDD) offers data on levels and trends in income inequality and poverty and is updated on a rolling basis, two to three times a year. The OECD Income Distribution Database (IDD) offers data on levels and trends in income inequality and poverty and is updated on a rolling basis, two to three times a year. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_GOAL=G_1,SDG_TARGET=1_2 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goals Objectifs de développement durable This dataset provides a wide range of indicators to measure OECD countries' efforts towards the 2030 Agenda for Sustainable Development, which includes an ambitious set of 17 goals and 169 targets. The dataset has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green growth indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others.<p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit un large éventail d'indicateurs pour mesurer les efforts des pays de l'OCDE en faveur de l'Agenda 2030 pour le développement durable, qui comprend un ensemble ambitieux de 17 objectifs et 169 cibles. L'ensemble de données a été construit à partir de données mondiales sur les ODD et de données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore.<p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=1_2 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 01 - No poverty Objectifs de développement durable 01 - Pas de pauvreté This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 1 - End poverty in all its forms everywhere. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD 1 Éliminer la pauvreté sous toutes ses formes et partout dans le monde.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=10_2 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 10 - Reduced inequality Objectifs de développement durable 10 - Inégalités réduites This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 10 - Reduce inequality within and among countries. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD 10 Réduire les inégalités dans les pays et d’un pays à l’autre.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=11_1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 11 - Sustainable cities and communities Objectifs de développement durable 11 - Villes et communautés durables This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 11 - Make cities and human settlements inclusive, safe, resilient, and sustainable. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD 11 Faire en sorte que les villes et les établissements humains soient ouverts à tous, sûrs, résilients et durables.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=12_1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 12 - Responsible consumption and production Objectifs de développement durable 12 - Consommation et production responsables This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 12 - Ensure sustainable consumption and production patterns. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD 12 Établir des modes de consommation et de production durables.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=13_1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 13 - Climate action Objectifs de développement durable 13 - Mesures relatives à la lutte contre les changements climatiques This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 13 - Take urgent action to combat climate change and its impacts. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD 13 Prendre d’urgence des mesures pour lutter contre les changements climatiques et leurs répercussions.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=14_1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 14 - Life below water Objectifs de développement durable 14 - Vie aquatique This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 14 - Conserve and sustainably use the oceans, seas, and marine resources for sustainable development. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD 14 Conserver et exploiter de manière durable les océans, les mers et les ressources marines aux fins du développement durable.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=15_1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 15 - Life on land Objectifs de développement durable 15 - Vie terrestre This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 15 - Protect, restore, and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD 15 Préserver et restaurer les écosystèmes terrestres, en veillant à les exploiter de façon durable, gérer durablement les forêts, lutter contre la désertification, enrayer et inverser le processus de dégradation des sols et mettre fin à l’appauvrissement de la biodiversité.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=16_1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 16 - Peace, justice, and strong institutions Objectifs de développement durable 16 - Paix, justice et institutions efficaces This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 16 - Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable, and inclusive institutions at all levels. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD 16 Promouvoir l’avènement de sociétés pacifiques et inclusives aux fins du développement durable, assurer l’accès de tous à la justice et mettre en place, à tous les niveaux, des institutions efficaces, responsables et ouvertes à tous.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=17_1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 17 - Partnerships for the goals Objectifs de développement durable 17 - Partenariats pour la réalisation des Objectifs de développement durable This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 17 - Strengthen the means of implementation and revitalize the global partnership for sustainable development. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD Renforcer les moyens de mettre en œuvre le Partenariat mondial pour le développement et le revitaliser.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=2_1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 02 - Zero hunger Objectifs de développement durable 02 - Faim « zéro » This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 2 - End hunger, achieve food security and improved nutrition and promote sustainable agriculture. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD 2 Éliminer la faim, assurer la sécurité alimentaire, améliorer la nutrition et promouvoir l’agriculture durable.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=3_1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 03 - Good health and well-being Objectifs de développement durable 03 - Bonne santé et bien-être This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 3 - Ensure healthy lives and promote well-being for all at all ages. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD 3 Permettre à tous de vivre en bonne santé et promouvoir le bien-être de tous à tout âge.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=4_1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 04 - Quality education Objectifs de développement durable 04 - Éducation de qualité This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 4 - Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD 4 Assurer l’accès de tous à une éducation de qualité, sur un pied d’égalité, et promouvoir les possibilités d’apprentissage tout au long de la vie.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=5_1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 05 - Gender equality Objectifs de développement durable 05 - Égalité entre les sexes This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 5 - Achieve gender equality and empower all women and girls. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD 5 Parvenir à l’égalité des sexes et autonomiser toutes les femmes et les filles.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=6_1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 06 - Clean water and sanitation Objectifs de développement durable 06 - Eau propre et assainissement This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 6 - Ensure availability and sustainable management of water and sanitation for all. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD 6 Garantir l’accès de tous à des services d’alimentation en eau et d’assainissement gérés de façon durable.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=7_1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 07 - Affordable and clean energy Objectifs de développement durable 07 - Énergie propre et d'un coût abordable This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 7 - Ensure access to affordable, reliable, sustainable and modern energy for all. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD 7 Garantir l’accès de tous à des services énergétiques fiables, durables et modernes, à un coût abordable.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=8_1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 08 - Decent work and economic growth Objectifs de développement durable 08 - Travail décent et croissance économique This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 8 - Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD 8 Promouvoir une croissance économique soutenue, partagée et durable, le plein emploi productif et un travail décent pour tous.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA,SDG_SERIES,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SDG_GOAL,SDG_TARGET,SDG_INDICATOR LAYOUT_ROW_SECTION SOURCE LAYOUT_NOTE AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,UNIT_MULT=0,SOURCE=UNSD NOT_DISPLAYED AGE=_T,SEX=_T,INCOME_WEALTH_QUANTILE=_T,EDUCATION_LEV=_T,DEG_URB=_T,SDG_TARGET=9_1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Sustainable Development Goal 09 - Industry, innovation, and infrastructure Objectifs de développement durable 09 - Industrie, innovation et infrastructure This dataset provides the indicators to measure OECD countries' efforts for Sustainable Development Goal 9 - Build resilient infrastructure, promote inclusive and sustainable industrialization, and foster innovation. <p />The OECD dataset on the SDGs has been built using global UNSDG data and complementary OECD data, which allows the analysis to be tailored to the policy challenges faced by OECD countries. The methodology builds on data from the UN Global SDG Database and relevant OECD Databases such as Green Growth Indicators, OECD Environment Statistics, OECD Main Science and Technology Indicators, OECD Science, Technology and R&D Statistics, OECD Compendium of Productivity Indicators, amongst others. The OECD acts as the (co-)custodian of a number of indicators and directly supplies data to the UN Global Database in areas including ODA and other international flows, gender-based legal discrimination, access to civil justice and others. <p />Details on the construction of the database can be found in the <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">methodology note</a>. Cet ensemble de données fournit les indicateurs permettant de mesurer les efforts déployés par les pays de l'OCDE pour atteindre l'ODD 9 Bâtir une infrastructure résiliente, promouvoir une industrialisation durable qui profite à tous et encourager l’innovation.<p />L'ensemble de données de l'OCDE sur les ODD a été construit à partir des données globales de l'UNSDG et des données complémentaires de l'OCDE, ce qui permet d'adapter l'analyse aux défis politiques auxquels sont confrontés les pays de l'OCDE. La méthodologie s'appuie sur les données de la base de données mondiale des Nations Unies sur les ODD et sur les bases de données pertinentes de l'OCDE telles que les indicateurs de croissance verte, les statistiques de l'environnement de l'OCDE, les principaux indicateurs de la science et de la technologie de l'OCDE, les statistiques de la science, de la technologie et de la R&D de l'OCDE, le Compendium d'indicateurs de productivité de l'OCDE, entre autres. L'OCDE est (co-)dépositaire d'un certain nombre d'indicateurs et fournit directement des données à la base de données mondiale des Nations unies dans des domaines tels que l'APD et d'autres flux internationaux, la discrimination juridique fondée sur le sexe, l'accès à la justice civile et d'autres encore. <p />Les détails de la construction de la base de données se trouvent dans la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=5fe47e5c-1854-4bc2-a7df-38e08411caea">note méthodologique</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW DOMAIN,MEASURE,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,AGE=_T,SEX=_T,EDUCATION_LEV=_T NOT_DISPLAYED lastNObservations=1,AGE=_T,SEX=_T,EDUCATION_LEV=_T,MEASURE=11_2+11_1+9_3+9_2+8_2+8_1_DEP+7_2+7_1_DEP+6_2_DEP+6_2+5_3+5_1+4_3+4_1+3_2+3_1+2_7+2_2+2_1+1_3+1_2+1_1 DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Current well-being Bien-être actuel The <b>How’s Life? database</b> is the one-stop shop for the 80+ indicators of the OECD Well-being Dashboard, covering social, economic and environmental outcomes that matter most for people, the planet and future generations. It consists of six datasets: current well-being, current well-being vertical inequalities, current well-being by age, educational attainment, sex, and resources for future well-being. To learn more about the database, visit the database's <a href='https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/measuring-well-being-and-progress/oecd-well-being-database-definitions.pdf' target='_blank'>definitions and metadata.</a> <br> <br> This dataflow covers: <b>Current well-being</b>. <br> <br> There are 11 dimensions of current well-being in this dataset:<br> <ul> <i>Material conditions</i> <li>Income and Wealth</li> <li>Housing</li> <li>Work and Job Quality</li> </ul> <ul> <i>Quality of Life</i> <li>Health</li> <li>Knowledge and Skills</li> <li>Environmental Quality</li> <li>Subjective Well-being</li> <li>Safety</li> </ul> <ul> <i>Community relationships</i> <li>Work-Life Balance</li> <li>Social Connections</li> <li>Civic Engagement</li> </ul> Check out the latest publication using this database <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en.html' target='_blank'>How's Life? 2024 - Well-being and resilience in times of crisis</a> and the <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en/support-materials.html#title-bb16ca3ab9' target='_blank'>How's Life? country notes</a>. <br> <br> Have questions? Reach out to us at <a href=\"mailto:wellbeing@oecd.org\">wellbeing@oecd.org</a>. La base de données <b>« Comment va la vie ? Bien-être »</b> est le guichet unique comptant plus de 80 indicateurs du Cadre de measure du bien-être de l'OCDE, fournissant des informations sur les résultats actuels en matière de bien-être, leur répartition au sein de la population et les ressources qui contribuent à les pérenniser pour les générations futures. Elle se compose de six ensembles de données : <b>le bien-être actuel</b>, les inégalités verticales du bien-être actuel, le bien-être actuel par âge, par niveau d'éducation et par sexe, et les ressources systémiques qui sous-tendent le bien-être futur. Pour en savoir plus sur la base de données, consultez les <a href='https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/measuring-well-being-and-progress/oecd-well-being-database-definitions.pdf' target='_blank'> définitions et les métadonnées</a> de la base de données (disponible uniquement en anglais). <br> <br> Vous êtes sur : <b>bien-être actuel</b>. <br> <br> Cet ensemble de données comporte 11 dimensions du bien-être actuel :<br> <ul> <i>Conditions de vie matérielles</i> <li> Revenu et patrimoine</li> <li> Logement</li> <li> Travail et qualité de l'emploi</li> </ul> <ul> <i>Qualité de vie</i> <li> Santé</li> <li> Connaissances et compétences</li> <li> Qualité environnementale</li> <li> Bien-être subjectif</li> <li> Sécurité</li> </ul> <ul> <i>Relations sociales</i> <li> Équilibre travail-vie privée</li> <li> Liens sociaux</li> <li> Engagement civique</li> </ul> Consultez la dernière publication utilisant cette base de données <a href=' https://www.oecd.org/fr/publications/synthese-comment-va-la-vie-2024_eba67f30-fr.html ' target='_blank'>Comment va la vie? 2024 (version abrégée) – Bien-être et résilience en temps de crise</a> et les <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en/support-materials.html#title-bb16ca3ab9' target='_blank'>Comment va la vie? country notes</a>. <br> <br> Vous avez des questions ? Contactez-nous à l'adresse <a href=\"mailto:wellbeing@oecd.org\">wellbeing@oecd.org</a>. NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW DOMAIN,MEASURE,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,AGE=_T,SEX=_T,EDUCATION_LEV=_T NOT_DISPLAYED lastNObservations=1 DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Current well-being by age Bien-être actuel par âge The <b>How’s Life? database</b> is the one-stop shop for the 80+ indicators of the OECD Well-being Dashboard, covering social, economic and environmental outcomes that matter most for people, the planet and future generations. It consists of six datasets: current well-being, current well-being vertical inequalities, current well-being by age, educational attainment, sex, and resources for future well-being. To learn more about the database, visit the database's <a href='https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/measuring-well-being-and-progress/oecd-well-being-database-definitions.pdf' target='_blank'>definitions and metadata.</a> <br> <br> This dataflow covers: <b>Current well-being by age</b>. <br> <br> The distribution of current well-being is taken into account by looking at three types of inequality: gaps between population groups by <b>age,</b> educational attainment and sex (horizontal inequalities); gaps between those at the top and those at the bottom of the achievement scale in each dimension (vertical inequalities); and deprivations (i.e. the share of the population falling below a given threshold of achievement). <br> <br> Indicators are banded when sample size is below 1000 observations. <br> <br> Check out the latest publication using this database <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en.html' target='_blank'>How's Life? 2024 - Well-being and resilience in times of crisis</a> and the <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en/support-materials.html#title-bb16ca3ab9'target='_blank'>How's Life? country notes</a>. <br> <br> Have questions? Reach out to us at <a href=\"mailto:wellbeing@oecd.org\">wellbeing@oecd.org</a>. La base de données <b>« Comment va la vie ? Bien-être »</b> est le guichet unique comptant plus de 80 indicateurs du Cadre de measure du bien-être de l'OCDE, fournissant des informations sur les résultats actuels en matière de bien-être, leur répartition au sein de la population et les ressources qui contribuent à les pérenniser pour les générations futures. Elle se compose de six ensembles de données : <b>le bien-être actuel</b>, les inégalités verticales du bien-être actuel, le bien-être actuel par âge, par niveau d'éducation et par sexe, et les ressources systémiques qui sous-tendent le bien-être futur. Pour en savoir plus sur la base de données, consultez les <a href='https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/measuring-well-being-and-progress/oecd-well-being-database-definitions.pdf' target='_blank'> définitions et les métadonnées</a> de la base de données (disponible uniquement en anglais). <br> <br> Vous êtes sur : <b>bien-être actuel par âge</b>. <br> <br> La répartition du bien-être actuel est prise en compte en examinant trois types d'inégalités : les écarts entre les groupes de population par <b>âge</b>, niveau d'éducation et sexe, les écarts entre les personnes situées en haut et celles situées en bas de l'échelle de réussite dans chaque dimension (inégalités verticales) et les privations (c’est-à-dire la part de la population qui se situe en dessous d'un seuil de réussite donné). <br> <br> Consultez la dernière publication utilisant cette base de données <a href=' https://www.oecd.org/fr/publications/synthese-comment-va-la-vie-2024_eba67f30-fr.html ' target='_blank'>Comment va la vie? 2024 (version abrégée) – Bien-être et résilience en temps de crise</a> et les <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en/support-materials.html#title-bb16ca3ab9' target='_blank'>Comment va la vie? country notes</a>. <br> <br> Vous avez des questions ? Contactez-nous à l'adresse <a href=\"mailto:wellbeing@oecd.org\">wellbeing@oecd.org</a>. NonProductionDataflow true REF_AREA,EDUCATION_LEV LAYOUT_ROW DOMAIN,MEASURE,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,AGE=_T,SEX=_T,EDUCATION_LEV=_T NOT_DISPLAYED lastNObservations=1 DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Current well-being by education level Bien-être actuel par niveau d'éducation The <b>How’s Life? database</b> is the one-stop shop for the 80+ indicators of the OECD Well-being Dashboard, covering social, economic and environmental outcomes that matter most for people, the planet and future generations. It consists of six datasets: current well-being, current well-being vertical inequalities, current well-being by age, educational attainment, sex, and resources for future well-being. To learn more about the database, visit the database's <a href='https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/measuring-well-being-and-progress/oecd-well-being-database-definitions.pdf' target='_blank'>definitions and metadata.</a> <br> <br> This dataflow covers: <b>Current well-being by educational attainment</b>. <br> <br> The distribution of current well-being is taken into account by looking at three types of inequality: gaps between population groups by age, <b>educational attainment</b> and sex (horizontal inequalities); gaps between those at the top and those at the bottom of the achievement scale in each dimension (vertical inequalities); and deprivations (i.e. the share of the population falling below a given threshold of achievement). <br> <br> Indicators are banded when sample size is below 1000 observations. <br> <br> Check out the latest publication using this database <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en.html' target='_blank'>How's Life? 2024 - Well-being and resilience in times of crisis</a> and the <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en/support-materials.html#title-bb16ca3ab9' target='_blank'>How's Life? country notes</a>. <br> <br> Have questions? Reach out to us at <a href=\"mailto:wellbeing@oecd.org\">wellbeing@oecd.org</a>. La base de données <b>« Comment va la vie ? Bien-être »</b> est le guichet unique comptant plus de 80 indicateurs du Cadre de measure du bien-être de l'OCDE, fournissant des informations sur les résultats actuels en matière de bien-être, leur répartition au sein de la population et les ressources qui contribuent à les pérenniser pour les générations futures. Elle se compose de six ensembles de données : <b>le bien-être actuel</b>, les inégalités verticales du bien-être actuel, le bien-être actuel par âge, par niveau d'éducation et par sexe, et les ressources systémiques qui sous-tendent le bien-être futur. Pour en savoir plus sur la base de données, consultez les <a href='https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/measuring-well-being-and-progress/oecd-well-being-database-definitions.pdf' target='_blank'> définitions et les métadonnées</a> de la base de données (disponible uniquement en anglais). <br> <br> Vous êtes sur : <b>bien-être actuel par niveau d'éducation</b>. <br> <br> La répartition du bien-être actuel est prise en compte en examinant trois types d'inégalités : les écarts entre les groupes de population par âge, <b>niveau d'éducation</b> et sexe, les écarts entre les personnes situées en haut et celles situées en bas de l'échelle de réussite dans chaque dimension (inégalités verticales) et les privations (c’est-à-dire la part de la population qui se situe en dessous d'un seuil de réussite donné). <br> <br> Consultez la dernière publication utilisant cette base de données <a href=' https://www.oecd.org/fr/publications/synthese-comment-va-la-vie-2024_eba67f30-fr.html ' target='_blank'>Comment va la vie? 2024 (version abrégée) – Bien-être et résilience en temps de crise</a> et les <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en/support-materials.html#title-bb16ca3ab9' target='_blank'>Comment va la vie? country notes</a>. <br> <br> Vous avez des questions ? Contactez-nous à l'adresse <a href=\"mailto:wellbeing@oecd.org\">wellbeing@oecd.org</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW DOMAIN,MEASURE,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,AGE=_T,SEX=_T,EDUCATION_LEV=_T NOT_DISPLAYED lastNObservations=1,SEX=_T,AGE=_T,EDUCATION_LEV=_T DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Current well-being vertical inequality Bien-être actuel (inégalité verticale) The <b>How’s Life? database</b> is the one-stop shop for the 80+ indicators of the OECD Well-being Dashboard, covering social, economic and environmental outcomes that matter most for people, the planet and future generations. It consists of six datasets: current well-being, current well-being vertical inequalities, current well-being by age, educational attainment, sex, and resources for future well-being. To learn more about the database, visit the database's <a href='https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/measuring-well-being-and-progress/oecd-well-being-database-definitions.pdf' target='_blank'>definitions and metadata.</a> <br> <br> This dataflow covers: <b>Current well-being by vertical inequality</b>. <br> <br> The distribution of current well-being is taken into account by looking at three types of inequality: gaps between population groups by age, educational attainment and sex (horizontal inequalities); <b>gaps between those at the top and those at the bottom of the achievement scale in each dimension (vertical inequalities)</b>; and deprivations (i.e. the share of the population falling below a given threshold of achievement). <br> <br> Check out the latest publication using this database <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en.html' target='_blank'>How's Life? 2024 - Well-being and resilience in times of crisis</a> and the <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en/support-materials.html#title-bb16ca3ab9' target='_blank'>How's Life? country notes</a>. <br> <br> Have questions? Reach out to us at <a href=\"mailto:wellbeing@oecd.org\">wellbeing@oecd.org</a>. La base de données <b>« Comment va la vie ? Bien-être »</b> est le guichet unique comptant plus de 80 indicateurs du Cadre de measure du bien-être de l'OCDE, fournissant des informations sur les résultats actuels en matière de bien-être, leur répartition au sein de la population et les ressources qui contribuent à les pérenniser pour les générations futures. Elle se compose de six ensembles de données : le bien-être actuel, les inégalités verticales du bien-être actuel, le bien-être actuel par âge, par niveau d'éducation et par sexe, et les ressources systémiques qui sous-tendent le bien-être futur. Pour en savoir plus sur la base de données, consultez les <a href='https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/measuring-well-being-and-progress/oecd-well-being-database-definitions.pdf' target='_blank'> définitions et les métadonnées</a> de la base de données (disponible uniquement en anglais). <br> <br> Vous êtes sur : <b>bien-être actuel inégalité verticale</b>. <br> <br> La répartition du bien-être actuel est prise en compte en examinant trois types d'inégalités : les écarts entre les groupes de population par age, niveau d'éducation et sexe, les écarts entre <b>les personnes situées en haut et celles situées en bas de l'échelle de réussite dans chaque dimension (inégalités verticales)</b> et les privations (c’est-à-dire la part de la population qui se situe en dessous d'un seuil de réussite donné). <br> <br> Consultez la dernière publication utilisant cette base de données <a href=' https://www.oecd.org/fr/publications/synthese-comment-va-la-vie-2024_eba67f30-fr.html ' target='_blank'>Comment va la vie? 2024 (version abrégée) – Bien-être et résilience en temps de crise</a> et les <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en/support-materials.html#title-bb16ca3ab9' target='_blank'>Comment va la vie? country notes</a>. <br> <br> Vous avez des questions ? Contactez-nous à l'adresse <a href=\"mailto:wellbeing@oecd.org\">wellbeing@oecd.org</a>. NonProductionDataflow true REF_AREA,SEX LAYOUT_ROW DOMAIN,MEASURE,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,AGE=_T,SEX=_T,EDUCATION_LEV=_T NOT_DISPLAYED startPeriod=2019,endPeriod=2019 DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Current well-being by sex Bien-être actuel par sexe The <b>How’s Life? database</b> is the one-stop shop for the 80+ indicators of the OECD Well-being Dashboard, covering social, economic and environmental outcomes that matter most for people, the planet and future generations. It consists of six datasets: current well-being, current well-being vertical inequalities, current well-being by age, educational attainment, sex, and resources for future well-being. To learn more about the database, visit the database's <a href='https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/measuring-well-being-and-progress/oecd-well-being-database-definitions.pdf' target='_blank'>definitions and metadata.</a> <br> <br> This dataflow covers: <b>Current well-being by sex</b>. <br> <br> The distribution of current well-being is taken into account by looking at three types of inequality: gaps between population groups by age, educational attainment and <b>sex</b> (horizontal inequalities); gaps between those at the top and those at the bottom of the achievement scale in each dimension (vertical inequalities); and deprivations (i.e. the share of the population falling below a given threshold of achievement). <br> <br> Check out the latest publication using this database <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en.html' target='_blank'>How's Life? 2024 - Well-being and resilience in times of crisis</a> and the <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en/support-materials.html#title-bb16ca3ab9' target='_blank'>How's Life? country notes</a>. <br> <br> Have questions? Reach out to us at <a href=\"mailto:wellbeing@oecd.org\">wellbeing@oecd.org</a>. La base de données <b>« Comment va la vie ? Bien-être »</b> est le guichet unique comptant plus de 80 indicateurs du Cadre de measure du bien-être de l'OCDE, fournissant des informations sur les résultats actuels en matière de bien-être, leur répartition au sein de la population et les ressources qui contribuent à les pérenniser pour les générations futures. Elle se compose de six ensembles de données : <b>le bien-être actuel</b>, les inégalités verticales du bien-être actuel, le bien-être actuel par âge, par niveau d'éducation et par sexe, et les ressources systémiques qui sous-tendent le bien-être futur. Pour en savoir plus sur la base de données, consultez les <a href='https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/measuring-well-being-and-progress/oecd-well-being-database-definitions.pdf' target='_blank'> définitions et les métadonnées</a> de la base de données (disponible uniquement en anglais). <br> <br> Vous êtes sur : <b>bien-être actuel par sexe</b>. <br> <br> La répartition du bien-être actuel est prise en compte en examinant trois types d'inégalités : les écarts entre les groupes de population par âge, niveau d'éducation et <b>sexe</b>, les écarts entre les personnes situées en haut et celles situées en bas de l'échelle de réussite dans chaque dimension (inégalités verticales) et les privations (c’est-à-dire la part de la population qui se situe en dessous d'un seuil de réussite donné). <br> <br> Consultez la dernière publication utilisant cette base de données <a href=' https://www.oecd.org/fr/publications/synthese-comment-va-la-vie-2024_eba67f30-fr.html ' target='_blank'>Comment va la vie? 2024 (version abrégée) – Bien-être et résilience en temps de crise</a> et les <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en/support-materials.html#title-bb16ca3ab9' target='_blank'>Comment va la vie? country notes</a>. <br> <br> Vous avez des questions ? Contactez-nous à l'adresse <a href=\"mailto:wellbeing@oecd.org\">wellbeing@oecd.org</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW DOMAIN,MEASURE,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,AGE=_T,SEX=_T,EDUCATION_LEV=_T NOT_DISPLAYED lastNObservations=1,AGE=_T,SEX=_T,EDUCATION_LEV=_T,MEASURE=12_7+12_8+12_10+13_1+13_2+13_3+14_1+14_3+14_5+15_1+15_6+15_7 DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Future well-being Bien-être futur The <b>How’s Life? database</b> is the one-stop shop for the 80+ indicators of the OECD Well-being Dashboard, covering social, economic and environmental outcomes that matter most for people, the planet and future generations. It consists of six datasets: current well-being, current well-being vertical inequalities, current well-being by age, educational attainment, sex, and resources for future well-being. To learn more about the database, visit the database's <a href='https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/measuring-well-being-and-progress/oecd-well-being-database-definitions.pdf' target='_blank'>definitions and metadata.</a> <br> <br> This dataflow covers: <b>Resources for future well-being</b>. <br> <br> The systemic resources that underpin <b>future well-being</b> over time are expressed in terms of four types of capital: Natural, Human, Social, Economic. <br> <br> Check out the latest publication using this database <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en.html' target='_blank'>How's Life? 2024 - Well-being and resilience in times of crisis</a> and the <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en/support-materials.html#title-bb16ca3ab9' target='_blank'>How's Life? country notes</a>. <br> <br> Have questions? Reach out to us at <a href=\"mailto:wellbeing@oecd.org\">wellbeing@oecd.org</a>. La base de données <b>« Comment va la vie ? Bien-être »</b> est le guichet unique comptant plus de 80 indicateurs du Cadre de measure du bien-être de l'OCDE, fournissant des informations sur les résultats actuels en matière de bien-être, leur répartition au sein de la population et les ressources qui contribuent à les pérenniser pour les générations futures. Elle se compose de six ensembles de données : le bien-être actuel, les inégalités verticales du bien-être actuel, le bien-être actuel par âge, par niveau d'éducation et par sexe, et les ressources systémiques qui sous-tendent le bien-être futur. Pour en savoir plus sur la base de données, consultez les <a href='https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/measuring-well-being-and-progress/oecd-well-being-database-definitions.pdf' target='_blank'> définitions et les métadonnées</a> de la base de données (disponible uniquement en anglais). <br> <br> Vous êtes sur : <b>bien-être futur</b>. <br> <br> Les ressources systémiques qui sous-tendent le bien-être futur au fil du temps sont exprimées en termes de quatre types de capital : économique, naturel, humain et social. <br> <br> Consultez la dernière publication utilisant cette base de données <a href=' https://www.oecd.org/fr/publications/synthese-comment-va-la-vie-2024_eba67f30-fr.html ' target='_blank'>Comment va la vie? 2024 (version abrégée) – Bien-être et résilience en temps de crise</a> et les <a href='https://www.oecd.org/en/publications/how-s-life-2024_90ba854a-en/support-materials.html#title-bb16ca3ab9' target='_blank'>Comment va la vie? country notes</a>. <br> <br> Vous avez des questions ? Contactez-nous à l'adresse <a href=\"mailto:wellbeing@oecd.org\">wellbeing@oecd.org</a>.