{"resources":[],"references":{"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=ESTAT:SEEA_AEA_A(1.4)":{"id":"SEEA_AEA_A","name":"Air Emissions Accounts","description":"Air Emissions Accounts","agencyID":"ESTAT","version":"1.4","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=ESTAT:SEEA_AEA_A(1.4)","annotations":[{"type":"NonProductionDataflow","text":"true"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=ESTAT:SEEAAIR(1.4)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=IAEG-SDGs:DF_SDG_GLC(1.20)":{"id":"DF_SDG_GLC","name":"SDG Country Global Dataflow","description":"Reporting and dissemination dataflow for non-harmonized global SDG indicators reported by countries.","agencyID":"IAEG-SDGs","version":"1.20","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=IAEG-SDGs:DF_SDG_GLC(1.20)","annotations":[{"type":"NonProductionDataflow","text":"true"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=IAEG-SDGs:SDG(1.20)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=IAEG-SDGs:DF_SDG_GLH(1.20)":{"id":"DF_SDG_GLH","name":"SDG Harmonized Global Dataflow","description":"Reporting and dissemination dataflow for harmonized global SDG indicators.","agencyID":"IAEG-SDGs","version":"1.20","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=IAEG-SDGs:DF_SDG_GLH(1.20)","annotations":[{"type":"NonProductionDataflow","text":"true"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=IAEG-SDGs:SDG(1.20)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_CLIM@DF_COASTAL_FLOOD(1.1)":{"id":"DSD_FUA_CLIM@DF_COASTAL_FLOOD","name":"Coastal flooding - Cities and FUAs","description":"<p align=\"justify\">This dataset provides indicators of population and built-up exposure to coastal floods.</p>\n\n<h3>Data sources and methodology</h3>\n<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>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_CLIM@DF_COASTAL_FLOOD(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_CLIM(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_CLIM@DF_FIRES(1.1)":{"id":"DSD_FUA_CLIM@DF_FIRES","name":"Wildfires - Cities and FUAs","description":"<p align=\"justify\">This dataset provides indicators of population and land exposure to wildfires.</p>\n\n<h3>Data sources and methodology</h3>\n<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>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_CLIM@DF_FIRES(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,MEASURE=FIRE_LAND_EXP","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_CLIM(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_CLIM@DF_HEAT_STRESS(1.1)":{"id":"DSD_FUA_CLIM@DF_HEAT_STRESS","name":"Heat stress - Cities and FUAs","description":"<p align=\"justify\">This dataset provides an indicator of population exposure to heat stress.</p>\n\n<h3>Data sources and methodology</h3>\n<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>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_CLIM@DF_HEAT_STRESS(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,HEAT_STRESS=GE32","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_CLIM(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_CLIM@DF_PRECIP(1.1)":{"id":"DSD_FUA_CLIM@DF_PRECIP","name":"Precipitation - FUAs","description":"<p align=\"justify\">This dataset provides indicators of total precipitation and extreme precipitation days in Functional Urban Areas (FUAs).</p>\n\n<h3>Data sources and methodology</h3>\n<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>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_CLIM@DF_PRECIP(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_CLIM(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_CLIM@DF_RIVER_FLOOD(1.1)":{"id":"DSD_FUA_CLIM@DF_RIVER_FLOOD","name":"River flooding - Cities and FUAs","description":"<p align=\"justify\">This dataset provides indicators of population and built-up exposure to river floods.</p>\n\n<h3>Data sources and methodology</h3>\n<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>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_CLIM@DF_RIVER_FLOOD(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_CLIM(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_CLIM@DF_TEMPERATURES(1.1)":{"id":"DSD_FUA_CLIM@DF_TEMPERATURES","name":"Air temperature, hot days, tropical nights and icing days - FUAs","description":"<p align=\"justify\">This dataset provides indicators of air temperature, hot days, tropical nights and icing days.</p>\n\n<h3>Data sources and methodology</h3>\n<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>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_CLIM@DF_TEMPERATURES(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_CLIM(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_DEMO@DF_AGE_SEX(1.1)":{"id":"DSD_FUA_DEMO@DF_AGE_SEX","name":"Population by age and sex - Cities and FUAs","description":"<p align=\"justify\">This dataset provides population counts by 5-year age groups and sex for OECD Functional Urban Areas (FUAs) and cities.</p>\n\n<h3>Data sources and methodology</h3>\n<p align=\"justify\">\nPopulation 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 />\nWhen 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 />\n</p>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_DEMO@DF_AGE_SEX(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,AGE=_T,SEX=_T","type":"DEFAULT"},{"id":"@SDMX","title":"AGE:OECD.CFE.EDS:HCL_AGE(1.0).H","type":"HIER_CONTEXT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_DEMO(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_DEMO@DF_DEPEND(1.1)":{"id":"DSD_FUA_DEMO@DF_DEPEND","name":"Dependency ratio - Cities and FUAs","description":"<p align=\"justify\">This dataset provides an indicator of dependency ratios for OECD Functional Urban Areas (FUAs) and cities.</p>\n\n<h3>Data sources and methodology</h3>\n<p align=\"justify\">\nDependency 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 />\nWhen 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 />\n</p>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_DEMO@DF_DEPEND(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_DEMO(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_DEMO@DF_ORIGIN(1.0)":{"id":"DSD_FUA_DEMO@DF_ORIGIN","name":"Foreign-born population - Cities and FUAs","description":"<p align=\"justify\">This dataset provides population counts for native and foreign-born population in OECD Functional Urban Areas (FUAs) and cities.</p>\n\n<h3>Data sources and methodology</h3>\n<p align=\"justify\">\nPopulation 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 />\nFor 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>.\n</p>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_DEMO@DF_ORIGIN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_DEMO(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_DIGI@DF_INTERNET_SPEED(1.1)":{"id":"DSD_FUA_DIGI@DF_INTERNET_SPEED","name":"Internet speed - Cities and FUAs","description":"<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>\n\n<h3>Data sources and methodology</h3>\n<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>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_DIGI@DF_INTERNET_SPEED(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,MEASURE=DOWN_SPEED","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_DIGI(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_ECO@DF_ECONOMY(1.1)":{"id":"DSD_FUA_ECO@DF_ECONOMY","name":"Economy - FUAs","description":"<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>\n\n<h3>Data sources and methodology</h3>\n<p align=\"justify\">\nWhen 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 />\nWhen 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.\n</p>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_ECO@DF_ECONOMY(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F,MEASURE=LAB_PROD","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_ECO(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_ENER@DF_CDD_HDD(1.1)":{"id":"DSD_FUA_ENER@DF_CDD_HDD","name":"Cooling and heating degree days - Cities and FUAs","description":"<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>\n\n<h3>Data sources and methodology</h3>\n<p align=\"justify\">\nThe 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>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_ENER@DF_CDD_HDD(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,MEASURE=HDD","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_ENER(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_ENV@DF_GREEN_AREA(1.2)":{"id":"DSD_FUA_ENV@DF_GREEN_AREA","name":"Green areas - FUAs","description":"<p align=\"justify\">This dataset provides an indicator of the availability of green areas in urban centres of Functional Urban Areas (FUAs).</p>\n\n<h3>Data sources and methodology</h3>\n<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>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.2","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_ENV@DF_GREEN_AREA(1.2)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F,UNIT_MEASURE=M2_PS","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_ENV(1.2)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_ENV@DF_POLLUTION(1.2)":{"id":"DSD_FUA_ENV@DF_POLLUTION","name":"Air pollution - Cities and FUAs","description":"<p align=\"justify\">This dataset provides indicators of PM2.5, PM10 (particulate matter), ozone and nitrogen dioxide air pollution in FUAs and cities.</p>\n\n<h3>Data sources and methodology</h3>\n<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>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.2","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_ENV@DF_POLLUTION(1.2)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,UNIT_MEASURE=MCG_M3,MEASURE=PM25_POP_EXP","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_ENV(1.2)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_ENV@DF_UHI(1.2)":{"id":"DSD_FUA_ENV@DF_UHI","name":"Urban heat island - FUAs","description":"<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>\n\n<h3>Data sources and methodology</h3>\n<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>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.2","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_ENV@DF_UHI(1.2)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AT001F+AT002F+AT003F+AT004F+AT005F+AT006F,TIME_SEASON=DAY_SUMMER","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_ENV(1.2)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_INNOV@DF_PATENTS(1.0)":{"id":"DSD_FUA_INNOV@DF_PATENTS","name":"Total and environment-related patents - FUAs","description":"<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>\n\n<h3>Data sources and methodology</h3>\n<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>. \n<br /><br />\nPatents are allocated to FUAs based on the postal addresses of inventors. The year refers to the date the patent application was filed.\n<br /><br />\nPatents 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.\n</p>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_INNOV@DF_PATENTS(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"PATENT_TECH","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=DNK+DK001F+DK002F+DK003F+DK004","type":"DEFAULT"},{"id":"@SDMX","title":"PATENT_TECH:OECD.CFE.EDS:HCL_PATENT_TECH(1.0).H","type":"HIER_CONTEXT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_INNOV(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_LAB@DF_LABOUR(1.1)":{"id":"DSD_FUA_LAB@DF_LABOUR","name":"Labour market - FUAs","description":"<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>\n\n<h3>Data sources and methodology</h3>\n<p align=\"justify\">\nWhen 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 />\nWhen 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.\n</p>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_LAB@DF_LABOUR(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F,MEASURE=EMP_RATIO,AGE=Y15T64","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_LAB(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_TERR@DF_DENSITY(1.1)":{"id":"DSD_FUA_TERR@DF_DENSITY","name":"Population and built-up density - Cities and FUAs","description":"<p align=\"justify\">This dataset provides indicators of population density and built-up area in FUAs and cities.</p>\n\n<h3>Data sources and methodology</h3>\n<p align=\"justify\">\nFUA 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.\n</p>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_TERR@DF_DENSITY(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,MEASURE=POP_DEN,TIME_PERIOD_START=2010","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_TERR(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_TERR@DF_LAU(1.1)":{"id":"DSD_FUA_TERR@DF_LAU","name":"Local administrative units - Cities and FUAs","description":"<p align=\"justify\">This dataset provides an indicator of the number of local administrative units (LAUs) in FUAs and cities.</p>\n\n<h3>Data sources and methodology</h3>\n<p align=\"justify\">\nLocal 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 />\nInformation 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.\n</p>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_TERR@DF_LAU(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,MEASURE=LAU_C","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_TERR(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_TRAN@DF_PT_ACCESS(1.1)":{"id":"DSD_FUA_TRAN@DF_PT_ACCESS","name":"Access to public transport - FUAs","description":"<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>\n\n<h3>Data sources and methodology</h3>\n<p align=\"justify\">The indicator uses:\n<ul>\n  <li>public transport stops' location from General Transit Feed Specification (GTFS) data;</li>\n  <li>OpenStreetMap (OSM) road network data;</li>\n  <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>\n  <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>\n</ul>\nA 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>.\n</p>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_TRAN@DF_PT_ACCESS(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUS16F+AUS17F+AUS15F+AUS13F+AUS12F+AUS11F+AUS10F+AUS08F+AUS07F+AUS06F+AUS05F+AUS04F+AUS03F+AUS01F","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_TRAN(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_TRAN@DF_SERVICE_ACCESS(1.1)":{"id":"DSD_FUA_TRAN@DF_SERVICE_ACCESS","name":"Access to services - FUAs","description":"<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>\n\n<h3>Data sources and methodology</h3>\n<p align=\"justify\">The indicator uses:\n<ul>\n  <li>service location data from national sources;</li>\n  <li>OpenStreetMap (OSM) road network data;</li>\n  <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>\n  <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>\n</ul>\nA 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>.\n</p>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_TRAN@DF_SERVICE_ACCESS(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"SERVICE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"TRAVEL_TIME","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=BE001F+BE002F+BE003F+BE004F+BE005F+BE006F+BE007F+BE009F+BE010F+BE011F+BE012F+BE013F+BE014F+BE015F,TRAVEL_TIME=MN_LE15","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_TRAN(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_TRAN@DF_TRAN_COMMUT(1.1)":{"id":"DSD_FUA_TRAN@DF_TRAN_COMMUT","name":"Main mode of transport to work - FUAs","description":"<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>\n\n<h3>Data sources and methodology</h3>\n<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>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_TRAN@DF_TRAN_COMMUT(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"TRAN_MODE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"UNIT_MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_TRAN(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_TRAN@DF_TRAN_PERF(1.1)":{"id":"DSD_FUA_TRAN@DF_TRAN_PERF","name":"Transport performance - FUAs","description":"<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>\n\n<h3>Data sources and methodology</h3>\n<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:\n<ul>\n  <li>General Transit Feed Specification (GTFS) data on travel times and stops;</li>\n  <li>OpenStreetMap (OSM) road network data;</li>\n  <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>\n  <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>\n</ul>\nA 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>\n\n<h3>Defining FUAs and cities</h3>\n<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:\n<ol>\n  <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>\n  <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li>\n</ol>\nThe delineation process includes:\n<ul>\n  <li>Assigning municipalities surrounded by a single FUA to that FUA.</li>\n  <li>Excluding non-contiguous municipalities.</li>\n</ul>\nThe definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p>\n\n<h3>Cite this dataset</h3>\n<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>\n\n<h3>Further information</h3>\n<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>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_FUA_TRAN@DF_TRAN_PERF(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"OBS_STATUS=A,FREQ=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_FUA_TRAN(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_AIR_POLLUTION_DDOWN@DF_AIR_POLLUTION_DDOWN(1.0)":{"id":"DSD_LA_AIR_POLLUTION_DDOWN@DF_AIR_POLLUTION_DDOWN","name":"Exposure to air pollution - Local areas","description":"<p>This dataset provides estimates on the exposure to air pollution in OECD Local Areas. </p>\n\n<p>\nAir 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>\n\n<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>\n\n<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>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/methodology.html?indicator=NO2_POP_W_MEAN&topic=environment\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_AIR_POLLUTION_DDOWN@DF_AIR_POLLUTION_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2022,DD_DIM=_T,POLLUTANT=PM2_5","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_AIR_POLLUTION_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_AIR_TEMP_DDOWN@DF_AIR_TEMP_DDOWN(1.0)":{"id":"DSD_LA_AIR_TEMP_DDOWN@DF_AIR_TEMP_DDOWN","name":"Air temperature trends - Local areas","description":"<p>This dataset provides air temperature trends in OECD Local Areas. </p>\n\n<p>\nTemperature 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.\n</p>\n\n<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>\n\n<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>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/methodology.html?topic=climate&indicator=AIR_TEMP2M\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_AIR_TEMP_DDOWN@DF_AIR_TEMP_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2019,DD_DIM=_T,MEASURE=AIR_TEMP2M","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_AIR_TEMP_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_COASTAL_FLOOD_DDOWN@DF_COASTAL_FLOOD_DDOWN(1.0)":{"id":"DSD_LA_COASTAL_FLOOD_DDOWN@DF_COASTAL_FLOOD_DDOWN","name":"Coastal flooding - Local areas","description":"<p>This dataset provides estimates on the share of population exposed to coastal flooding in OECD Local Areas. </p>\n\n<p>\nPopulation 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.\n</p>\n\n<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>\n\n<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>\n\n<h3>Data sources and methodology</h3>\nSee 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.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_COASTAL_FLOOD_DDOWN@DF_COASTAL_FLOOD_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2022,DD_DIM=_T","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_COASTAL_FLOOD_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_DEGREE_DAYS_DDOWN@DF_DEGREE_DAYS_DDOWN(1.0)":{"id":"DSD_LA_DEGREE_DAYS_DDOWN@DF_DEGREE_DAYS_DDOWN","name":"Cooling and heating degree days - Local areas","description":"<p>\nThis dataset provides municipal and local area statistics on Cooling and Heating Degree Days (CDDs and HDDs)</p>\n\n<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>\n\n<p>\nCDDs 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).\nCooling Degree Days are assessed based on ERA5-Land using the average annual air temperature at 2 meters height.\n</p>\n\n<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>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/methodology.html?topic=energy&indicator=CDD_T_22C\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_DEGREE_DAYS_DDOWN@DF_DEGREE_DAYS_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2022,DD_DIM=_T,MEASURE=HDD","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_DEGREE_DAYS_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_DEGURBA_DDOWN@DF_DEGURBA_DDOWN(1.0)":{"id":"DSD_LA_DEGURBA_DDOWN@DF_DEGURBA_DDOWN","name":"Degree of urbanisation - Local areas","description":"<p>This dataset provides the degree of urbanisation in OECD Local Areas. </p>\n\n<p>\nThe 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. \n </p>\n\n<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>\n\n <b>The full dataset can be downloaded here: <a href=\"\">Download Microdata </a></b>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/?indicator=DEGURBA_L1&topic=ghsl\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_DEGURBA_DDOWN@DF_DEGURBA_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,UNIT_MEASURE,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2019,DD_DIM=_T","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_DEGURBA_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_DEMO_DDOWN@DF_POP_DENSITY_DDOWN(1.0)":{"id":"DSD_LA_DEMO_DDOWN@DF_POP_DENSITY_DDOWN","name":"Population density - Local areas","description":"<p>This dataset provides population density values in OECD Local Areas. </p>\n\n<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>\n\n <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>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/?indicator=POP_DENS&topic=ghsl\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_DEMO_DDOWN@DF_POP_DENSITY_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,UNIT_MEASURE,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2019,DD_DIM=_T","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_DEMO_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_DEMO_POP_AGE_DDOWN@DF_POP_AGE_DDOWN(1.1)":{"id":"DSD_LA_DEMO_POP_AGE_DDOWN@DF_POP_AGE_DDOWN","name":"Population by age and sex - Local areas","description":"<p>This dataset provides population counts by age and sex groups in OECD Local Areas. </p>\n\n<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>\n\n<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>\n\n <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>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/index.html?indicator=WORKAGE_SH&topic=demography\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.1","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_DEMO_POP_AGE_DDOWN@DF_POP_AGE_DDOWN(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2020,DD_DIM=_T,SEX=_T,AGE=_T","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,SEX,AGE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_DEMO_POP_AGE_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_ENV_GREEN_AREA_DDOWN@DF_GREEN_AREA_DDOWN(1.0)":{"id":"DSD_LA_ENV_GREEN_AREA_DDOWN@DF_GREEN_AREA_DDOWN","name":"Green areas - Local areas","description":"<p>This dataset provides green areas estimates for OECD Local Areas. </p> \n\n<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>\n\n<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>\n<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>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/?indicator=GREEN_AREA_SHARE&topic=environment\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_ENV_GREEN_AREA_DDOWN@DF_GREEN_AREA_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2019,DD_DIM=_T","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_ENV_GREEN_AREA_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_ENV_LAND_COVER_DDOWN@DF_LAND_COVER_DDOWN(1.0)":{"id":"DSD_LA_ENV_LAND_COVER_DDOWN@DF_LAND_COVER_DDOWN","name":"Land Cover - Local areas","description":"<p>This dataset provides land cover estimates for OECD Local Areas. </p> \n\n<p>The land use and land cover indicators are based on the WorldCover dataset. The land cover classes available are: \n<ul>\n<li>Bare area</li>\n<li>Built-up area</li>\n<li>Inland water</li>\n<li>Natural and semi-natural vegetated land</li>\n<li>Agricultural area’ and ‘Wetland’</li>\n</ul></p>\n\n<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>\n\n<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>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/index.html?indicator=WORKAGE_SH&topic=demography\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_ENV_LAND_COVER_DDOWN@DF_LAND_COVER_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2019,DD_DIM=_T","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_CLIMATE_DDAYS_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_EXTREME_TEMP_DDOWN@DF_EXTREME_TEMP_DDOWN(1.0)":{"id":"DSD_LA_EXTREME_TEMP_DDOWN@DF_EXTREME_TEMP_DDOWN","name":"Extreme temperatures - Local areas","description":"<p>This dataset provides extreme temperature trends, such as hot and icing days and tropical nights in OECD Local Areas. </p>\n\n<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>\n\n<p>\nHot 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.\n</p>\n\n<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>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/methodology.html?topic=climate&indicator=HOT_DAYS\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_EXTREME_TEMP_DDOWN@DF_EXTREME_TEMP_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_EXTREME_TEMP_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_FIRE_DDOWN@DF_FIRE_DDOWN(1.0)":{"id":"DSD_LA_FIRE_DDOWN@DF_FIRE_DDOWN","name":"Share of burned areas - Local areas","description":"<p>This dataset provides estimates on the shared of burned areas in OECD Local Areas. </p>\n\n<p>\nBurned 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.\n</p>\n\n<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>\n\n<b>The full dataset can be downloaded here: <a href=\"\">Download Microdata </a></b>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/methodology.html?indicator=FIRE_TOTAL_AREA_SH\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_FIRE_DDOWN@DF_FIRE_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2022,DD_DIM=_T","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_FIRE_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_GHSL_BUILT_DDOWN@DF_BUILT_DDOWN(1.0)":{"id":"DSD_LA_GHSL_BUILT_DDOWN@DF_BUILT_DDOWN","name":"Land cover built up area - Local areas","description":"<p>This dataset provides land cover built up area estimates for OECD Local Areas. </p> \n\n<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: \n<ul>\n<li>Residential built-up</li>\n<li>Non-residential built-up</li>\n<li>Total built-up</li>\n</ul>\n</p>\n\n<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>\n\n<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>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/?indicator=BUILT_S__T&topic=ghsl\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_GHSL_BUILT_DDOWN@DF_BUILT_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,UNIT_MEASURE,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2019,MEASURE=SURFACE,DD_DIM=_T","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_GHSL_BUILT_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_HOUSING_DDOWN@DF_HEATING_FUEL_DDOWN(1.0)":{"id":"DSD_LA_HOUSING_DDOWN@DF_HEATING_FUEL_DDOWN","name":"Energy used for heating in dwellings - Local areas","description":"<p>This dataset provides estimates on the energy used for heating in dwellings for OECD Local Areas. </p> \n\n<p>The energy sources used for heating in dwellings include electricity, natural gas, district heating, fuel oil, coal, biomass, and other sources.\n</p>\n\n<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>\n\n<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>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/?indicator=MAIN_ENER_HEAT&topic=housing\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_HOUSING_DDOWN@DF_HEATING_FUEL_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,UNIT_MEASURE,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2019,MEASURE=ELEC,DD_DIM=_T","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_HOUSING_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_LABOUR_DDOWN@DF_EMPLOYMENT_DDOWN(1.0)":{"id":"DSD_LA_LABOUR_DDOWN@DF_EMPLOYMENT_DDOWN","name":"Employment by age group and sex - Local Areas","description":"<p>This dataset provides employment rates and number of employed people by age and sex for OECD Local Areas. </p> \n\n<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>\n\n<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>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/index.html?indicator=WORKAGE_SH&topic=demography\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_LABOUR_DDOWN@DF_EMPLOYMENT_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2019,SEX=_T,AGE=Y15T64,MEASURE=EMP_RATIO,DD_DIM=_T","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_LABOUR_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_PRECIPITATION_DDOWN@DF_PRECIPITATION_DDOWN(1.0)":{"id":"DSD_LA_PRECIPITATION_DDOWN@DF_PRECIPITATION_DDOWN","name":"Precipitation - Local areas","description":"<p>This dataset provides trends on total precipitation and extreme precipitation days in OECD Local Areas. </p>\n\n<p>\nTotal 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.\n\nChanges in total precipitation and extreme precipitation days are reported relative to the 1981–2010 baseline average. All values are given in millimetres (mm).\n</p>\n\n<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>\n\n<b>The full dataset can be downloaded here: <a href=\"\">Download Microdata </a></b>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/methodology.html?topic=climate&indicator=PRECIP_SUM\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_PRECIPITATION_DDOWN@DF_PRECIPITATION_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0,UNIT_MEASURE=MM","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2022,DD_DIM=_T,MEASURE=PRECIP_SUM","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_PRECIPITATION_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_PROT_AREAS_DDOWN@DF_PROT_AREAS_DDOWN(1.0)":{"id":"DSD_LA_PROT_AREAS_DDOWN@DF_PROT_AREAS_DDOWN","name":"Protected areas - Local areas","description":"<p>This dataset provides estimates on the share and coverage of Protected Areas in OECD Local Areas. </p>\n\n<p>\nProtected 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>\n\n<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>\n\n<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>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/methodology.html?topic=environment&indicator=PROTECTED_AREA_SH\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_PROT_AREAS_DDOWN@DF_PROT_AREAS_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2022,DD_DIM=_T,UNIT_MEASURE=KM2","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_PROT_AREAS_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_RIVER_FLOOD_DDOWN@DF_RIVER_FLOOD_DDOWN(1.0)":{"id":"DSD_LA_RIVER_FLOOD_DDOWN@DF_RIVER_FLOOD_DDOWN","name":"River flooding - Local areas","description":"<p>This dataset provides estimates on the share of population exposed to river flooding in OECD Local Areas. </p>\n\n<p>\nPopulation 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.\n</p>\n\n<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>\n\n<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>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/methodology.html?indicator=RIVER_FLOOD_RP100_POP_SH\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_RIVER_FLOOD_DDOWN@DF_RIVER_FLOOD_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2022,DD_DIM=_T","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_RIVER_FLOOD_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_SOIL_MOISTURE_DDOWN@DF_SOIL_MOISTURE_DDOWN(1.0)":{"id":"DSD_LA_SOIL_MOISTURE_DDOWN@DF_SOIL_MOISTURE_DDOWN","name":"Soil moisture - Local areas","description":"<p>This dataset provides soil moisture trends in OECD Local Areas. </p>\n\n<p>\nSoil 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. \n</p>\n\n<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>\n\n\n<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>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/methodology.html?indicator=SOIL_MOIST_L1_CH_1981_2010\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_SOIL_MOISTURE_DDOWN@DF_SOIL_MOISTURE_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2022,DD_DIM=_T,MEASURE=HDD","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_SOIL_MOISTURE_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_TRANSPORT_DDOWN@DF_COMMUTING_MODE_DDOWN(1.0)":{"id":"DSD_LA_TRANSPORT_DDOWN@DF_COMMUTING_MODE_DDOWN","name":"Main mode of transport to work - Local Areas","description":"<p>This dataset provides mode of transport to work estimates for OECD Local Areas. </p> \n\n<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> \n\n<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>\n\n<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>\n\n<h3>Data sources and methodology</h3>\nSee the <a href=\"https://localdatahub-pp.oecd.org/index.html?indicator=WORKAGE_SH&topic=demography\" >Local Data Portal</a> for more information.\n\n<h3>Further information</h3>\nFor any question or comment, please write to <a href=\"mailto: RegionStat@oecd.org\">RegionStat@oecd.org</a>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_LA_TRANSPORT_DDOWN@DF_COMMUTING_MODE_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2019,MEASURE=COMMUT_PUBLIC_TRANSPORT,UNIT_MEASURE=PT_WR,DD_DIM=_T","type":"DEFAULT"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"LOCAL_AREA_NAME,MEASURE,OBS_VALUE","type":"DRILLDOWN_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_LA_TRANSPORT_DDOWN(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_CLIM@DF_CDD_HDD(1.0)":{"id":"DSD_REG_CLIM@DF_CDD_HDD","name":"Cooling and heating degree days - Regions","description":"<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>\n<p><strong>Data definition and source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_CLIM@DF_CDD_HDD(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_CLIM(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_CLIM@DF_CLIM(1.0)":{"id":"DSD_REG_CLIM@DF_CLIM","name":"Climate hasard statistics - Regions","description":"<p style=\"text-align: justify;\">This dataset provides subnationaltional statistics on environment and climate, in small and large regions.</p>\n<p><strong>Regions and territorial levels</strong></p>\n<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>\n<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>\n<p><strong>Regional typologies</strong></p>\n<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>\n<ul>\n<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>\n<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>\n</ul>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<p>Subnational statistics can be further explored with:</p>\n<ul>\n<li>The interactive web-tool <a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>For any question or comment, please write to&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_CLIM@DF_CLIM(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_CLIM(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_CLIM@DF_FIRES(1.0)":{"id":"DSD_REG_CLIM@DF_FIRES","name":"Wildfires - Regions","description":"<p style=\"text-align: justify;\">This dataset provides regional statistics on exposure to wildfires, in large (TL2) and small (TL3) regions.</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_CLIM@DF_FIRES(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_CLIM(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_CLIM@DF_FLOOD(1.0)":{"id":"DSD_REG_CLIM@DF_FLOOD","name":"River and coastal flooding - Regions","description":"<p style=\"text-align: justify;\">This dataset provides subnational statistics on exposure to coastal and river flooding, in TL2 and TL3 regions.&nbsp;</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_CLIM@DF_FLOOD(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_CLIM(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_CLIM@DF_HEAT_STRESS(1.0)":{"id":"DSD_REG_CLIM@DF_HEAT_STRESS","name":"Heat stress - Regions","description":"<p style=\"text-align: justify;\">This dataset provides regional statistics on population exposure to heat stress, in large (TL2) and small (TL3) regions.</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_CLIM@DF_HEAT_STRESS(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_CLIM(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_DEATH_5Y(2.0)":{"id":"DSD_REG_DEMO@DF_DEATH_5Y","name":"Deaths by by 5-year age groups - Regions","description":"<p>This dataset provides regional satistics on deaths and mortality rates, in large regions (TL2) and small regions (TL3).</p>\n<p><strong>Data definition and source</strong></p>\n<ul>\n<li><strong>Deaths by 5-year age group</strong> are reported according to the last place of residence of the deceased person.</li>\n<li><strong>Crude death rate</strong> is the number of deaths per 1 000 population.</li>\n<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>\n</ul>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of data on small regions</strong></p>\n<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>\n<p><strong>Territorial typologies</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_DEATH_5Y(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE,SEX,AGE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_DEMO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_DEMO(2.0)":{"id":"DSD_REG_DEMO@DF_DEMO","name":"Demography statistics - Regions (for 'Developer API')","description":"<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>\n<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>\n<p style=\"text-align: justify;\"><strong>Indicators covered</strong></p>\n<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>\n<p><strong>Data definition and sources</strong></p>\n<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>\n<p><strong>Regions and territorial levels</strong></p>\n<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>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<p>Subnational statistics can be further explored with:</p>\n<ul>\n<li>The interactive web-tool <a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>For any question or comment, please write to&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_DEMO(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_DEMO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_DENSITY(2.0)":{"id":"DSD_REG_DEMO@DF_DENSITY","name":"Population density - Regions","description":"<p>This dataset provides regional data on population density and land areas, for large regions (TL2) and small regions (TL3).</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of data on small regions</strong></p>\n<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>\n<p><strong>Territorial typologies</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_DENSITY(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_DEMO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_DEPEND(2.0)":{"id":"DSD_REG_DEMO@DF_DEPEND","name":"Dependency rates - Regions","description":"<p>This dataset provides regional data on dependency rates, for large regions (TL2) and small regions (TL3).</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of data on small regions</strong></p>\n<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>\n<p><strong>Territorial typologies</strong></p>\n<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>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_DEPEND(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,AGE,UNIT_MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_DEMO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_FERTILITY(2.0)":{"id":"DSD_REG_DEMO@DF_FERTILITY","name":"Fertility - Regions","description":"<p>This dataset provides regional statistics on births and fertility, in large regions (TL2) and small regions (TL3).</p>\n<p><strong>Data definition and source</strong></p>\n<ul>\n<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>\n<li>Live births are registered at the usual place fo residence of the mother. Crude live birth rate is expressed for 1000 population.</li>\n<li>Child-to-woman ratio&nbsp;is the number of children aged 0 to 4 in over women aged 15 to 49.</li>\n</ul>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of data on small regions</strong></p>\n<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>\n<p><strong>Territorial typologies</strong></p>\n<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>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_FERTILITY(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"AGE,SEX,UNIT_MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_DEMO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_LIFE_EXP(2.0)":{"id":"DSD_REG_DEMO@DF_LIFE_EXP","name":"Life expectancy - Regions","description":"<p>This dataset provides regional data on on life expectancy at birth, for large regions (TL2) and small regions (TL3) when available.</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Territorial typologies</strong></p>\n<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>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_LIFE_EXP(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_DEMO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_MIGR_FLOW(2.0)":{"id":"DSD_REG_DEMO@DF_MIGR_FLOW","name":"International migration flows - Regions","description":"<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>\n<p style=\"text-align: justify;\"><strong>Data source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of data on small regions</strong></p>\n<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>\n<p><strong>Territorial typologies</strong></p>\n<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>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_MIGR_FLOW(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_DEMO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_MOBILITY(2.0)":{"id":"DSD_REG_DEMO@DF_MOBILITY","name":"Population mobility within the country - Regions","description":"<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>\n<p style=\"text-align: justify;\"><strong>Data source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of data on small regions</strong></p>\n<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>\n<p><strong>Territorial typologies</strong></p>\n<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>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_MOBILITY(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_DEMO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_POP_5Y(2.0)":{"id":"DSD_REG_DEMO@DF_POP_5Y","name":"Population by 5-year age groups - Regions","description":"<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>\n<p><strong>Data definition and source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of data on small regions</strong></p>\n<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>\n<p><strong>Territorial typologies</strong></p>\n<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>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_POP_5Y(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,AGE,UNIT_MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_DEMO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_POP_BROAD(2.0)":{"id":"DSD_REG_DEMO@DF_POP_BROAD","name":"Population by broad age groups - Regions","description":"<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>\n<p><strong>Data definition and source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of data on small regions</strong></p>\n<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>\n<p><strong>Territorial typologies</strong></p>\n<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>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_POP_BROAD(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,AGE,UNIT_MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_DEMO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_REGION_TYPE_METRO(2.0)":{"id":"DSD_REG_DEMO@DF_REGION_TYPE_METRO","name":"Demographic indicators by access to city typology","description":"<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>\n<p><strong>Data source and definition</strong></p>\n<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>\n<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>\n<p><strong> Territorial typology on population's access to cities</strong></p>\n<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>\n<ul>\n<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>\n<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>\n</ul>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a>http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a>OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<li>The report <a>OECD Regions and Cities at a Glance</a></li>\n</ul>\n<p>Contact:&nbsp;<a>RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_REGION_TYPE_METRO(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"TERRITORIAL_TYPE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL,MEASURE,UNIT_MEASURE,SEX,AGE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,COUNTRY,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SEX=_T,AGE=_T,MEASURE=POP,UNIT_MEASURE=PT_POP","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_TERRITORIAL_TYPE:TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_TERRITORIAL_TYPE:Territorial typology;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_DEMO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_REGION_TYPE_RURB(2.0)":{"id":"DSD_REG_DEMO@DF_REGION_TYPE_RURB","name":"Demographic indicators by urban-rural typology","description":"<p>This dataset provides demographic indicators aggregated at national level and broken down by regional urban-rural typology.</p>\n<p style=\"text-align: justify;\"><strong>Data source and definition</strong></p>\n<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>\n<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>\n<p style=\"text-align: justify;\"><strong> Territorial typology based on urban-rural population</strong></p>\n<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>\n<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>\n<p style=\"text-align: justify;\"><strong>Cite this dataset</strong></p>\n<p style=\"text-align: justify;\">OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p style=\"text-align: justify;\"><strong>Further information</strong></p>\n<ul style=\"text-align: justify;\">\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p style=\"text-align: justify;\">Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_DEMO@DF_REGION_TYPE_RURB(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"TERRITORIAL_TYPE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL,MEASURE,UNIT_MEASURE,SEX,AGE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,COUNTRY,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SEX=_T,AGE=_T,MEASURE=POP,UNIT_MEASURE=PT_POP","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_TERRITORIAL_TYPE:TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_TERRITORIAL_TYPE:Territorial typology;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_DEMO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_ECO(2.0)":{"id":"DSD_REG_ECO@DF_ECO","name":"Economic statistics - Regions (for 'Developer API')","description":"<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>\n<p><strong>Regions and territorial levels</strong></p>\n<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>\n<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>\n<p><strong>Regional typologies</strong></p>\n<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>\n<ul>\n<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>\n<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>\n</ul>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<p>Subnational statistics can be further explored with:</p>\n<ul>\n<li>The interactive web-tool <a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>For any question or comment, please write to&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_ECO(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,ACTIVITY","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ECO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_EMP(2.0)":{"id":"DSD_REG_ECO@DF_EMP","name":"Employment by main economic activity - Regions","description":"<p>This dataset provides statistics on employment by 10 broad activities and labour utlisation, for large regions (TL2) and small regions (TL3).</p>\n<p><strong>Data source and definition</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of economic data on small regions</strong></p>\n<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>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_EMP(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTRY,REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,ACTIVITY","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ECO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_GDP(2.0)":{"id":"DSD_REG_ECO@DF_GDP","name":"Gross domestic product - Regions","description":"<p>This dataset provides statistics on gross domestic product and gross domestic product per capita, for large regions (TL2) and small regions (TL3).</p>\n<p><strong>Data source and definition</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of economic data on small regions</strong></p>\n<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>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_GDP(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTRY,REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,ACTIVITY","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ECO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_GVA(2.0)":{"id":"DSD_REG_ECO@DF_GVA","name":"Gross value added by main economic activity - Regions","description":"<p>This dataset provides statistics on gross value added by broad 10 activities, for large regions (TL2) and small regions (TL3).</p>\n<p><strong>Data source and definition</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of economic data on small regions</strong></p>\n<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>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_GVA(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTRY,REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,ACTIVITY","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ECO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_INC(2.0)":{"id":"DSD_REG_ECO@DF_INC","name":"Income - Regions","description":"<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>\n<p><strong>Data source a</strong><strong>nd definition</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of economic data on small regions</strong></p>\n<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>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_INC(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTRY,REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,ACTIVITY","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ECO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_LPR(2.0)":{"id":"DSD_REG_ECO@DF_LPR","name":"Labour productivity by main economic activity - Regions","description":"<p>This dataset provides statistics on labour productivity, for large regions (TL2) and small regions (TL3).</p>\n<p><strong>Data source and definition</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of economic data on small regions</strong></p>\n<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>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_LPR(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTRY,REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,ACTIVITY","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ECO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_TRAD(2.0)":{"id":"DSD_REG_ECO@DF_TRAD","name":"International trade - Regions","description":"<p style=\"text-align: justify;\">This dataset provides statistics on international trade in goods, for large regions (TL2) and small regions (TL3).</p>\n<p><strong>Data source and definition</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of economic data on small regions</strong></p>\n<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>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_TRAD(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTRY,REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,ACTIVITY","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"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","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ECO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_TYPE_METRO(2.0)":{"id":"DSD_REG_ECO@DF_TYPE_METRO","name":"Economic indicators by access to city typology","description":"<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>\n<p style=\"text-align: justify;\"><strong>Data source and definition</strong></p>\n<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>\n<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>\n<p><strong> Territorial typology on the population's access to cities</strong></p>\n<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>\n<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>\n<ul>\n<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>\n<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>\n</ul>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_TYPE_METRO(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"TERRITORIAL_TYPE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL,MEASURE,ACTIVITY,UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"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","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_TERRITORIAL_TYPE:Territorial typology;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ECO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_TYPE_RURB(2.0)":{"id":"DSD_REG_ECO@DF_TYPE_RURB","name":"Economic indicators by urban-rural territorial typology","description":"<p>This dataset provides economic indicators aggregated at national level and broken down by urban-rural territorial typology.</p>\n<p style=\"text-align: justify;\"><strong>Data source and definition</strong></p>\n<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>\n<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>\n<p style=\"text-align: justify;\"><strong> Territorial typology based on urban-rural population</strong></p>\n<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>\n<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>\n<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>\n<p style=\"text-align: justify;\"><strong>Cite this dataset</strong></p>\n<p style=\"text-align: justify;\">OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p style=\"text-align: justify;\"><strong>Further information</strong></p>\n<ul style=\"text-align: justify;\">\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p style=\"text-align: justify;\">Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO@DF_TYPE_RURB(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"TERRITORIAL_TYPE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL,MEASURE,ACTIVITY,UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"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","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_TERRITORIAL_TYPE:Territorial typology;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ECO(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO_ROPI@DF_ECO_ROPI(2.0)":{"id":"DSD_REG_ECO_ROPI@DF_ECO_ROPI","name":"Economic statistics ROPI-adjusted for inflation - Regions (for 'Developer API')","description":"<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>\n<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>\n<p><strong>Dataflows covered</strong></p>\n<ul>\n<li>Real gross domestic product (ROPI-adjusted for inflation) - Regions</li>\n<li>Real gross value added by main economic activity (ROPI-adjusted for inflation) - Regions</li>\n<li>Real labour productivity by main economic activity (ROPI-adjusted for inflation) - Regions</li>\n</ul>\n<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>\n<p><strong>Regions and territorial levels</strong></p>\n<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>\n<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>\n<p><strong>Use of economic data on small regions</strong></p>\n<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>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<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>\n<p>For any question or comment, please write to&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO_ROPI@DF_ECO_ROPI(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,ACTIVITY","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ECO_ROPI(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO_ROPI@DF_GDP_ROPI(2.0)":{"id":"DSD_REG_ECO_ROPI@DF_GDP_ROPI","name":"Real gross domestic product (ROPI-adjusted for inflation) - Regions","description":"<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>\n<p>&nbsp;<strong>Data source and definition</strong></p>\n<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>\n<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>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of economic data on small regions</strong></p>\n<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>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO_ROPI@DF_GDP_ROPI(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTRY,REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,ACTIVITY","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ECO_ROPI(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO_ROPI@DF_GVA_ROPI(2.0)":{"id":"DSD_REG_ECO_ROPI@DF_GVA_ROPI","name":"Real gross value added by main economic activity (ROPI-adjusted for inflation) - Regions","description":"<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>\n<p><strong>Data source and definition</strong></p>\n<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>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of economic data on small regions</strong></p>\n<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>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO_ROPI@DF_GVA_ROPI(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTRY,REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,ACTIVITY","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ECO_ROPI(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO_ROPI@DF_LPR_ROPI(2.0)":{"id":"DSD_REG_ECO_ROPI@DF_LPR_ROPI","name":"Real labour productivity by main economic activity (ROPI-adjusted for inflation) - Regions","description":"<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>\n<p><strong>Data source and definition</strong></p>\n<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>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of economic data on small regions</strong></p>\n<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>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ECO_ROPI@DF_LPR_ROPI(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTRY,REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,ACTIVITY","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ECO_ROPI(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_EDU@DF_ATTAIN(2.0)":{"id":"DSD_REG_EDU@DF_ATTAIN","name":"Educational attainment - Regions","description":"<p>This dataset provides statistics on educational attainement in large regions (TL2).</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_EDU@DF_ATTAIN(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTRY,REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,EDUCATION_LEV,SEX,AGE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_EDU(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_EDU@DF_EDU(2.0)":{"id":"DSD_REG_EDU@DF_EDU","name":"Education statistics - Regions (for 'Developer API')","description":"<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>\n<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>\n<p style=\"text-align: justify;\"><strong>Indicators covered</strong></p>\n<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>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<p>Subnational statistics can be further explored with:</p>\n<ul>\n<li>The interactive web-tool <a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>For any question or comment, please write to&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_EDU@DF_EDU(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,COUNTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8,CL_AGGREGATION_OPERATION=MEAN","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_EDU(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_EDU@DF_EMP(2.0)":{"id":"DSD_REG_EDU@DF_EMP","name":"Employment by level of education - Regions","description":"<p>This dataset provides statistics on employment rates by level of education in large regions (TL2).</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_EDU@DF_EMP(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTRY,REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,EDUCATION_LEV,SEX,AGE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_EDU(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_EDU@DF_ENROL(2.0)":{"id":"DSD_REG_EDU@DF_ENROL","name":"Students enrolment - Regions","description":"<p>This dataset provides statistics on enrolment rates by age in large regions (TL2).</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_EDU@DF_ENROL(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTRY,REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,EDUCATION_LEV,SEX,AGE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_EDU(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_EDU@DF_EXCLU(2.0)":{"id":"DSD_REG_EDU@DF_EXCLU","name":"Youth exclusion from education - Regions","description":"<p>This dataset provides statistics on the exclusion of young people from education, NEETs and early leavers in large regions (TL2).</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_EDU@DF_EXCLU(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTRY,REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,EDUCATION_LEV,SEX,AGE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_EDU(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_EDU@DF_TRAINING(2.0)":{"id":"DSD_REG_EDU@DF_TRAINING","name":"Adult training - Regions","description":"<p>This dataset provides statistics on adult training in large regions (TL2).</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_EDU@DF_TRAINING(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTRY,REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,EDUCATION_LEV,SEX,AGE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_EDU(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ENV@DF_AIR_POLLUT(1.0)":{"id":"DSD_REG_ENV@DF_AIR_POLLUT","name":"Exposure to air pollution - Regions","description":"<p style=\"text-align: justify;\">This dataset provides statistics on air pollution in large (TL2) and small (TL3) regions.</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ENV@DF_AIR_POLLUT(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ENV(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ENV@DF_ELEC(1.0)":{"id":"DSD_REG_ENV@DF_ELEC","name":"Electricity generation - Regions","description":"<p style=\"text-align: justify;\">This dataset provides statistics on electricity generation in large (TL2) and small (TL3) regions.</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ENV@DF_ELEC(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ENV(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ENV@DF_ENV(1.0)":{"id":"DSD_REG_ENV@DF_ENV","name":"Environment statistics - Regions","description":"<p style=\"text-align: justify;\">This dataset provides subnationaltional statistics on environment and climate, in small and large regions.</p>\n<p><strong>Regions and territorial levels</strong></p>\n<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>\n<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>\n<p><strong>Regional typologies</strong></p>\n<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>\n<ul>\n<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>\n<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>\n</ul>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<p>Subnational statistics can be further explored with:</p>\n<ul>\n<li>The interactive web-tool <a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>For any question or comment, please write to&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ENV@DF_ENV(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ENV(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ENV@DF_GHG(1.0)":{"id":"DSD_REG_ENV@DF_GHG","name":"Greenhouse gas emissions - Regions","description":"<p style=\"text-align: justify;\">This dataset provides statistics on greenhouse gaz emissions (GHG) in large (TL2) and small (TL3) regions.</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ENV@DF_GHG(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE,UNIT_MULT","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"MEASURE:MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"MEASURE:Measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ENV(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ENV@DF_WASTE(1.0)":{"id":"DSD_REG_ENV@DF_WASTE","name":"Waste treatment - Regions","description":"<p style=\"text-align: justify;\">This dataset provides statistics on municipal waste and wastewater treatment in large (TL2) and small (TL3) regions.</p>\n<p><strong>Data definition and source</strong></p>\n<ul>\n<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>\n<li><strong>Wasterwater treated</strong> is measured by the share of population connected to at least secondary wastewater treatment.</li>\n</ul>\n<p>Data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_ENV@DF_WASTE(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TRANSFORMATION","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_ENV(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_HEALTH@DF_CARE(2.0)":{"id":"DSD_REG_HEALTH@DF_CARE","name":"Health care - Regions","description":"<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>\n<p><strong>Data definition and source</strong></p>\n<ul>\n<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>\n<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>\n<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>\n</ul>\n<p style=\"padding-left: 40px;\">The three indicators above are measured per 1 000 inhabitants.</p>\n<ul>\n<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>\n</ul>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_HEALTH@DF_CARE(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z)","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_HEALTH(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_HEALTH@DF_HEALTH(2.0)":{"id":"DSD_REG_HEALTH@DF_HEALTH","name":"Health statistics - Regions","description":"<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of data on small regions</strong></p>\n<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>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_HEALTH@DF_HEALTH(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,SEX=_Z,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_HEALTH(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_HEALTH@DF_RISK(2.0)":{"id":"DSD_REG_HEALTH@DF_RISK","name":"Health risks - Regions","description":"<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>\n<p><strong>Data definition and source</strong></p>\n<ul>\n<li><strong>Obesity rate</strong> is the percentage of population 15 years old or more with a BMI&gt;30 kg/m<sup>2</sup>. The Body Mass Index (BMI) is a single number that evaluates an individual's weight status in relation to height (weight/height<sup>2</sup>) with weight in kilograms and height in meters.</li>\n<li><strong>Population exposure to fine particule PM2.5</strong> provide an estimate of the population-weighted average of PM2.5 concentration.</li>\n<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>\n<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>\n</ul>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Use of data on small regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_HEALTH@DF_RISK(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_HEALTH(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_HEALTH@DF_STATUS(2.0)":{"id":"DSD_REG_HEALTH@DF_STATUS","name":"Health status - Regions","description":"<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>\n<p><strong>Data definition and source</strong></p>\n<ul>\n<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>\n<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>\n<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>\n<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>\n</ul>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_HEALTH@DF_STATUS(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_HEALTH(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_LAB@DF_LEVELS(2.0)":{"id":"DSD_REG_LAB@DF_LEVELS","name":"Labour indicators levels - Regions","description":"<p>This dataset provides labour force, employment and unemployment levels, for large regions (TL2) and small regions (TL3) when available.</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Territorial typologies</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_LAB@DF_LEVELS(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_LABOUR(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_LAB@DF_PART_TIME(2.0)":{"id":"DSD_REG_LAB@DF_PART_TIME","name":"Part-time employment - Regions","description":"<p>This dataset provides part-time employment incidence, for large regions (TL2) and small regions (TL3) when available.</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Territorial typologies</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_LAB@DF_PART_TIME(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_LABOUR(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_LAB@DF_RATES(2.0)":{"id":"DSD_REG_LAB@DF_RATES","name":"Labour indicators rates - Regions","description":"<p>This dataset provides participation rate, employment to population ratio and unemployment rate, for large regions (TL2) and small regions (TL3) when available.</p>\n<p><strong>Data definition and source</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Territorial typologies</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_LAB@DF_RATES(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_LABOUR(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_LAB@DF_TEMPORARY(2.0)":{"id":"DSD_REG_LAB@DF_TEMPORARY","name":"Temporary employees - Regions","description":"<p>This dataset provides the share of closed fixed term employment contracts for large regions (TL2) and small regions (TL3) when available.</p>\n<p><strong>Data definition and source</strong></p>\n<p>Data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Territorial typologies</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_LAB@DF_TEMPORARY(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_LABOUR(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_LAB@DF_TYPE_METRO(2.0)":{"id":"DSD_REG_LAB@DF_TYPE_METRO","name":"Labour indicators by access to city typology","description":"<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>\n<p style=\"text-align: justify;\"><strong>Data source and definition</strong></p>\n<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>\n<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>\n<p><strong> Territorial typology on the population's access to cities</strong></p>\n<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>\n<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>\n<ul>\n<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>\n<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>\n</ul>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_LAB@DF_TYPE_METRO(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_LABOUR(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_LAB@DF_TYPE_RURB(2.0)":{"id":"DSD_REG_LAB@DF_TYPE_RURB","name":"Labour indicators by urban-rural territorial typology","description":"<p>This dataset provides labour market indicators aggregated at national level and broken down by urban-rural territorial typology.</p>\n<p style=\"text-align: justify;\"><strong>Data source and definition</strong></p>\n<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>\n<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>\n<p style=\"text-align: justify;\"><strong> Territorial typology based on urban-rural population</strong></p>\n<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>\n<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>\n<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>\n<p style=\"text-align: justify;\"><strong>Cite this dataset</strong></p>\n<p style=\"text-align: justify;\">OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p style=\"text-align: justify;\"><strong>Further information</strong></p>\n<ul style=\"text-align: justify;\">\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p style=\"text-align: justify;\">Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_LAB@DF_TYPE_RURB(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_LABOUR(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_LABOUR@DF_LAB(2.0)":{"id":"DSD_REG_LABOUR@DF_LAB","name":"Labour statistics - Regions (for 'Developer API')","description":"<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>\n<p><strong>Regions and territorial levels</strong></p>\n<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>\n<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>\n<p><strong>Regional typologies</strong></p>\n<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>\n<ul>\n<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>\n<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>\n</ul>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<p>Subnational statistics can be further explored with:</p>\n<ul>\n<li>The interactive web-tool <a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>For any question or comment, please write to&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_LABOUR@DF_LAB(2.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,COUNTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_LABOUR(2.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_MIGRANT@DF_MIGR_STOCK(1.0)":{"id":"DSD_REG_MIGRANT@DF_MIGR_STOCK","name":"Foreign-born population - Regions","description":"<p style=\"text-align: justify;\">This dataset provides statistics on foreign-born population, for large regions (TL2).</p>\n<p style=\"text-align: justify;\"><strong>Data definiton</strong></p>\n<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>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_MIGRANT@DF_MIGR_STOCK(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,EDUCATION_LEV,SEX,AGE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_MEASURE:ORIGIN,MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_MIGRANT(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_MW@DF_WASTE(1.0)":{"id":"DSD_REG_MW@DF_WASTE","name":"Waste treatment - Regions","description":"<p style=\"text-align: justify;\">This dataset provides statistics on municipal waste and wastewater treatment in large (TL2) and small (TL3) regions.</p>\n<p><strong>Data definition and source</strong></p>\n<ul>\n<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>\n<li><strong>Wasterwater treated</strong> is measured by the share of population connected to at least secondary wastewater treatment.</li>\n</ul>\n<p>Data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<ul>\n<li>The interactive web-tool&nbsp;<a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_MW@DF_WASTE(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE,UNIT_MULT","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_MW(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_PAT@DF_PAT(1.0)":{"id":"DSD_REG_PAT@DF_PAT","name":"Patent statistics - Regions","description":"<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>\n<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>\n<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>\n<p><strong>Regional typologies</strong></p>\n<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>\n<ul>\n<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>\n<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>\n</ul>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<p>Subnational statistics can be further explored with:</p>\n<ul>\n<li>The interactive web-tool <a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>For any question or comment, please write to&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_PAT@DF_PAT(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_PAT(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_SOC@DF_BROADBAND(2.2)":{"id":"DSD_REG_SOC@DF_BROADBAND","name":"Internet broadband access - Regions","description":"<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>\n<p><strong>Regions and territorial levels</strong></p>\n<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>\n<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>\n<p><strong>Regional typologies</strong></p>\n<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>\n<ul>\n<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>\n<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>\n</ul>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<p>OECD Regions and Cities databases&nbsp;<a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p>\n<p><strong>Further information</strong></p>\n<p>Subnational statistics can be further explored with:</p>\n<ul>\n<li>The interactive web-tool <a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>For any question or comment, please write to&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.2","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_SOC@DF_BROADBAND(2.2)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z)","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_SOC(2.2)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_SOC@DF_HOUSING(2.2)":{"id":"DSD_REG_SOC@DF_HOUSING","name":"Housing - Regions","description":"<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>\n<p><strong>Data definition and source</strong></p>\n<ul>\n<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>\n<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>\n<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>\n</ul>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<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>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.2","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_SOC@DF_HOUSING(2.2)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z)","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_SOC(2.2)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_SOC@DF_INCOME_INEQ(2.2)":{"id":"DSD_REG_SOC@DF_INCOME_INEQ","name":"Income inequality - Regions","description":"<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>\n<p><strong>Data definition and source</strong></p>\n<ul>\n<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>\n<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>\n</ul>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<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>\n<p>Contact:&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.2","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_SOC@DF_INCOME_INEQ(2.2)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8,MEASURE=PR_INC_DISP_PL_50","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_SOC(2.2)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_SOC@DF_SAFETY(2.2)":{"id":"DSD_REG_SOC@DF_SAFETY","name":"Safety - Regions","description":"<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>\n<p><strong>Data definition and source</strong></p>\n<ul>\n<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>\n<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>\n<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>\n</ul>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<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>\n<p><strong>Further information</strong></p>\n<p>Subnational statistics can be further explored with:</p>\n<ul>\n<li>The interactive web-tool <a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>For any question or comment, please write to&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.2","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_SOC@DF_SAFETY(2.2)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z)","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_SOC(2.2)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_SOC@DF_SOC(2.2)":{"id":"DSD_REG_SOC@DF_SOC","name":"Social statistics - Regions","description":"<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>\n<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>\n<p><strong>Indicators covered</strong></p>\n<p>Safety - Regions<br />Civic engagement - Regions<br />Private road vehicles - Regions<br />Housing - Regions<br />Income inequality - Regions</p>\n<p><strong>Regions and territorial levels</strong></p>\n<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>\n<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>\n<p><strong>Regional typologies</strong></p>\n<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>\n<ul>\n<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>\n<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>\n</ul>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<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>\n<p><strong>Further information</strong></p>\n<p>Subnational statistics can be further explored with:</p>\n<ul>\n<li>The interactive web-tool <a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>For any question or comment, please write to&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.2","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_SOC@DF_SOC(2.2)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_SOC(2.2)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_SOC@DF_VEH(2.2)":{"id":"DSD_REG_SOC@DF_VEH","name":"Private road vehicles - Regions","description":"<p>This dataset provides statistics on passenger private road motor vehicles by type of engine, in subnational regions.</p>\n<p><strong>Data definition&nbsp;</strong></p>\n<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>\n<p><strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<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>\n<p><strong>Further information</strong></p>\n<p>Subnational statistics can be further explored with:</p>\n<ul>\n<li>The interactive web-tool <a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>For any question or comment, please write to&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.2","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_SOC@DF_VEH(2.2)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z)","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_SOC(2.2)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_SOC@DF_VOTER(2.2)":{"id":"DSD_REG_SOC@DF_VOTER","name":"Civic engagement - Regions","description":"<p>This dataset provides statistics on&nbsp;voter turnout to general elections (percentage of registered voters who voted) in subnational regions.</p>\n<p>&nbsp;<strong>Definition of regions</strong></p>\n<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>\n<p><strong>Cite this dataset</strong></p>\n<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>\n<p><strong>Further information</strong></p>\n<p>Subnational statistics can be further explored with:</p>\n<ul>\n<li>The interactive web-tool <a href=\"https://regions-cities-atlas.oecd.org/\">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li>\n<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>\n</ul>\n<p>For any question or comment, please write to&nbsp;<a href=\"mailto:RegionStat@oecd.org\">RegionStat@oecd.org</a></p>","agencyID":"OECD.CFE.EDS","version":"2.2","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.EDS:DSD_REG_SOC@DF_VOTER(2.2)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TERRITORIAL_LEVEL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z)","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL","type":"COMBINED_CONCEPTS","text":"COMBINED_REF_AREA:Combined reference area"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.EDS:DSD_REG_SOC(2.2)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@COFOG(1.0)":{"id":"DSD_DASHBOARD@COFOG","name":"Subnational government expenditure by functional classification (COFOG)","description":"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>.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@COFOG(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,SECTOR","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"UNIT_MEASURE,COFOG","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"id":"@SDMX","title":"SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_DASHBOARD(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@COFOG_INV(1.0)":{"id":"DSD_DASHBOARD@COFOG_INV","name":"Subnational government investment by functional classification (COFOG)","description":"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>.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@COFOG_INV(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,SECTOR","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"UNIT_MEASURE,COFOG","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"id":"@SDMX","title":"SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_DASHBOARD(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@DEBT(1.0)":{"id":"DSD_DASHBOARD@DEBT","name":"Subnational government budget balance and debt","description":"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>.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@DEBT(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,SECTOR","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2022,TIME_PERIOD_END=2022","type":"DEFAULT"},{"id":"@SDMX","title":"SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_DASHBOARD(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@DEMO(1.0)":{"id":"DSD_DASHBOARD@DEMO","name":"Subnational government structure and finance: socio-economic indicators","description":"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>.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@DEMO(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2022,TIME_PERIOD_END=2022","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_DASHBOARD(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@EXPEND(1.0)":{"id":"DSD_DASHBOARD@EXPEND","name":"Subnational government expenditure","description":"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>.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@EXPEND(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,SECTOR","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2022,TIME_PERIOD_END=2022","type":"DEFAULT"},{"id":"@SDMX","title":"SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_DASHBOARD(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@EXPEND_ECON(1.0)":{"id":"DSD_DASHBOARD@EXPEND_ECON","name":"Subnational government expenditure by economic classification","description":"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>.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@EXPEND_ECON(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,SECTOR","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"UNIT_MEASURE,MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,MEASURE=E111+E112+E113+E116+E12+E14+E13,UNIT_MEASURE=PT_EXP","type":"DEFAULT"},{"id":"@SDMX","title":"SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_DASHBOARD(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@INV(1.0)":{"id":"DSD_DASHBOARD@INV","name":"Subnational government investment","description":"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>.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@INV(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,SECTOR","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,MEASURE=E121","type":"DEFAULT"},{"id":"@SDMX","title":"SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_DASHBOARD(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@REV(1.0)":{"id":"DSD_DASHBOARD@REV","name":"Subnational government revenue","description":"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>.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@REV(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,SECTOR","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2022,TIME_PERIOD_END=2022","type":"DEFAULT"},{"id":"@SDMX","title":"SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_DASHBOARD(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@REVENUE_CAT(1.0)":{"id":"DSD_DASHBOARD@REVENUE_CAT","name":"Subnational government revenue by category","description":"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>.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@REVENUE_CAT(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,SECTOR","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,MEASURE=R11+R12+R13+R14+R16","type":"DEFAULT"},{"id":"@SDMX","title":"SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_DASHBOARD(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@SNG_NBR(1.0)":{"id":"DSD_DASHBOARD@SNG_NBR","name":"Number of subnational governments","description":"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>.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@SNG_NBR(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,SECTOR","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2022,TIME_PERIOD_END=2022","type":"DEFAULT"},{"id":"@SDMX","title":"SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_DASHBOARD(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@SNG_STRUCT(1.0)":{"id":"DSD_DASHBOARD@SNG_STRUCT","name":"Municipal level government by population size","description":"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>.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@SNG_STRUCT(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,SECTOR","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,SIZE_CLASS=S0T1999+S2000T4999+S5000T19999+S_GE20000+_Z","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION,SIZE_CLASS","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure"},{"id":"@SDMX","title":"SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_DASHBOARD(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@TAX_REV(1.0)":{"id":"DSD_DASHBOARD@TAX_REV","name":"Subnational tax revenue","description":"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>.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_DASHBOARD@TAX_REV(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,SECTOR","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2022,TIME_PERIOD_END=2023,MEASURE=R11","type":"DEFAULT"},{"id":"@SDMX","title":"SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_DASHBOARD(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SNGF_AGG@DF_MUNIFI(1.0)":{"id":"DSD_SNGF_AGG@DF_MUNIFI","name":"Aggregated and disaggregated municipal government finance","description":"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>","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SNGF_AGG@DF_MUNIFI(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,SECTOR,UNIT_MEASURE,COFOG","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUS,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,UNIT_MEASURE=XDC,COFOG=_Z","type":"DEFAULT"},{"id":"@SDMX","title":"SECTOR:OECD.CFE.RDG:HCL_SECTOR(1.0).H,COFOG:OECD.CFE.RDG:HCL_COFOG(1.0).H","type":"HIER_CONTEXT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - All countries|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1d74929b-d79e-4000-b448-d554d62737eb"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Austria|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e269b73b-f1b7-4426-b00a-0384ceae1c25"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Chile|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b98af2c7-5e53-4d3a-ad44-82e889f30465"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Colombia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c735a60c-e4c0-4b5c-ab15-a9ba54c73bf6"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Croatia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0866f3e3-f2cd-4a62-bfe0-3ee90fc9ec58"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Czechia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0579c66b-e48e-486c-af36-696660347736"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Denmark|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21ab4270-0436-41f0-8ef0-9fb7e2f6ef08"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Estonia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6a24ba09-b594-49ca-a896-76cae11313d7"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Finland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=27b837b9-44c9-4a84-9759-b22fb7bd45d9"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - France|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d1d29859-65e9-4ccb-98b3-eba27a7f4d15"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Hungary|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=275170a8-a37a-4b9c-904a-e232017cca2c"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Iceland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a328f9c6-40b4-4eeb-8c49-1bbfe748a2c0"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Italy|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=34787821-5eb9-46c3-89bf-a4739865f88b"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Korea Republic|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ec6e50e6-7259-4c60-9230-7623c05649b2"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Latvia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9b0e7b26-51e2-491b-ae1c-125a4250999c"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Lithuania|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=423562ae-b7b9-4967-a40b-3b15e3eeb49b"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Malta|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b3f4e49a-17e9-44a5-bcc5-951393768efa"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Mexico|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2f22529f-2942-4579-9054-6f0bd241e2eb"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Netherlands|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c0594706-727e-453c-92e6-cbe51d7ff770"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - New Zealand|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b86339c3-9d87-41fe-92bf-3ba3f6ae7f0e"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Norway|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=abf779ca-e776-4d06-9781-4f61ab8b379f"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Poland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0f6f56fe-32a6-4b9c-a97c-55f79c1b7d3a"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Portugal|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6988403c-29aa-4223-a866-32a2381bb936"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Romania|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ff908b04-1844-4f36-a060-859d91edaec9"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Slovenia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d53b0b0b-c43c-43b7-af43-f81ba22123ca"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Spain|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=348d0431-bc1b-4356-9af2-fb998954ac52"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Sweden|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4cb9f6d3-3366-4a23-9507-48d9cc6c3387"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - Switzerland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=95d1c287-805b-42d5-866f-4079482aa160"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated municipal finance data - United States|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6aa1b32b-88ed-4564-9a10-777492c06daa"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_SNGF_AGG(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SNGF_AGG@DF_REGOFI(1.0)":{"id":"DSD_SNGF_AGG@DF_REGOFI","name":"Aggregated regional government finance","description":"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>","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SNGF_AGG@DF_REGOFI(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,SECTOR,UNIT_MEASURE,COFOG","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUS,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,UNIT_MEASURE=XDC,COFOG=_Z","type":"DEFAULT"},{"id":"@SDMX","title":"SECTOR:OECD.CFE.RDG:HCL_SECTOR(1.0).H,COFOG:OECD.CFE.RDG:HCL_COFOG(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_SNGF_AGG(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SNGF_CSF@DF_SGCF(1.0)":{"id":"DSD_SNGF_CSF@DF_SGCF","name":"Subnational government climate finance","description":"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:\n<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.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SNGF_CSF@DF_SGCF(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TIME_PERIOD,SECTOR","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:PRICE_BASE,BASE_PER,UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"id":"@SDMX","title":"SECTOR:OECD.CFE.RDG:HCL_SECTOR_SNCF(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_SNGF_CSF(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SNGF_DISAGG@DF_REGOFI(1.0)":{"id":"DSD_SNGF_DISAGG@DF_REGOFI","name":"Disaggregated regional government finance","description":"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>","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SNGF_DISAGG@DF_REGOFI(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,SECTOR,UNIT_MEASURE,COFOG","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AT11+AT21+AT12+AT32+AT22+AT33+AT31+AT13+AT34,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,UNIT_MEASURE=XDC,COFOG=_Z","type":"DEFAULT"},{"id":"@SDMX","title":"SECTOR:OECD.CFE.RDG:HCL_SECTOR(1.0).H,COFOG:OECD.CFE.RDG:HCL_COFOG(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_SNGF_DISAGG(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SNG_WOFI@DF_COFOG(1.0)":{"id":"DSD_SNG_WOFI@DF_COFOG","name":"SNG-WOFI: Subnational government functional expenditure (COFOG)","description":"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>.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SNG_WOFI@DF_COFOG(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REG,REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"COFOG,COMBINED_UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"INCOME,FORM","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0,REF_AREA=WXOECD","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"COFOG=GF01+GF02+GF03+GF04+GF05+GF06+GF07+GF08+GF09+GF10,SECTOR=S13M,UNIT_MEASURE=USD_PPP_PS+PT_EXP_SECTOR","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_SNG_WOFI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SNG_WOFI@DF_FINANCE(1.0)":{"id":"DSD_SNG_WOFI@DF_FINANCE","name":"SNG-WOFI: Subnational government expenditure, revenue and debt","description":"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>.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SNG_WOFI@DF_FINANCE(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REG,REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,COMBINED_UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"INCOME,FORM","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0,REF_AREA=WXOECD","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_SNG_WOFI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SNG_WOFI@DF_SNG_STRUCT(1.0)":{"id":"DSD_SNG_WOFI@DF_SNG_STRUCT","name":"SNG-WOFI: Number of subnational governments and municipality size","description":"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>.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SNG_WOFI@DF_SNG_STRUCT(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REG,REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"INCOME,FORM","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0,REF_AREA=WXOECD","type":"NOT_DISPLAYED"},{"title":"COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_SNG_WOFI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SNG_WOFI@DF_SOCIO(1.0)":{"id":"DSD_SNG_WOFI@DF_SOCIO","name":"SNG-WOFI: Basic socio-economic indicators","description":"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>.","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SNG_WOFI@DF_SOCIO(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REG,REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,COMBINED_UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"INCOME,FORM","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0,REF_AREA=WXOECD","type":"NOT_DISPLAYED"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_SNG_WOFI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SUBEMP@DF_SUBEMP(1.0)":{"id":"DSD_SUBEMP@DF_SUBEMP","name":"Aggregated and disaggregated subnational public employment","description":"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>","agencyID":"OECD.CFE.RDG","version":"1.0","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.RDG:DSD_SUBEMP@DF_SUBEMP(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"AGE,OCCUPATION,ATTAINMENT_LEV,CONTRACT,WORK_TIME_ARNGMNT","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,SEX","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA,SECTOR,COFOG","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"CONF_STATUS,OBS_STATUS,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"id":"@SDMX","title":"SECTOR:OECD.CFE.RDG:HCL_SECTOR(1.0).H,WORK_TIME_ARNGMNT:OECD.CFE.RDG:HCL_WORK_TIME_ARNGMNT(1.0).H","type":"HIER_CONTEXT"},{"title":"COMBINED_MEASURE:MEASURE,AGE,OCCUPATION,ATTAINMENT_LEV,CONTRACT,WORK_TIME_ARNGMNT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - All countries|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=32d751be-60dc-477b-9d77-aeb6b9dda1fc"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Australia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d3a560fa-42c3-4e4e-9c76-abd4bb573a13"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Austria|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=77cdf521-361d-4d85-8e81-9d97195d5b39"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Belgium|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6debee1e-fe8d-4a14-8539-47cadd30aede"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Canada|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2565723-4422-4635-b79b-e664693e0a42"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Chile|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6813bf18-9eb5-4ff2-ba6d-45ff06b91424"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Estonia|https:/stats.oecd.org/wbos/fileview2.aspx?IDFile=8820a7ed-83b4-4485-ad95-d3342e29256c"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Finland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ffe08f90-7452-4bc9-8943-d840ee8bf650"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Ireland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed162739-2076-43b0-bf57-7cf803954b57"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Italy|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=484405b1-fef9-4ba0-9daf-7ac514e1d799"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Korea|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=672d33aa-9cd5-4e9e-9d78-d2a22aa0a824"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Latvia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=854966a0-5ad6-49ab-96f8-68cf22f57789"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Malta|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=91841b5a-ab44-444f-a124-8d039fc73d1c"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Mexico|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e51a3fbb-49a7-43b9-9402-0c2ed8cf5f54"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Norway|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=59303ad0-1033-4a34-b13e-8f1565d5feec"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Portgual|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1ce970e2-23cf-4d13-8f42-ebea4925478d"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Spain|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=befb9669-b383-4180-bc8f-d6abb862f3cc"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"Disaggregated subnational public employment data - Sweden|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=7ccd0728-229a-42e1-8527-36a858af87ce"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.RDG:DSD_SUBEMP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.SMEE:DSD_SMEE_FINANCING@DF_SMEE_SCOREBOARD(1.0)":{"id":"DSD_SMEE_FINANCING@DF_SMEE_SCOREBOARD","name":"Financing SMEs and Entrepreneurs: An OECD Scoreboard","description":"<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>\n<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>\n<p><strong>Further information:</strong></p>\n<ul>\n<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>\n<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>\n</ul>","agencyID":"OECD.CFE.SMEE","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.SMEE:DSD_SMEE_FINANCING@DF_SMEE_SCOREBOARD(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COMBINED_MEASURE,COMBINED_UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,UNIT_MEASURE=XDC,MEASURE=LOAN,PRICES=_Z,COUNTRY","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUS","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,TRANSACTION_TYPE,ENTR_SIZE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICES","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.SMEE:DSD_SMEE_FINANCING(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.TOU:DSD_TOURISM_DOM@DF_DOMESTIC(1.0)":{"id":"DSD_TOURISM_DOM@DF_DOMESTIC","name":"Domestic tourism","description":"Domestic tourism comprises the activities of a resident visitor within the country of reference.","agencyID":"OECD.CFE.TOU","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.TOU:DSD_TOURISM_DOM@DF_DOMESTIC(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,VISITOR_TYPE,ACCOMMODATION_TYPE,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"title":"OBS_STATUS,OBS_STATUS2","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"OBS_STATUS=A,OBS_STATUS2=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUS,SOURCE=TDS","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,VISITOR_TYPE,ACCOMMODATION_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.TOU:DSD_TOURISM_DOM(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.TOU:DSD_TOURISM_ENT_EMP@DF_ENT_EMP(1.0)":{"id":"DSD_TOURISM_ENT_EMP@DF_ENT_EMP","name":"Enterprises and employment in tourism","description":"Data on enterprises and employment in tourism industry.","agencyID":"OECD.CFE.TOU","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.TOU:DSD_TOURISM_ENT_EMP@DF_ENT_EMP(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"ACTIVITY","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA,MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW_SECTION"},{"title":"OBS_STATUS,OBS_STATUS2","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"OBS_STATUS=A,OBS_STATUS2=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUS","type":"DEFAULT"},{"id":"@SDMX","title":"ACTIVITY:OECD.CFE.TOU:HCL_ACTIVITY(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.TOU:DSD_TOURISM_ENT_EMP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.TOU:DSD_TOURISM_EXP@DF_EXPENDITURE(1.0)":{"id":"DSD_TOURISM_EXP@DF_EXPENDITURE","name":"Internal tourism consumption","description":"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.","agencyID":"OECD.CFE.TOU","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.TOU:DSD_TOURISM_EXP@DF_EXPENDITURE(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"PRODUCT","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,MEASURE","type":"LAYOUT_COLUMN"},{"title":"OBS_STATUS,OBS_STATUS2","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"OBS_STATUS=A,OBS_STATUS2=A,","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUS","type":"DEFAULT"},{"title":"CURRENCY,UNIT_MULT","type":"UNIT_MEASURE_CONCEPTS"},{"id":"@SDMX","title":"PRODUCT:OECD.CFE.TOU:HCL_PRODUCT(1.0).H","type":"HIER_CONTEXT"},{"title":"COMBINED_UNIT_MEASURE:CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.TOU:DSD_TOURISM_EXP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.TOU:DSD_TOURISM_INTER@DF_INBOUND(1.0)":{"id":"DSD_TOURISM_INTER@DF_INBOUND","name":"Inbound tourism","description":"Inbound tourism comprises the activities of a non-resident visitor within the country of reference.","agencyID":"OECD.CFE.TOU","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.TOU:DSD_TOURISM_INTER@DF_INBOUND(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,VISITOR_TYPE,ACCOMMODATION_TYPE,COUNTERPART_AREA,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"title":"OBS_STATUS,OBS_STATUS2","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"OBS_STATUS=A,OBS_STATUS2=A,COUNTERPART_AREA=W,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUS,SOURCE=TDS","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,VISITOR_TYPE,ACCOMMODATION_TYPE,COUNTERPART_AREA;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.TOU:DSD_TOURSIM_INTER(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.TOU:DSD_TOURISM_INTER@DF_OUTBOUND(1.0)":{"id":"DSD_TOURISM_INTER@DF_OUTBOUND","name":"Outbound tourism","description":"Outbound tourism comprises the activities of residents of a given country travelling to and staying in places outside their country of residence.","agencyID":"OECD.CFE.TOU","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.TOU:DSD_TOURISM_INTER@DF_OUTBOUND(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,VISITOR_TYPE,COUNTERPART_AREA,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"OBS_STATUS,OBS_STATUS2","type":"LAYOUT_FLAG"},{"title":"METHODOLOGY","type":"LAYOUT_NOTE"},{"id":"@SDMX","title":"OBS_STATUS=A,OBS_STATUS2=A,COUNTERPART_AREA=W,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUS","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,VISITOR_TYPE,COUNTERPART_AREA;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.TOU:DSD_TOURSIM_INTER(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.TOU:DSD_TOURISM_KEY@DF_KEY_IND_PC(1.0)":{"id":"DSD_TOURISM_KEY@DF_KEY_IND_PC","name":"Key tourism economic indicators","description":"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.\nPut 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.","agencyID":"OECD.CFE.TOU","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.TOU:DSD_TOURISM_KEY@DF_KEY_IND_PC(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"title":"OBS_STATUS,OBS_STATUS2","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"OBS_STATUS=A,OBS_STATUS2=A,UNIT_MULT=0","type":"NOT_DISPLAYED"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.TOU:DSD_TOURISM_KEY(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.TOU:DSD_TOURISM_RECEIPTS@DF_RECEIPTS(1.0)":{"id":"DSD_TOURISM_RECEIPTS@DF_RECEIPTS","name":"Receipts and expenditure","description":"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>","agencyID":"OECD.CFE.TOU","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CFE.TOU:DSD_TOURISM_RECEIPTS@DF_RECEIPTS(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"SERVICE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"title":"OBS_STATUS,OBS_STATUS2","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"OBS_STATUS=A,OBS_STATUS2=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUS,UNIT_MEASURE=XDC","type":"DEFAULT"},{"title":"UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"UNIT_MEASURE_CONCEPTS"},{"id":"@SDMX","title":"SERVICE:OECD.CFE.TOU:HCL_SERVICE(1.0).H","type":"HIER_CONTEXT"},{"title":"COMBINED_UNIT_MEASURE:CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CFE.TOU:DSD_TOURISM_RECEIPTS(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TAV:DSD_QDD_ITTI@DF_QDD_ITTI(1.0)":{"id":"DSD_QDD_ITTI@DF_QDD_ITTI","name":"Inventory of Tax Technology Initiatives","description":"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> \nIts 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> \nThe 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>\nThe 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> \n<br> \n<b><i>Reference area:</b></i> Jurisdiction;  <b><i>Measure:</b></i> Data points","agencyID":"OECD.CTP.TAV","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TAV:DSD_QDD_ITTI@DF_QDD_ITTI(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA=AUS+AUT","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TAV:DSD_QDD_ITTI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_CBCR@DF_CBCRI(1.0)":{"id":"DSD_CBCR@DF_CBCRI","name":"Country-by-country reporting (CbCR) - Aggregate totals by jurisdiction - Corporate tax statistics","description":"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.","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_CBCR@DF_CBCRI(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"PROFIT_GROUPING,COUNTERPART_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA,TIME_PERIOD","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"FREQ=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1,DECIMALS=0,PROFIT_GROUPING=_T,REF_AREA=AUS","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_CBCR(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_CBCR@DF_CBCRII(1.0)":{"id":"DSD_CBCR@DF_CBCRII","name":"Country-by-country reporting (CbCR) - Interquartile mean values by jurisdiction - Corporate tax statistics","description":"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.","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_CBCR@DF_CBCRII(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"PROFIT_GROUPING,COUNTERPART_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA,TIME_PERIOD","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"FREQ=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1,DECIMALS=0,PROFIT_GROUPING=_T,REF_AREA=AUS","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_CBCR(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_CBCR@DF_CBCRIII(1.0)":{"id":"DSD_CBCR@DF_CBCRIII","name":"Country-by-country reporting (CbCR) - Aggregate totals by the effective tax rate of the MNE group and by tax jurisdiction  - Corporate tax statistics","description":"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.","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_CBCR@DF_CBCRIII(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"EFFECTIVE_TAX_RATE,COUNTERPART_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA,TIME_PERIOD","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"FREQ=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1,DECIMALS=0,REF_AREA=AUS","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_CBCR(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_CBCR@DF_CBCRIV(1.0)":{"id":"DSD_CBCR@DF_CBCRIV","name":"Country-by-country reporting (CbCR) - Aggregate totals by the effective tax rate of the MNE sub-group and by tax jurisdiction - Corporate tax statistics","description":"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.","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_CBCR@DF_CBCRIV(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"EFFECTIVE_TAX_RATE,COUNTERPART_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA,TIME_PERIOD","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"FREQ=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1,DECIMALS=0,COUNTERPART_AREA=W","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_CBCR(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_CBCR@DF_CBCRV(1.0)":{"id":"DSD_CBCR@DF_CBCRV","name":"Country-by-country reporting (CbCR) - Distribution points of MNE group size - Corporate tax statistics","description":"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.","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_CBCR@DF_CBCRV(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA,TIME_PERIOD","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"FREQ=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1,DECIMALS=0","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_CBCR(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_ECR@DF_CPS(1.0)":{"id":"DSD_ECR@DF_CPS","name":"Carbon pricing score","description":"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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_ECR@DF_CPS(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"PRICE_LEVEL","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"SECTOR","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,STATISTICAL_OPERATION","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"EMISSIONS_SOURCE=FFUEL,TIME_PERIOD_START=2021,PRICE_BASE=Q,MEASURE=CPS,PRICE_LEVEL=BEN_EUR_60","type":"DEFAULT"},{"title":"UNIT_MEASURE","type":"UNIT_MEASURE_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_ECR(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_ECR@DF_SEP(1.0)":{"id":"DSD_ECR@DF_SEP","name":"Shares of CO2 emissions from energy priced","description":"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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_ECR@DF_SEP(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"PRICE_LEVEL","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,PRICE_BASE,BASE_PER,STATISTICAL_OPERATION","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"EMISSIONS_SOURCE=FFUEL,TIME_PERIOD_START=2021,MEASURE=SEP,SECTOR=ENE","type":"DEFAULT"},{"title":"UNIT_MEASURE","type":"UNIT_MEASURE_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_ECR(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_ETR@DF_ETR_BASELINE(1.1)":{"id":"DSD_ETR@DF_ETR_BASELINE","name":"Effective tax rates - Corporate tax statistics","description":"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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_ETR@DF_ETR_BASELINE(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,MEASURE","type":"LAYOUT_COLUMN"},{"title":"V2/structure/dataflow/OECD.CTP.TPS/DSD_ETR@DF_ETR_XBRD,DSD_ETR@DF_ETR_IBRD/latest","type":"RELATED_DATA"},{"id":"@SDMX","title":"ETR_TAX_BASIS,REGIME,FREQ","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"ETR_SCENARIO=FIXED,ETR_TAX_TYPE=COMPOSITE,MEASURE=EATR+EMTR,LASTNPERIODS=5","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"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"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_ETR(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_ETR@DF_ETR_IBRD(1.1)":{"id":"DSD_ETR@DF_ETR_IBRD","name":"Effective tax rates for income based tax incentives - Corporate tax statistics","description":"<p>This table reports synthetic tax policy indicators that capture the effect of expenditure-based R&D tax incentives on firms’ investment costs:</p>\n<p><ul><li>The EATR for R&D measures the impact of taxation on R&D investments that earn an economic profit.</li>\n<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>\n<p>Further methodological information is available in the explanatory annex.</p>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_ETR@DF_ETR_IBRD(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,REGIME","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"title":"V2/structure/dataflow/OECD.CTP.TPS/DSD_ETR@DF_ETR_BASELINE,DSD_ETR@DF_ETR_XBRD/latest","type":"RELATED_DATA"},{"id":"@SDMX","title":"ETR_TAX_BASIS,ETR_SCENARIO,FREQ","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"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"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_ETR(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_ETR@DF_ETR_XBRD(1.1)":{"id":"DSD_ETR@DF_ETR_XBRD","name":"Effective tax rates for expenditure based tax incentives - Corporate tax statistics","description":"<p>This table reports synthetic tax policy indicators that capture the effect of expenditure-based R&D tax incentives on firms’ investment costs:</p>\n<p><ul><li>The EATR for R&D measures the impact of taxation on R&D investments that earn an economic profit.</li>\n<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>\n<p>Further methodological information is available in the explanatory annex.</p>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":false,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_ETR@DF_ETR_XBRD(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"title":"V2/structure/dataflow/,/DSD_RDTAX@DF_RDTAX,DSD_RDTAX@DF_RDSUB,DSD_ETR@DF_ETR_BASELINE,DSD_ETR@DF_ETR_IBRD/latest","type":"RELATED_DATA"},{"id":"@SDMX","title":"ETR_TAX_BASIS,ETR_SCENARIO,REGIME,FREQ","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"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"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_ETR(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_NECR@DF_NECRS(1.0)":{"id":"DSD_NECR@DF_NECRS","name":"Net effective carbon rates","description":"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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_NECR@DF_NECRS(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"SECTOR","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,PRICE_LEVEL,CURRENCY,FREQ,DECIMALS","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"EMISSIONS_SOURCE=_T,TIME_PERIOD_START=2021,LASTNPERIODS=1,STATISTICAL_OPERATION=MEANW,PRICE_BASE=Q,MEASURE=FUETAX+CARBTAX+MPERPRI+ECRATE+SUBSID+NETECR,SECTOR=_T","type":"DEFAULT"},{"title":"UNIT_MEASURE,PRICE_BASE,BASE_PER","type":"UNIT_MEASURE_CONCEPTS"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_NECR(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_NECR@DF_NECRSHARES(1.0)":{"id":"DSD_NECR@DF_NECRSHARES","name":"Shares of emissions priced","description":"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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_NECR@DF_NECRSHARES(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"SECTOR","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,PRICE_BASE,BASE_PER","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"UNIT_MEASURE","type":"UNIT_MEASURE_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_NECR(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_NECR@DF_NECRSREVFOR(1.0)":{"id":"DSD_NECR@DF_NECRSREVFOR","name":"Revenue forgone and net effective carbon rates","description":"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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_NECR@DF_NECRSREVFOR(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"STATISTICAL_OPERATION,PRICE_BASE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,PRICE_BASE=_Z,BASE_PER=_Z","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"EMISSIONS_SOURCE=_T,TIME_PERIOD_START=2021,LASTNPERIODS=1,SECTOR=ENE,PRICE_LEVEL=BEN_EUR_0","type":"DEFAULT"},{"title":"UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER","type":"UNIT_MEASURE_CONCEPTS"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_NECR(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_NEER@DF_NEERS(1.0)":{"id":"DSD_NEER@DF_NEERS","name":"Net effective energy rates","description":"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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_NEER@DF_NEERS(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"SECTOR","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,PRICE_LEVEL,CURRENCY,FREQ,DECIMALS","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"UNIT_MEASURE,PRICE_BASE,BASE_PER","type":"UNIT_MEASURE_CONCEPTS"},{"id":"@SDMX","title":"ENERGY_SOURCE:OECD.CTP.TPS:HCL_ENERGY_SOURCE_TAXENV(1.0).H","type":"HIER_CONTEXT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_NEER(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_NEER@DF_REVPOT(1.0)":{"id":"DSD_NEER@DF_REVPOT","name":"Net energy tax revenues and reform potential","description":"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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_NEER@DF_REVPOT(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,PRICE_BASE,BASE_PER,PRICE_LEVEL,ENERGY_SOURCE,SECTOR","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"UNIT_MEASURE","type":"UNIT_MEASURE_CONCEPTS"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_NEER(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_QDD_CBCREQ@DF_QDD_CBCREQ(1.0)":{"id":"DSD_QDD_CBCREQ@DF_QDD_CBCREQ","name":"Country-by-country reporting (CbCR) requirements - Corporate tax statistics","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_QDD_CBCREQ@DF_QDD_CBCREQ(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TIME_PERIOD","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_COLUMN"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_QDD_CBCREQ(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_QDD_CFC@DF_QDD_CFC(1.0)":{"id":"DSD_QDD_CFC@DF_QDD_CFC","name":"Controlled foreign company rules - Corporate tax statistics","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_QDD_CFC@DF_QDD_CFC(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"REGIME,FREQ","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_QDD_CFC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_QDD_ILR@DF_QDD_ILR(1.0)":{"id":"DSD_QDD_ILR@DF_QDD_ILR","name":"Interest limitation rules - Corporate tax statistics","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_QDD_ILR@DF_QDD_ILR(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,REGIME","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"REGIME","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_QDD_ILR(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_QDD_IPR@DF_QDD_IPR(1.0)":{"id":"DSD_QDD_IPR@DF_QDD_IPR","name":"Intellectual properties regimes - Corporate tax statistics","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_QDD_IPR@DF_QDD_IPR(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,REGIME","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"REGIME","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_QDD_IPR(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REF_AFRICA@DF_REFSERIES_AFRICA(1.1)":{"id":"DSD_REF_AFRICA@DF_REFSERIES_AFRICA","name":"Reference series of African countries","description":"<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>\nThe 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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REF_AFRICA@DF_REFSERIES_AFRICA(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"title":"CURRENCY","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,FREQ=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REF_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REF_ASAP@DF_REFSERIES_ASAP(1.0)":{"id":"DSD_REF_ASAP@DF_REFSERIES_ASAP","name":"Reference series of Asia and the Pacific economies","description":"<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>\n\nThe 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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REF_ASAP@DF_REFSERIES_ASAP(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"title":"CURRENCY","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,FREQ=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REF_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REF_GLOBAL@DF_REFSERIES_GLOBAL(1.1)":{"id":"DSD_REF_GLOBAL@DF_REFSERIES_GLOBAL","name":"Reference series of countries in the global database","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REF_GLOBAL@DF_REFSERIES_GLOBAL(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"title":"CURRENCY","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,FREQ=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REF_GLOBAL(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REF_LAC@DF_REFSERIES_LAC(1.0)":{"id":"DSD_REF_LAC@DF_REFSERIES_LAC","name":"Reference series of Latin American and Caribbean countries","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REF_LAC@DF_REFSERIES_LAC(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"title":"CURRENCY","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,FREQ=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REF_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REF_OECD@DF_REFSERIES_OECD(1.1)":{"id":"DSD_REF_OECD@DF_REFSERIES_OECD","name":"Reference series of OECD member countries","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REF_OECD@DF_REFSERIES_OECD(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"title":"CURRENCY","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,FREQ=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REF_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVBFA(1.1)":{"id":"DSD_REV_AFRICA@DF_REVBFA","name":"Details of tax and non-tax revenue of Burkina Faso","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVBFA(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVBWA(1.1)":{"id":"DSD_REV_AFRICA@DF_REVBWA","name":"Details of tax and non-tax revenue of Botswana","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVBWA(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVCIV(1.1)":{"id":"DSD_REV_AFRICA@DF_REVCIV","name":"Details of tax and non-tax revenue of Côte d'Ivoire","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVCIV(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVCMR(1.1)":{"id":"DSD_REV_AFRICA@DF_REVCMR","name":"Details of tax and non-tax revenue of Cameroon","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVCMR(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVCOD(1.1)":{"id":"DSD_REV_AFRICA@DF_REVCOD","name":"Details of tax and non-tax revenue of the Democratic Republic of the Congo","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVCOD(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVCOG(1.1)":{"id":"DSD_REV_AFRICA@DF_REVCOG","name":"Details of tax and non-tax revenue of the Republic of the Congo","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVCOG(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVCPV(1.1)":{"id":"DSD_REV_AFRICA@DF_REVCPV","name":"Details of tax and non-tax revenue of Cabo Verde","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVCPV(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVEGY(1.1)":{"id":"DSD_REV_AFRICA@DF_REVEGY","name":"Details of tax and non-tax revenue of Egypt","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVEGY(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVGAB(1.1)":{"id":"DSD_REV_AFRICA@DF_REVGAB","name":"Details of tax and non-tax revenue of Gabon","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVGAB(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVGHA(1.1)":{"id":"DSD_REV_AFRICA@DF_REVGHA","name":"Details of tax and non-tax revenue of Ghana","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVGHA(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVGIN(1.1)":{"id":"DSD_REV_AFRICA@DF_REVGIN","name":"Details of tax and non-tax revenue of Guinea","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVGIN(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVGNQ(1.1)":{"id":"DSD_REV_AFRICA@DF_REVGNQ","name":"Details of tax and non-tax revenue of Equatorial Guinea","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVGNQ(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVKEN(1.1)":{"id":"DSD_REV_AFRICA@DF_REVKEN","name":"Details of tax and non-tax revenue of Kenya","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVKEN(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVLSO(1.1)":{"id":"DSD_REV_AFRICA@DF_REVLSO","name":"Details of tax and non-tax revenue of Lesotho","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVLSO(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVMAR(1.1)":{"id":"DSD_REV_AFRICA@DF_REVMAR","name":"Details of tax and non-tax revenue of Morocco","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVMAR(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVMDG(1.1)":{"id":"DSD_REV_AFRICA@DF_REVMDG","name":"Details of tax and non-tax revenue of Madagascar","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVMDG(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVMLI(1.1)":{"id":"DSD_REV_AFRICA@DF_REVMLI","name":"Details of tax and non-tax revenue of Mali","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVMLI(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVMOZ(1.1)":{"id":"DSD_REV_AFRICA@DF_REVMOZ","name":"Details of tax and non-tax revenue of Mozambique","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVMOZ(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=11","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVMRT(1.1)":{"id":"DSD_REV_AFRICA@DF_REVMRT","name":"Details of tax and non-tax revenue of Mauritania","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVMRT(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVMUS(1.1)":{"id":"DSD_REV_AFRICA@DF_REVMUS","name":"Details of tax and non-tax revenue of Mauritius","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVMUS(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVMWI(1.1)":{"id":"DSD_REV_AFRICA@DF_REVMWI","name":"Details of tax and non-tax revenue of Malawi","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVMWI(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVNAM(1.1)":{"id":"DSD_REV_AFRICA@DF_REVNAM","name":"Details of tax and non-tax revenue of Namibia","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVNAM(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVNER(1.1)":{"id":"DSD_REV_AFRICA@DF_REVNER","name":"Details of tax and non-tax revenue of Niger","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVNER(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVNGA(1.1)":{"id":"DSD_REV_AFRICA@DF_REVNGA","name":"Details of tax and non-tax revenue of Nigeria","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVNGA(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVRWA(1.1)":{"id":"DSD_REV_AFRICA@DF_REVRWA","name":"Details of tax and non-tax revenue of Rwanda","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVRWA(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVSEN(1.1)":{"id":"DSD_REV_AFRICA@DF_REVSEN","name":"Details of tax and non-tax revenue of Senegal","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVSEN(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVSLE(1.1)":{"id":"DSD_REV_AFRICA@DF_REVSLE","name":"Details of tax and non-tax revenue of Sierra Leone","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVSLE(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVSOM(1.1)":{"id":"DSD_REV_AFRICA@DF_REVSOM","name":"Details of tax and non-tax revenue of Somalia","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVSOM(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=11","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVSWZ(1.1)":{"id":"DSD_REV_AFRICA@DF_REVSWZ","name":"Details of tax and non-tax revenue of Eswatini","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVSWZ(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVSYC(1.1)":{"id":"DSD_REV_AFRICA@DF_REVSYC","name":"Details of tax and non-tax revenue of the Seychelles","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVSYC(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVTCD(1.1)":{"id":"DSD_REV_AFRICA@DF_REVTCD","name":"Details of tax and non-tax revenue of Chad","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVTCD(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVTGO(1.1)":{"id":"DSD_REV_AFRICA@DF_REVTGO","name":"Details of tax and non-tax revenue of Togo","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVTGO(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVTUN(1.1)":{"id":"DSD_REV_AFRICA@DF_REVTUN","name":"Details of tax and non-tax revenue of Tunisia","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVTUN(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVUGA(1.1)":{"id":"DSD_REV_AFRICA@DF_REVUGA","name":"Details of tax and non-tax revenue of Uganda","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVUGA(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVZAF(1.1)":{"id":"DSD_REV_AFRICA@DF_REVZAF","name":"Details of tax and non-tax revenue of South Africa","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVZAF(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVZMB(1.1)":{"id":"DSD_REV_AFRICA@DF_REVZMB","name":"Details of tax and non-tax revenue of Zambia","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REVZMB(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=11","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REV_ALL(1.1)":{"id":"DSD_REV_AFRICA@DF_REV_ALL","name":"Details of tax revenue, all AFRICA countries","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_AFRICA@DF_REV_ALL(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVARM(1.0)":{"id":"DSD_REV_ASAP@DF_REVARM","name":"Details of tax revenue of Armenia","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVARM(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVAUS(1.0)":{"id":"DSD_REV_ASAP@DF_REVAUS","name":"Details of tax revenue of Australia in Revenue Statistics of Asia and the Pacific","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVAUS(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVAZE(1.0)":{"id":"DSD_REV_ASAP@DF_REVAZE","name":"Details of tax revenue of Azerbaijan","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVAZE(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVBGD(1.0)":{"id":"DSD_REV_ASAP@DF_REVBGD","name":"Details of tax revenue of Bangladesh","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVBGD(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVBTN(1.0)":{"id":"DSD_REV_ASAP@DF_REVBTN","name":"Details of tax and non-tax revenue of Bhutan","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVBTN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVCHN(1.0)":{"id":"DSD_REV_ASAP@DF_REVCHN","name":"Details of tax revenue of China","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVCHN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVCOK(1.0)":{"id":"DSD_REV_ASAP@DF_REVCOK","name":"Details of tax and non-tax revenue of Cook Islands","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVCOK(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVFJI(1.0)":{"id":"DSD_REV_ASAP@DF_REVFJI","name":"Details of tax and non-tax revenue of Fiji","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVFJI(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVGEO(1.0)":{"id":"DSD_REV_ASAP@DF_REVGEO","name":"Details of tax revenue of Georgia","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVGEO(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVHKG(1.0)":{"id":"DSD_REV_ASAP@DF_REVHKG","name":"Details of tax and non-tax revenue of Hong Kong, China","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVHKG(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVIDN(1.0)":{"id":"DSD_REV_ASAP@DF_REVIDN","name":"Details of tax revenue of Indonesia","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVIDN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVJPN(1.0)":{"id":"DSD_REV_ASAP@DF_REVJPN","name":"Details of tax revenue of Japan  in Revenue Statistics of Asia and the Pacific","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVJPN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVKAZ(1.0)":{"id":"DSD_REV_ASAP@DF_REVKAZ","name":"Details of tax and non-tax revenue of Kazakhstan","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVKAZ(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVKGZ(1.0)":{"id":"DSD_REV_ASAP@DF_REVKGZ","name":"Details of tax and non-tax revenue of Kyrgyzstan","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVKGZ(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVKHM(1.0)":{"id":"DSD_REV_ASAP@DF_REVKHM","name":"Details of tax and non-tax revenue of Cambodia","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVKHM(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVKIR(1.0)":{"id":"DSD_REV_ASAP@DF_REVKIR","name":"Details of tax revenue of Kiribati","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVKIR(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVKOR(1.0)":{"id":"DSD_REV_ASAP@DF_REVKOR","name":"Details of tax revenue of Korea  in Revenue Statistics of Asia and the Pacific","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVKOR(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVLAO(1.0)":{"id":"DSD_REV_ASAP@DF_REVLAO","name":"Details of tax and non-tax revenue of Lao PDR","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVLAO(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVLKA(1.0)":{"id":"DSD_REV_ASAP@DF_REVLKA","name":"Details of tax and non-tax revenue of Sri Lanka","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVLKA(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVMDV(1.0)":{"id":"DSD_REV_ASAP@DF_REVMDV","name":"Details of tax and non-tax revenue of Maldives","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVMDV(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVMHL(1.0)":{"id":"DSD_REV_ASAP@DF_REVMHL","name":"Details of tax and non-tax revenue of Marshall Islands","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVMHL(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVMNG(1.0)":{"id":"DSD_REV_ASAP@DF_REVMNG","name":"Details of tax and non-tax revenue of Mongolia","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVMNG(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVMYS(1.0)":{"id":"DSD_REV_ASAP@DF_REVMYS","name":"Details of tax revenue of Malaysia","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVMYS(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVNRU(1.0)":{"id":"DSD_REV_ASAP@DF_REVNRU","name":"Details of tax and non-tax revenue of Nauru","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVNRU(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVNZL(1.0)":{"id":"DSD_REV_ASAP@DF_REVNZL","name":"Details of tax revenue of New Zealand in Revenue Statistics of Asia and the Pacific","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVNZL(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVPAK(1.0)":{"id":"DSD_REV_ASAP@DF_REVPAK","name":"Details of tax and non-tax revenue of Pakistan","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVPAK(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVPHL(1.0)":{"id":"DSD_REV_ASAP@DF_REVPHL","name":"Details of tax and non-tax revenue of Philippines","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVPHL(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVPNG(1.0)":{"id":"DSD_REV_ASAP@DF_REVPNG","name":"Details of tax and non-tax revenue of Papua New Guinea","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVPNG(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVSGP(1.0)":{"id":"DSD_REV_ASAP@DF_REVSGP","name":"Details of tax and non-tax revenue of Singapore","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVSGP(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVSLB(1.0)":{"id":"DSD_REV_ASAP@DF_REVSLB","name":"Details of tax and non-tax revenue of Solomon Islands","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVSLB(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVTHA(1.0)":{"id":"DSD_REV_ASAP@DF_REVTHA","name":"Details of tax and non-tax revenue of Thailand","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVTHA(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVTKL(1.0)":{"id":"DSD_REV_ASAP@DF_REVTKL","name":"Details of tax and non-tax revenue of Tokelau","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVTKL(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVTLS(1.0)":{"id":"DSD_REV_ASAP@DF_REVTLS","name":"Details of tax revenue of Timor-Leste","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVTLS(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVVNM(1.0)":{"id":"DSD_REV_ASAP@DF_REVVNM","name":"Details of tax and non-tax revenue of Viet Nam","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVVNM(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVVUT(1.0)":{"id":"DSD_REV_ASAP@DF_REVVUT","name":"Details of tax and non-tax revenue of Vanuatu","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVVUT(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVWSM(1.0)":{"id":"DSD_REV_ASAP@DF_REVWSM","name":"Details of tax and non-tax revenue of Samoa","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_ASAP@DF_REVWSM(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_COMP_AFRICA@DF_RSAFRICA(1.1)":{"id":"DSD_REV_COMP_AFRICA@DF_RSAFRICA","name":"Comparative tables of Revenue Statistics in African countries","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_COMP_AFRICA@DF_RSAFRICA(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_COMP_AFRICA(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_COMP_ASAP@DF_RSASAP(1.0)":{"id":"DSD_REV_COMP_ASAP@DF_RSASAP","name":"Comparative tables of Revenue Statistics in Asia and the Pacific","description":"<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>\nThe 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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_COMP_ASAP@DF_RSASAP(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_COMP_ASAP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_COMP_GLOBAL@DF_RSGLOBAL(1.1)":{"id":"DSD_REV_COMP_GLOBAL@DF_RSGLOBAL","name":"Comparative tables of countries in the global database","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_COMP_GLOBAL@DF_RSGLOBAL(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_COMP_GLOBAL(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_COMP_LAC@DF_RSLAC(1.1)":{"id":"DSD_REV_COMP_LAC@DF_RSLAC","name":"Comparative tables of Revenue Statistics in Latin America and the Caribbean","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_COMP_LAC@DF_RSLAC(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_COMP_LAC(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_COMP_OECD@DF_FSSBOECD(1.1)":{"id":"DSD_REV_COMP_OECD@DF_FSSBOECD","name":"Financing of social security benefits in OECD member countries","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_COMP_OECD@DF_FSSBOECD(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_COMP_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_COMP_OECD@DF_RSOECD(1.1)":{"id":"DSD_REV_COMP_OECD@DF_RSOECD","name":"Comparative tables of Revenue Statistics in OECD member countries","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_COMP_OECD@DF_RSOECD(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_COMP_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_COMP_OECD@DF_SSCPTOECD(1.1)":{"id":"DSD_REV_COMP_OECD@DF_SSCPTOECD","name":"Social security contributions and payroll taxes paid by government in OECD member countries","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_COMP_OECD@DF_SSCPTOECD(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_COMP_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_GLOBAL@DF_REVBGR(1.1)":{"id":"DSD_REV_GLOBAL@DF_REVBGR","name":"Details of tax revenue of Bulgaria","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_GLOBAL@DF_REVBGR(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_GLOBAL(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_GLOBAL@DF_REVHRV(1.1)":{"id":"DSD_REV_GLOBAL@DF_REVHRV","name":"Details of tax revenue of Croatia","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_GLOBAL@DF_REVHRV(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_GLOBAL(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_GLOBAL@DF_REVLIE(1.1)":{"id":"DSD_REV_GLOBAL@DF_REVLIE","name":"Details of tax revenue of Liechtenstein","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_GLOBAL@DF_REVLIE(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_GLOBAL(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_GLOBAL@DF_REVMLT(1.1)":{"id":"DSD_REV_GLOBAL@DF_REVMLT","name":"Details of tax revenue of Malta","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_GLOBAL@DF_REVMLT(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_GLOBAL(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_GLOBAL@DF_REVROU(1.1)":{"id":"DSD_REV_GLOBAL@DF_REVROU","name":"Details of tax revenue of Romania","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_GLOBAL@DF_REVROU(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_GLOBAL(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_GLOBAL@DF_REVUKR(1.1)":{"id":"DSD_REV_GLOBAL@DF_REVUKR","name":"Details of tax and non-tax revenue of Ukraine","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_GLOBAL@DF_REVUKR(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_GLOBAL(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_GLOBAL@DF_REV_ALL(1.1)":{"id":"DSD_REV_GLOBAL@DF_REV_ALL","name":"Details of tax revenue, all GLOBAL countries","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_GLOBAL@DF_REV_ALL(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_GLOBAL(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVARG(1.0)":{"id":"DSD_REV_LAC@DF_REVARG","name":"Details of tax revenue of Argentina","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVARG(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVATG(1.0)":{"id":"DSD_REV_LAC@DF_REVATG","name":"Details of tax revenue of Antigua and Barbuda","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVATG(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVBHS(1.0)":{"id":"DSD_REV_LAC@DF_REVBHS","name":"Details of tax revenue of Bahamas","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVBHS(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVBLZ(1.0)":{"id":"DSD_REV_LAC@DF_REVBLZ","name":"Details of tax revenue of Belize","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVBLZ(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVBOL(1.0)":{"id":"DSD_REV_LAC@DF_REVBOL","name":"Details of tax revenue of Bolivia","description":"These tables present detailed, internationally comparable data on tax revenues for 27 Latin American and Caribbean (LAC) economies, four of which are OECD members. 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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. \n\n<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>\n\n<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. 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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. \n\n<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>\n\n<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. 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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. \n\n<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>\n\n<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. 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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. \n\n<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>\n\n<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. 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Detailed country tables show information in national currency values. </p>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVCOL(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVCRI(1.0)":{"id":"DSD_REV_LAC@DF_REVCRI","name":"Details of tax revenue of Costa Rica in Revenue Statistics in Latin America and the Caribbean","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVCRI(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVCUB(1.0)":{"id":"DSD_REV_LAC@DF_REVCUB","name":"Details of tax revenue of Cuba","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVCUB(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVDOM(1.0)":{"id":"DSD_REV_LAC@DF_REVDOM","name":"Details of tax revenue of Dominican Republic","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVDOM(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVECU(1.0)":{"id":"DSD_REV_LAC@DF_REVECU","name":"Details of tax revenue of Ecuador","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVECU(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVGTM(1.0)":{"id":"DSD_REV_LAC@DF_REVGTM","name":"Details of tax revenue of Guatemala","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVGTM(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVGUY(1.0)":{"id":"DSD_REV_LAC@DF_REVGUY","name":"Details of tax revenue of Guyana","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVGUY(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVHND(1.0)":{"id":"DSD_REV_LAC@DF_REVHND","name":"Details of tax revenue of Honduras","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVHND(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVJAM(1.0)":{"id":"DSD_REV_LAC@DF_REVJAM","name":"Details of tax revenue of Jamaica","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVJAM(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVLCA(1.0)":{"id":"DSD_REV_LAC@DF_REVLCA","name":"Details of tax revenue of Saint Lucia","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVLCA(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVMEX(1.0)":{"id":"DSD_REV_LAC@DF_REVMEX","name":"Details of tax revenue of Mexico in Revenue Statistics in Latin America and the Caribbean","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVMEX(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVNIC(1.0)":{"id":"DSD_REV_LAC@DF_REVNIC","name":"Details of tax revenue of Nicaragua","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVNIC(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVPAN(1.0)":{"id":"DSD_REV_LAC@DF_REVPAN","name":"Details of tax revenue of Panama","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVPAN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVPER(1.0)":{"id":"DSD_REV_LAC@DF_REVPER","name":"Details of tax revenue of Peru","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVPER(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVPRY(1.0)":{"id":"DSD_REV_LAC@DF_REVPRY","name":"Details of tax revenue of Paraguay","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVPRY(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVSLV(1.0)":{"id":"DSD_REV_LAC@DF_REVSLV","name":"Details of tax revenue of El Salvador","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVSLV(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVTTO(1.0)":{"id":"DSD_REV_LAC@DF_REVTTO","name":"Details of tax revenue of Trinidad and Tobago","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVTTO(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVURY(1.0)":{"id":"DSD_REV_LAC@DF_REVURY","name":"Details of tax revenue of Uruguay","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVURY(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVVEN(1.0)":{"id":"DSD_REV_LAC@DF_REVVEN","name":"Details of tax revenue of Venezuela","description":"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. \n\n<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>\n\n<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_LAC@DF_REVVEN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_LAC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVAUS(1.1)":{"id":"DSD_REV_OECD@DF_REVAUS","name":"Details of tax revenue of Australia","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVAUS(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"},{"id":"@SDMX","title":"CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVAUS(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVAUT(1.1)":{"id":"DSD_REV_OECD@DF_REVAUT","name":"Details of tax revenue of Austria","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVAUT(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVBEL(1.1)":{"id":"DSD_REV_OECD@DF_REVBEL","name":"Details of tax revenue of Belgium","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVBEL(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"},{"id":"@SDMX","title":"CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVBEL(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVCAN(1.1)":{"id":"DSD_REV_OECD@DF_REVCAN","name":"Details of tax revenue of Canada","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVCAN(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"},{"id":"@SDMX","title":"CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVCAN(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVCHE(1.1)":{"id":"DSD_REV_OECD@DF_REVCHE","name":"Details of tax revenue of Switzerland","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVCHE(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVCHL(1.1)":{"id":"DSD_REV_OECD@DF_REVCHL","name":"Details of tax revenue of Chile","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVCHL(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVCOL(1.1)":{"id":"DSD_REV_OECD@DF_REVCOL","name":"Details of tax revenue of Colombia","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVCOL(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVCRI(1.1)":{"id":"DSD_REV_OECD@DF_REVCRI","name":"Details of tax revenue of Costa Rica","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVCRI(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVCZE(1.1)":{"id":"DSD_REV_OECD@DF_REVCZE","name":"Details of tax revenue of Czechia","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVCZE(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"},{"id":"@SDMX","title":"CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVCZE(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVDEU(1.1)":{"id":"DSD_REV_OECD@DF_REVDEU","name":"Details of tax revenue of Germany","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVDEU(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVDNK(1.1)":{"id":"DSD_REV_OECD@DF_REVDNK","name":"Details of tax revenue of Denmark","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVDNK(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVESP(1.1)":{"id":"DSD_REV_OECD@DF_REVESP","name":"Details of tax revenue of Spain","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVESP(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVEST(1.1)":{"id":"DSD_REV_OECD@DF_REVEST","name":"Details of tax revenue of Estonia","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVEST(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVFIN(1.1)":{"id":"DSD_REV_OECD@DF_REVFIN","name":"Details of tax revenue of Finland","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVFIN(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVFRA(1.1)":{"id":"DSD_REV_OECD@DF_REVFRA","name":"Details of tax revenue of France","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVFRA(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVGBR(1.1)":{"id":"DSD_REV_OECD@DF_REVGBR","name":"Details of tax revenue of the United Kingdom","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVGBR(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVGRC(1.1)":{"id":"DSD_REV_OECD@DF_REVGRC","name":"Details of tax revenue of Greece","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVGRC(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"},{"id":"@SDMX","title":"CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVGRC(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVHUN(1.1)":{"id":"DSD_REV_OECD@DF_REVHUN","name":"Details of tax revenue of Hungary","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVHUN(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"},{"id":"@SDMX","title":"CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVHUN(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVIRL(1.1)":{"id":"DSD_REV_OECD@DF_REVIRL","name":"Details of tax revenue of Ireland","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVIRL(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVISL(1.1)":{"id":"DSD_REV_OECD@DF_REVISL","name":"Details of tax revenue of Iceland","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVISL(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVISR(1.1)":{"id":"DSD_REV_OECD@DF_REVISR","name":"Details of tax revenue of Israel","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVISR(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVITA(1.1)":{"id":"DSD_REV_OECD@DF_REVITA","name":"Details of tax revenue of Italy","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVITA(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVJPN(1.1)":{"id":"DSD_REV_OECD@DF_REVJPN","name":"Details of tax revenue of Japan","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVJPN(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVKOR(1.1)":{"id":"DSD_REV_OECD@DF_REVKOR","name":"Details of tax revenue of Korea","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVKOR(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVLTU(1.1)":{"id":"DSD_REV_OECD@DF_REVLTU","name":"Details of tax revenue of Lithuania","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVLTU(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVLUX(1.1)":{"id":"DSD_REV_OECD@DF_REVLUX","name":"Details of tax revenue of Luxembourg","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVLUX(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVLVA(1.1)":{"id":"DSD_REV_OECD@DF_REVLVA","name":"Details of tax revenue of Latvia","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVLVA(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"},{"id":"@SDMX","title":"CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVLVA(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVMEX(1.1)":{"id":"DSD_REV_OECD@DF_REVMEX","name":"Details of tax revenue of Mexico","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVMEX(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVNLD(1.1)":{"id":"DSD_REV_OECD@DF_REVNLD","name":"Details of tax revenue of the Netherlands","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVNLD(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVNOR(1.1)":{"id":"DSD_REV_OECD@DF_REVNOR","name":"Details of tax revenue of Norway","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVNOR(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVNZL(1.1)":{"id":"DSD_REV_OECD@DF_REVNZL","name":"Details of tax revenue of New Zealand","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVNZL(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVPOL(1.1)":{"id":"DSD_REV_OECD@DF_REVPOL","name":"Details of tax revenue of Poland","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVPOL(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"},{"id":"@SDMX","title":"CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVPOL(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVPRT(1.1)":{"id":"DSD_REV_OECD@DF_REVPRT","name":"Details of tax revenue of Portugal","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVPRT(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVSVK(1.1)":{"id":"DSD_REV_OECD@DF_REVSVK","name":"Details of tax revenue of the Slovak Republic","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVSVK(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVSVN(1.1)":{"id":"DSD_REV_OECD@DF_REVSVN","name":"Details of tax revenue of Slovenia","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVSVN(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVSWE(1.1)":{"id":"DSD_REV_OECD@DF_REVSWE","name":"Details of tax revenue of Sweden","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVSWE(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVTUR(1.1)":{"id":"DSD_REV_OECD@DF_REVTUR","name":"Details of tax revenue of Türkiye","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVTUR(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVUSA(1.1)":{"id":"DSD_REV_OECD@DF_REVUSA","name":"Details of tax revenue of the United States","description":"<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.","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REVUSA(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"title":"REVENUE_CODE","type":"LAYOUT_FLAG"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REV_ALL(1.1)":{"id":"DSD_REV_OECD@DF_REV_ALL","name":"Details of tax revenue, all OECD countries","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_REV_OECD@DF_REV_ALL(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,FREQ=A","type":"NOT_DISPLAYED"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_REV_OECD(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_CIT@DF_CIT(1.0)":{"id":"DSD_TAX_CIT@DF_CIT","name":"Corporate income tax statutory and targeted small business rates","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_CIT@DF_CIT(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,SECTOR","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,REF_AREA,TARGETING","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,FREQ=A,DECIMALS","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"SECTOR=S13+S1311+S13M,LASTNPERIODS=1,TARGETING=ST","type":"DEFAULT"},{"title":"COMBINED_MEASURE:MEASURE,SECTOR","type":"COMBINED_CONCEPTS","text":"COMBINED_MEASURE:Combined measure"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_TAX_CIT(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_CIT@DF_CIT_DIVD_INCOME(1.0)":{"id":"DSD_TAX_CIT@DF_CIT_DIVD_INCOME","name":"Combined (corporate and shareholder) statutory tax rates on dividend income","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_CIT@DF_CIT_DIVD_INCOME(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"SECTOR,MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0,FREQ=A,DECIMALS","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_TAX_CIT(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_PIT@DF_PIT_AV(1.0)":{"id":"DSD_TAX_PIT@DF_PIT_AV","name":"Personal income tax and social security contributions - average rates on gross wage earnings for a single person without dependent","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_PIT@DF_PIT_AV(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,SECTOR,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"INCOME_PRINCIPAL","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"TIME_PERIOD,REF_AREA","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,SECTOR=S13+S1311+S13M","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_TAX_PIT(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_PIT@DF_PIT_AV_COMB(1.0)":{"id":"DSD_TAX_PIT@DF_PIT_AV_COMB","name":"Personal income tax and social security contributions - average combined personal income tax and employee social security contribution rates by household type","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_PIT@DF_PIT_AV_COMB(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,CIVIL_STATUS,HOUSEHOLD_TYPE,INCOME_SPOUSE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"TIME_PERIOD,","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A,CIVIL_STATUS","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_TAX_PIT(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_PIT@DF_PIT_CENT(1.0)":{"id":"DSD_TAX_PIT@DF_PIT_CENT","name":"Personal income tax - central government rates and thresholds for a single person at 100% of average wage without dependents","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_PIT@DF_PIT_CENT(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"LEVEL,TRANSACTION,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,MEASURE=PIT,SECTOR=S1311","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_TAX_PIT(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_PIT@DF_PIT_MR(1.0)":{"id":"DSD_TAX_PIT@DF_PIT_MR","name":"Personal income tax and social security contributions - marginal rates on gross wage earnings for a single person without dependents","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_PIT@DF_PIT_MR(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,SECTOR,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"INCOME_PRINCIPAL","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"TIME_PERIOD,REF_AREA","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,SECTOR=S13+S1311+S13M","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_TAX_PIT(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_PIT@DF_PIT_SUB_NON_PROG(1.0)":{"id":"DSD_TAX_PIT@DF_PIT_SUB_NON_PROG","name":"Personal income tax - sub-central rates for a non-progressive system for a single person at 100% of average wage without dependants","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_PIT@DF_PIT_SUB_NON_PROG(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TAX_BASE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TRANSACTION,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"TIME_PERIOD,SECTOR","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,MEASURE=PIT","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_TAX_PIT(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_PIT@DF_PIT_SUB_PROG(1.0)":{"id":"DSD_TAX_PIT@DF_PIT_SUB_PROG","name":"Personal income tax - sub-central rates and thresholds for a progressive system for a single person at 100% of average wage without dependants","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_PIT@DF_PIT_SUB_PROG(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"LEVEL,TRANSACTION,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"TIME_PERIOD,TAX_BASE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,MEASURE=PIT_PROG,SECTOR=S13M","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_TAX_PIT(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_PIT@DF_PIT_TOP_EARN_THRESH(1.0)":{"id":"DSD_TAX_PIT@DF_PIT_TOP_EARN_THRESH","name":"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","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_PIT@DF_PIT_TOP_EARN_THRESH(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"TIME_PERIOD,","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1,SECTOR=S13","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_TAX_PIT(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_SSC@DF_SSC_EMPLOYEE(1.0)":{"id":"DSD_TAX_SSC@DF_SSC_EMPLOYEE","name":"Social security contributions - employee rates","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_SSC@DF_SSC_EMPLOYEE(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,SCHEDULE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"LEVEL,TRANSACTION,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"TIME_PERIOD,TAX_BASE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_TAX_SSC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_SSC@DF_SSC_EMPLOYER(1.0)":{"id":"DSD_TAX_SSC@DF_SSC_EMPLOYER","name":"Social security contributions - employer rates","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_SSC@DF_SSC_EMPLOYER(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,SCHEDULE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"LEVEL,TRANSACTION,UNIT_MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"TIME_PERIOD,TAX_BASE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_TAX_SSC(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_WAGES_COMP@DF_TW_COMP(1.1)":{"id":"DSD_TAX_WAGES_COMP@DF_TW_COMP","name":"Labour taxation – OECD comparative indicators","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_WAGES_COMP@DF_TW_COMP(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MEASURE=AV_TW,HOUSEHOLD_TYPE=S_C0,INCOME_PRINCIPAL=AW100,INCOME_SPOUSE=_Z,LASTNPERIODS=10","type":"DEFAULT"},{"title":"COMBINED_HOUSEHOLD_TYPE:CIVIL_STATUS,HOUSEHOLD_TYPE","type":"COMBINED_CONCEPTS","text":"COMBINED_HOUSEHOLD_TYPE:Household type"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_TAX_WAGES_COMP(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_WAGES_COU@DF_TW_COU(1.1)":{"id":"DSD_TAX_WAGES_COU@DF_TW_COU","name":"Labour taxation – detailed OECD member country tables","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_WAGES_COU@DF_TW_COU(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"CIVIL_STATUS,HOUSEHOLD_TYPE,INCOME_PRINCIPAL","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUS,HOUSEHOLD_TYPE=S_C0+S_C2,INCOME_PRINCIPAL=AW100+AW67+AW167,INCOME_SPOUSE=_Z,LASTNPERIODS=1","type":"DEFAULT"},{"title":"COMBINED_HOUSEHOLD_TYPE:CIVIL_STATUS,HOUSEHOLD_TYPE","type":"COMBINED_CONCEPTS","text":"COMBINED_HOUSEHOLD_TYPE:Household type"},{"id":"@SDMX","title":"MEASURE:OECD.CTP.TPS:HCL_TAX_WAGES(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_TAX_WAGES_COU(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_WAGES_DECOMP@DF_TW_DECOMP(1.1)":{"id":"DSD_TAX_WAGES_DECOMP@DF_TW_DECOMP","name":"Labour taxation – average and marginal tax wedge decompositions","description":"<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>","agencyID":"OECD.CTP.TPS","version":"1.1","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_TAX_WAGES_DECOMP@DF_TW_DECOMP(1.1)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"INCOME_PRINCIPAL","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"UNIT_MEASURE,MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"CIVIL_STATUS,HOUSEHOLD_TYPE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"UNIT_MULT=0,OBS_STATUS=A","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=AUS,HOUSEHOLD_TYPE=S_C0,LASTNPERIODS=1","type":"DEFAULT"},{"title":"COMBINED_HOUSEHOLD_TYPE:CIVIL_STATUS,HOUSEHOLD_TYPE","type":"COMBINED_CONCEPTS","text":"COMBINED_HOUSEHOLD_TYPE:Household type"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_TAX_WAGES_DECOMP(1.1)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_WHT@DF_WHT_STANDARD(1.0)":{"id":"DSD_WHT@DF_WHT_STANDARD","name":"Standard withholding tax rates - Corporate tax statistics","description":"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.","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_WHT@DF_WHT_STANDARD(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"COUNTERPART_AREA,LEGAL_BASIS,TREATY_DATE,FREQ,UNIT_MEASURE","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1,DECIMALS=2,LEGAL_BASIS=STA","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_WHT(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_WHT@DF_WHT_TREATY(1.0)":{"id":"DSD_WHT@DF_WHT_TREATY","name":"Treaty based withholding tax rates - Corporate tax statistics","description":"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.","agencyID":"OECD.CTP.TPS","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.CTP.TPS:DSD_WHT@DF_WHT_TREATY(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTERPART_AREA,TREATY_DATE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"TIME_PERIOD,REF_AREA","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"LEGAL_BASIS,FREQ,UNIT_MEASURE","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"LASTNPERIODS=1,DECIMALS=2,LEGAL_BASIS=TRE,REF_AREA=AUS","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.CTP.TPS:DSD_WHT(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF:DSD_DEBT_TRANS_COLL@DF_MICRO(1.0)":{"id":"DSD_DEBT_TRANS_COLL@DF_MICRO","name":"Debt Transparency Individual Transactions","description":"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.","agencyID":"OECD.DAF","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF:DSD_DEBT_TRANS_COLL@DF_MICRO(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"DD_ID,REF_AREA,RECIPIENT_TYPE,TIME_PERIOD,FIN_TYPE,CURRENCY,INTEREST_RATE,INTEREST_RATE_TYPE,CLAIM_RANK","type":"LAYOUT_ROW"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF:DSD_DEBT_TRANS_COLL(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF:DSD_DEBT_TRANS_DDOWN@DF_DDOWN(1.0)":{"id":"DSD_DEBT_TRANS_DDOWN@DF_DDOWN","name":"Debt Transparency Aggregates","description":"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.","agencyID":"OECD.DAF","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF:DSD_DEBT_TRANS_DDOWN@DF_DDOWN(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"CURRENCY","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,FREQ","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"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","type":"DRILLDOWN_CONCEPTS"},{"id":"@SDMX","title":"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","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"TIME_PERIOD_START=2000,FREQ=M,DD_DIM=_T","type":"DEFAULT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF:DSD_DEBT_TRANS_DDOWN(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_FP@DF_BC(1.0)":{"id":"DSD_FP@DF_BC","name":"Benefit payments and contributions to asset-backed pensions","description":"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. \n\nUsers 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.","agencyID":"OECD.DAF.CM","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_FP@DF_BC(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,COMBINED_UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"title":"1.03","type":"SEARCH_WEIGHT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.CM:DSD_FP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_FP@DF_FPS(1.0)":{"id":"DSD_FP@DF_FPS","name":"Asset-backed pensions - main database","description":"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.\n\nThis 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.","agencyID":"OECD.DAF.CM","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_FP@DF_FPS(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,COMBINED_UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA,PLAN_TYPE,DEFINITION_TYPE,VEHICLE_TYPE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MEASURE=1000,PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"title":"1.07","type":"SEARCH_WEIGHT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.CM:DSD_FP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_FP@DF_MB(1.0)":{"id":"DSD_FP@DF_MB","name":"Pension plan membership","description":"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.\n\nThis 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).","agencyID":"OECD.DAF.CM","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_FP@DF_MB(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T","type":"DEFAULT"},{"title":"UNIT_MEASURE:UNIT_MEASURE","type":"COMBINED_CONCEPTS","text":"UNIT_MEASURE:Unit of measure"},{"title":"1.02","type":"SEARCH_WEIGHT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.CM:DSD_FP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_FP@DF_OC(1.0)":{"id":"DSD_FP@DF_OC","name":"Operating costs of asset-backed pensions","description":"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.\n\nThis 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).","agencyID":"OECD.DAF.CM","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_FP@DF_OC(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T","type":"DEFAULT"},{"title":"UNIT_MEASURE:UNIT_MEASURE","type":"COMBINED_CONCEPTS","text":"UNIT_MEASURE:Unit of measure"},{"title":"1.01","type":"SEARCH_WEIGHT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.CM:DSD_FP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_FP@DF_PA(1.0)":{"id":"DSD_FP@DF_PA","name":"Assets earmarked for retirement","description":"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. \n\nThis dataset shows the amount of assets - expressed in national currency, USD and as a percentage of GDP - by type of vehicle.\n\nData cover employers’ book reserves but do not cover reserves of public (pay-as-you-go) pension arrangements.","agencyID":"OECD.DAF.CM","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_FP@DF_PA(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"UNIT_MEASURE=USD, VEHICLE_TYPE=_T","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"title":"1.06","type":"SEARCH_WEIGHT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.CM:DSD_FP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_FP@DF_SPS(1.0)":{"id":"DSD_FP@DF_SPS","name":"Structure of asset-backed pensions","description":"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.\n\nThis 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.","agencyID":"OECD.DAF.CM","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_FP@DF_SPS(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"VEHICLE_TYPE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA,MEASURE,UNIT_MEASURE,PLAN_TYPE,DEFINITION_TYPE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MEASURE=AFV","type":"DEFAULT"},{"title":"UNIT_MEASURE:UNIT_MEASURE","type":"COMBINED_CONCEPTS","text":"UNIT_MEASURE:Unit of measure"},{"title":"1.05","type":"SEARCH_WEIGHT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.CM:DSD_FP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_FP@DF_WI(1.0)":{"id":"DSD_FP@DF_WI","name":"Asset allocation of pension funds and other pension providers","description":"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.\n\nThis 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).","agencyID":"OECD.DAF.CM","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_FP@DF_WI(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"UNIT_MEASURE=PT_AS,PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"title":"1.04","type":"SEARCH_WEIGHT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.CM:DSD_FP(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_INS@DF_ASSET_ALLOC(1.0)":{"id":"DSD_INS@DF_ASSET_ALLOC","name":"Asset allocation of insurance companies","description":"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).","agencyID":"OECD.DAF.CM","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_INS@DF_ASSET_ALLOC(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"1.011","type":"SEARCH_WEIGHT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.CM:DSD_INS(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_INS@DF_BSI(1.0)":{"id":"DSD_INS@DF_BSI","name":"Balance sheet and income statement of insurance companies","description":"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.","agencyID":"OECD.DAF.CM","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_INS@DF_BSI(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"UNIT_MEASURE=USD,INSURANCE_TYPE=_T,INSURER_TYPE=DIR","type":"DEFAULT"},{"title":"1.009","type":"SEARCH_WEIGHT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.CM:DSD_INS(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_INS@DF_BUSINESS_ABROAD(1.0)":{"id":"DSD_INS@DF_BUSINESS_ABROAD","name":"Insurance business written abroad","description":"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).","agencyID":"OECD.DAF.CM","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_INS@DF_BUSINESS_ABROAD(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MEASURE=GRS,UNIT_MEASURE=USD,OWNERSHIP=BASUB_T,INSURANCE_TYPE=_T,INSURANCE_BUSINESS=_T,COUNTERPART_AREA=W","type":"DEFAULT"},{"title":"1.012","type":"SEARCH_WEIGHT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.CM:DSD_INS(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_INS@DF_CLASSES(1.0)":{"id":"DSD_INS@DF_CLASSES","name":"Insurance business written by class of insurance","description":"This dataset covers the breakdown of premiums by insurance class for life and non-life insurance.","agencyID":"OECD.DAF.CM","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_INS@DF_CLASSES(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"INSURANCE_CLASS","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MEASURE=GRS,UNIT_MEASURE=USD,INSURANCE_BUSINESS=_T","type":"DEFAULT"},{"title":"1.013","type":"SEARCH_WEIGHT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.CM:DSD_INS(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_INS@DF_IND(1.0)":{"id":"DSD_INS@DF_IND","name":"Insurance indicators","description":"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.","agencyID":"OECD.DAF.CM","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_INS@DF_IND(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,PREMIUMS,COMBINED_UNIT_MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"INSURANCE_TYPE=_T","type":"DEFAULT"},{"title":"1.015","type":"SEARCH_WEIGHT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.CM:DSD_INS(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_INS@DF_NB_COMP(1.0)":{"id":"DSD_INS@DF_NB_COMP","name":"Insurance companies and employees","description":"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.","agencyID":"OECD.DAF.CM","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_INS@DF_NB_COMP(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"OWNERSHIP","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MEASURE=UND,INSURANCE_TYPE=_T,EMPLOYER_TYPE=_Z","type":"DEFAULT"},{"title":"1.008","type":"SEARCH_WEIGHT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.CM:DSD_INS(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_INS@DF_UNDERWRITING(1.0)":{"id":"DSD_INS@DF_UNDERWRITING","name":"Premiums, claims and expenses of insurance companies","description":"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.","agencyID":"OECD.DAF.CM","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.CM:DSD_INS@DF_UNDERWRITING(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE,CONTRACT_TYPE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"UNIT_MEASURE=USD,OWNERSHIP=UND_T,INSURANCE_TYPE=_T,INSURANCE_BUSINESS=_T,CONTRACT_TYPE=_T+_Z,RISK_LOCATION=_Z","type":"DEFAULT"},{"title":"1.014","type":"SEARCH_WEIGHT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.CM:DSD_INS(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.COMP:DSD_CARTEL_QDD@DF_QDD_CARTEL(1.0)":{"id":"DSD_CARTEL_QDD@DF_QDD_CARTEL","name":"The OECD International Cartels Database (microdata)","description":"<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>","agencyID":"OECD.DAF.COMP","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.COMP:DSD_CARTEL_QDD@DF_QDD_CARTEL(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"CARTEL_NAME,BID_RIGGING,INDUSTRY,SANCTION_TYPE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"JURISDICTION","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"DD_DIM,DD_ID","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"DD_DIM=_T","type":"DEFAULT"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"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"},{"id":"@SDMX","title":"DD_DIM","type":"DRILLDOWN"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.COMP:DSD_CARTEL_QDD(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.COMP:DSD_CEC_QDD@DF_QDD_CEC(1.0)":{"id":"DSD_CEC_QDD@DF_QDD_CEC","name":"The Competition Enforcement Co-operation Database","description":"<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>\n<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>\n<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>\n<p>5 sets of data are included:</p><div>1.\tJurisdiction and authority general information<br/>2.\tContacts in charge of international enforcement co-operation<br/>3.\tPractices in terms of international enforcement co-operation<br/>4.\tLegal Bases for international enforcement co-operation<br/>5.\tAvailability 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>\t<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>\t<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","agencyID":"OECD.DAF.COMP","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.COMP:DSD_CEC_QDD@DF_QDD_CEC(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"INFO","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"JURISDICTION","type":"LAYOUT_COLUMN"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.COMP:DSD_CEC_QDD(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_AGGR_SUMM(1.0)":{"id":"DSD_FDI@DF_FDI_AGGR_SUMM","name":"FDI main aggregates, BMD4","description":"<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\"> \n<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>\n<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>","agencyID":"OECD.DAF.INV","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_AGGR_SUMM(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE_PRINCIPLE,TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"UNIT_MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"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","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MEASURE=T_FA_F,UNIT_MEASURE=USD_EXC+RC,FREQ=Q,LASTNPERIODS=5","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"title":"8000","type":"MAX_TABLE_DATA"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.INV:DSD_FDI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_CTRY_IND_HIST(1.0)":{"id":"DSD_FDI@DF_FDI_CTRY_IND_HIST","name":"FDI by counterpart area and by economic activity, BMD4 and historical BMD3","description":"<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>","agencyID":"OECD.DAF.INV","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_CTRY_IND_HIST(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"UNIT_MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"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","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"id":"@SDMX","title":"COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H,ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H","type":"HIER_CONTEXT"},{"title":"8000","type":"MAX_TABLE_DATA"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.INV:DSD_FDI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_CTRY_IND_SUMM(1.0)":{"id":"DSD_FDI@DF_FDI_CTRY_IND_SUMM","name":"FDI by counterpart area and by economic activity, BMD4","description":"<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\"> \n<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>\n<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>","agencyID":"OECD.DAF.INV","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_CTRY_IND_SUMM(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"UNIT_MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"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","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MEASURE=LE_FA_F+T_FA_F+T_D4P_F,UNIT_MEASURE=USD_EXC+RC,COUNTERPART_AREA=W,ACTIVITY=_T,LASTNPERIODS=2,DECIMALS=1","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"id":"@SDMX","title":"COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H,ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H","type":"HIER_CONTEXT"},{"title":"8000","type":"MAX_TABLE_DATA"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.INV:DSD_FDI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_FLOW_AGGR(1.0)":{"id":"DSD_FDI@DF_FDI_FLOW_AGGR","name":"FDI flows main aggregates, BMD4","description":"<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\"> \n<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>\n<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>","agencyID":"OECD.DAF.INV","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_FLOW_AGGR(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TYPE_ENTITY","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE_PRINCIPLE,ACCOUNTING_ENTRY,TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"UNIT_MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"SECTOR=S1,COUNTERPART_AREA=W,TYPE_ENTITY=_Z,LEVEL_COUNTERPART=IMC,ACTIVITY=_T,FDI_COLLECTION_ID=AGGR,OBS_STATUS=A,CONF_STATUS=F","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MEASURE=T_FA_F,FDI_COMP=D,TYPE_ENTITY=ALL+RSP,UNIT_MEASURE=USD_EXC+RC,FREQ=Q,LASTNPERIODS=2","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"title":"8000","type":"MAX_TABLE_DATA"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.INV:DSD_FDI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_FLOW_CTRY(1.0)":{"id":"DSD_FDI@DF_FDI_FLOW_CTRY","name":"FDI flows by counterpart area, BMD4","description":"<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\"> \n<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>\n<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>","agencyID":"OECD.DAF.INV","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_FLOW_CTRY(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTERPART_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY,ACCOUNTING_ENTRY","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"FDI_COMP=D,SECTOR=S1,ACTIVITY=_T,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"id":"@SDMX","title":"COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H","type":"HIER_CONTEXT"},{"title":"8000","type":"MAX_TABLE_DATA"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.INV:DSD_FDI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_FLOW_IND(1.0)":{"id":"DSD_FDI@DF_FDI_FLOW_IND","name":"FDI flows by economic activity, BMD4","description":"<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\"> \n<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>\n<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>","agencyID":"OECD.DAF.INV","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_FLOW_IND(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"ACTIVITY","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY,ACCOUNTING_ENTRY","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"FDI_COMP=D,SECTOR=S1,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"id":"@SDMX","title":"ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H","type":"HIER_CONTEXT"},{"title":"8000","type":"MAX_TABLE_DATA"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.INV:DSD_FDI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_INC_AGGR(1.0)":{"id":"DSD_FDI@DF_FDI_INC_AGGR","name":"FDI income main aggregates, BMD4","description":"<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\"> \n<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>\n<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>","agencyID":"OECD.DAF.INV","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_INC_AGGR(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TYPE_ENTITY","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE_PRINCIPLE,ACCOUNTING_ENTRY,TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"UNIT_MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"SECTOR=S1,COUNTERPART_AREA=W,TYPE_ENTITY=_Z,LEVEL_COUNTERPART=IMC,ACTIVITY=_T,FDI_COLLECTION_ID=AGGR,OBS_STATUS=A,CONF_STATUS=F","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MEASURE=T_D4P_F,FDI_COMP=D,TYPE_ENTITY=ALL+RSP,UNIT_MEASURE=USD_EXC+RC,FREQ=Q,LASTNPERIODS=2","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"title":"8000","type":"MAX_TABLE_DATA"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.INV:DSD_FDI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_INC_CTRY(1.0)":{"id":"DSD_FDI@DF_FDI_INC_CTRY","name":"FDI income by counterpart area, BMD4","description":"<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\"> \n<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>\n<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>","agencyID":"OECD.DAF.INV","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_INC_CTRY(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTERPART_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"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","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"id":"@SDMX","title":"COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H","type":"HIER_CONTEXT"},{"title":"8000","type":"MAX_TABLE_DATA"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.INV:DSD_FDI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_INC_IND(1.0)":{"id":"DSD_FDI@DF_FDI_INC_IND","name":"FDI income by economic activity, BMD4","description":"<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\"> \n<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>\n<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>","agencyID":"OECD.DAF.INV","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_INC_IND(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"ACTIVITY","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"ACCOUNTING_ENTRY=NET_FDI,FDI_COMP=D,SECTOR=S1,LEVEL_COUNTERPART=IMC,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"id":"@SDMX","title":"ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H","type":"HIER_CONTEXT"},{"title":"8000","type":"MAX_TABLE_DATA"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.INV:DSD_FDI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_POS_AGGR(1.0)":{"id":"DSD_FDI@DF_FDI_POS_AGGR","name":"FDI positions main aggregates, BMD4","description":"<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\"> \n<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>\n<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>","agencyID":"OECD.DAF.INV","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_POS_AGGR(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"REF_AREA,TYPE_ENTITY","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"MEASURE_PRINCIPLE,ACCOUNTING_ENTRY,TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"UNIT_MEASURE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"SECTOR=S1,COUNTERPART_AREA=W,TYPE_ENTITY=_Z,LEVEL_COUNTERPART=IMC,ACTIVITY=_T,FDI_COLLECTION_ID=AGGR,OBS_STATUS=A,CONF_STATUS=F","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MEASURE=LE_FA_F,FDI_COMP=D,TYPE_ENTITY=ALL+RSP,FREQ=A,LASTNPERIODS=2","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"title":"8000","type":"MAX_TABLE_DATA"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.INV:DSD_FDI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_POS_CTRY(1.0)":{"id":"DSD_FDI@DF_FDI_POS_CTRY","name":"FDI positions by counterpart area, BMD4","description":"<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\"> \n<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>\n<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>","agencyID":"OECD.DAF.INV","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_POS_CTRY(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"COUNTERPART_AREA","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,MEASURE_PRINCIPLE,LEVEL_COUNTERPART,MEASURE,TYPE_ENTITY,ACCOUNTING_ENTRY","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"FDI_COMP=D,SECTOR=S1,ACTIVITY=_T,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"id":"@SDMX","title":"COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H","type":"HIER_CONTEXT"},{"title":"8000","type":"MAX_TABLE_DATA"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.INV:DSD_FDI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_POS_IND(1.0)":{"id":"DSD_FDI@DF_FDI_POS_IND","name":"FDI positions by economic activity, BMD4","description":"<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>","agencyID":"OECD.DAF.INV","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDI@DF_FDI_POS_IND(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"ACTIVITY","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY,ACCOUNTING_ENTRY","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"FDI_COMP=D,SECTOR=S1,LEVEL_COUNTERPART=IMC,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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","type":"DEFAULT"},{"title":"COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Combined unit of measure"},{"id":"@SDMX","title":"ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H","type":"HIER_CONTEXT"},{"title":"8000","type":"MAX_TABLE_DATA"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.INV:DSD_FDI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDIRRI_REG_DATABASE@DF_FDIRRI_REG_DATABASE(1.0)":{"id":"DSD_FDIRRI_REG_DATABASE@DF_FDIRRI_REG_DATABASE","name":"OECD FDI Regulatory Restrictiveness Index - Regulatory Database (beta)","description":"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>.\n\nThe 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>","agencyID":"OECD.DAF.INV","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDIRRI_REG_DATABASE@DF_FDIRRI_REG_DATABASE(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"title":"V2/structure/dataflow/,/DSD_FDIRRI_SCORES@DF_FDIRRI_SCORES/latest","type":"RELATED_DATA"},{"id":"@SDMX","title":"REF_AREA,SECTOR_FDIRRI,POL_CAT,MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"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\n","type":"DEFAULT"},{"id":"@SDMX","title":"SECTOR_FDIRRI:OECD.DAF.INV:HCL_SECTOR_FDIRRI(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.INV:DSD_FDIRRI_REG_DATABASE(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDIRRI_SCORES@DF_FDIRRI_SCORES(1.0)":{"id":"DSD_FDIRRI_SCORES@DF_FDIRRI_SCORES","name":"OECD FDI Regulatory Restrictiveness Index - Scores (beta)","description":"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>","agencyID":"OECD.DAF.INV","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_FDIRRI_SCORES@DF_FDIRRI_SCORES(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"title":"V2/structure/dataflow/,/DSD_FDIRRI_REG_DATABASE@DF_FDIRRI_REG_DATABASE/latest","type":"RELATED_DATA"},{"id":"@SDMX","title":"REF_AREA,SECTOR_FDIRRI","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD,POL_CAT","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"MEASURE,SAF,EU_EX,LEG_PROV,COMMENT,OFF_SOURCES,OTH_SOURCES,LINK_SOURCES,MEASURE_STATUS,MEASURE_ID_FDIRRI,OBS_STATUS=A,UNIT_MULT=0","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"REF_AREA=ALL,LASTNPERIODS=1,SECTOR_FDIRRI=_T,POL_CAT=ALL","type":"DEFAULT"},{"id":"@SDMX","title":"SECTOR_FDIRRI:OECD.DAF.INV:HCL_SECTOR_FDIRRI(1.0).H","type":"HIER_CONTEXT"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.INV:DSD_FDIRRI_SCORES(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_QDD_FDI@DF_FDI_BMD4(1.0)":{"id":"DSD_QDD_FDI@DF_FDI_BMD4","name":"FDI statistics metadata, BMD4","description":"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>\n<ul style =\"list-style-type=square\"> \n<li><b>Section 1</b> relates to data and metadata dissemination by national sources;</li>\n<li><b>Section 2</b> relates to criteria and methods used for identifying direct investment enterprises;</li>\n<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>\n<li><b>Section 4</b> relates to the valuation of FDI positions;</li>\n<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>\n<li><b>Sections 6.A and 6.B</b> relate to the geographic and industry breakdown respectively of FDI;</li>\n<li><b>Section 7</b> covers Special Purpose Entities (SPEs);</li>\n<li><b>Section 8</b> covers FDI statistics by ultimate investing country;</li>\n<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>","agencyID":"OECD.DAF.INV","version":"1.0","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DAF.INV:DSD_QDD_FDI@DF_FDI_BMD4(1.0)","annotations":[{"type":"NonProductionDataflow","text":"true"},{"id":"@SDMX","title":"MEASURE","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"REF_AREA","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"REF_AREA=IRL","type":"DEFAULT"},{"id":"@SDMX","title":"MEASURE:OECD.DAF.INV:HCL_MEASURE_QDD(1.0).H","type":"HIER_CONTEXT"},{"title":"8000","type":"MAX_TABLE_DATA"}],"structure":{"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.DataStructure=OECD.DAF.INV:DSD_QDD_FDI(1.0)"}},"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DCD.FSD:DSD_CRS@DF_CRS(1.3)":{"id":"DSD_CRS@DF_CRS","name":"CRS: Creditor Reporting System (flows)","description":"<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>","agencyID":"OECD.DCD.FSD","version":"1.3","isFinal":true,"urn":"urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow=OECD.DCD.FSD:DSD_CRS@DF_CRS(1.3)","annotations":[{"id":"@SDMX","title":"RECIPIENT","type":"LAYOUT_ROW"},{"id":"@SDMX","title":"TIME_PERIOD","type":"LAYOUT_COLUMN"},{"id":"@SDMX","title":"DONOR,SECTOR,FLOW,CHANNEL,FLOWTYPE,AIDTYPE,AMOUNTTYPE","type":"LAYOUT_ROW_SECTION"},{"id":"@SDMX","title":"MD_DIM","type":"DRILLDOWN"},{"id":"@SDMX","title":"0.95","type":"SEARCH_WEIGHT"},{"id":"@SDMX","title":"OBS_STATUS=A,MD_DIM,MD_ID,ALLOCABLE,MARKER,SCORE","type":"NOT_DISPLAYED"},{"id":"@SDMX","title":"MD_DIM=_T,LASTNPERIODS=5,DONOR=DAC,SECTOR=1000,MEASURE=100,CHANNEL=_T,MODALITY=_T,FLOW_TYPE=D,PRICE_BASE=Q","type":"DEFAULT"},{"id":"@SDMX","title":"DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.1).H","type":"HIER_CONTEXT"},{"title":"UNIT_MEASURE,UNIT_MULT,BASE_PER","type":"COMBINED_CONCEPTS","text":"COMBINED_UNIT_MEASURE:Unit of measure"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS-README|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=aa82b330-f4e5-4230-ba0c-fd3441bb80bb"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS-Parquet-v241025|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=50f0355e-8f61-4230-85f3-90b4db45bfc9"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS-reduced-parquet-v241025|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3ff88887-18dc-43c8-abfc-ae49fe52c577"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2023 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2c5b7733-44c8-4c4c-a59b-1f7c2d75df8c"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2022 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0f9670bd-5900-4e07-b49a-384890334534"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2021 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d85be660-7811-45c1-b807-810b42055259"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2020 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ac3a59f6-5acb-4747-9ef3-3c00e2ab3eb5"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2019 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=348f223c-7d11-43ad-ab95-b7c0ab537fdd"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2018 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed94e89a-e81e-4718-ac69-2a51f5429657"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2017 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=bf6e1a95-a4ac-4545-9e91-1a38c9b738de"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2016 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b64f050c-4e2f-44ed-a8e6-db32ce00fd4f"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2015 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4440e8de-f471-479a-9692-ddd7bf06d7d2"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2014 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a990e786-6647-4e5a-8795-bbec445294ba"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2013 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fa4ae8e5-a954-4cd5-ae72-9053094bf98d"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2012 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed338f01-47b7-421c-92be-dee8141202e8"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2011 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=05dd3f52-a5fd-4d20-8ded-2b4159a5677b"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2010 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cb44825a-d8e8-41b0-80f8-f42e67f96136"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2009 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a530b713-0f45-48d7-b921-e3a70871ba58"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2008 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=251471b4-5117-49cf-8d73-7e9b4eb1860a"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2007 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=f49c3166-e1fd-48f1-831a-c1fe38b96c1f"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2006 (dotStat format)-v241224|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8d7734f9-4fc6-4c3a-994f-8bfd2713173d"},{"id":"@SDMX","type":"EXT_RESOURCE","text":"CRS 2004-05 (dotStat format)-v241224|https://stats.oecd.org/